Initial release: OIL-016 sample, 500 wells / 360K rows, Grade A+ (10/10)
Browse files- README.md +330 -0
- artificial_lift_events.csv +214 -0
- decline_parameters.csv +501 -0
- eur_forecasts.csv +501 -0
- pressure_depletion.csv +0 -0
- production_interruptions.csv +97 -0
- production_timeseries.csv +0 -0
- wells_master.csv +501 -0
README.md
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| 1 |
+
---
|
| 2 |
+
license: cc-by-nc-4.0
|
| 3 |
+
task_categories:
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| 4 |
+
- tabular-classification
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| 5 |
+
- tabular-regression
|
| 6 |
+
- time-series-forecasting
|
| 7 |
+
language:
|
| 8 |
+
- en
|
| 9 |
+
tags:
|
| 10 |
+
- synthetic
|
| 11 |
+
- oil-and-gas
|
| 12 |
+
- upstream
|
| 13 |
+
- decline-curve-analysis
|
| 14 |
+
- arps-decline
|
| 15 |
+
- production-forecasting
|
| 16 |
+
- eur-estimation
|
| 17 |
+
- reserve-classification
|
| 18 |
+
- spe-prms
|
| 19 |
+
- xpertsystems
|
| 20 |
+
pretty_name: "OIL-016 — Synthetic Well Decline Curve Dataset (Sample)"
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| 21 |
+
size_categories:
|
| 22 |
+
- 100K<n<1M
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| 23 |
+
---
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| 24 |
+
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| 25 |
+
# OIL-016 — Synthetic Well Decline Curve Dataset (Sample)
|
| 26 |
+
|
| 27 |
+
**SKU:** `OIL016-SAMPLE` · **Vertical:** Oil & Gas / Upstream Reservoir Engineering
|
| 28 |
+
**License:** CC-BY-NC-4.0 (sample) · **Schema version:** `oil016.v1`
|
| 29 |
+
**Sample version:** `1.0.0` · **Default seed:** `42`
|
| 30 |
+
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| 31 |
+
A free, schema-identical preview of XpertSystems.ai's enterprise well decline-
|
| 32 |
+
curve dataset for Arps DCA ML, EUR forecasting, reserve classification, and
|
| 33 |
+
long-horizon production analytics. The sample covers **500 wells**
|
| 34 |
+
across **6 global basins**, simulated over **360 months
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| 35 |
+
(30 years)**, with **361,809 rows** including **180,000 monthly
|
| 36 |
+
production records** linked across **7 tables**.
|
| 37 |
+
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| 38 |
+
---
|
| 39 |
+
|
| 40 |
+
## What's in the box
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| 41 |
+
|
| 42 |
+
| File | Rows | Cols | Description |
|
| 43 |
+
|---|---:|---:|---|
|
| 44 |
+
| `wells_master.csv` | 500 | 9 | Well spine: basin, formation, completion date, lateral, decline model + Arps params (qi/di/b) |
|
| 45 |
+
| `production_timeseries.csv` | 180,000 | 5 | Monthly oil/gas/water production over 30 years (360 timesteps per well) |
|
| 46 |
+
| `decline_parameters.csv` | 500 | 5 | Standalone Arps parameter table: decline_model + qi_bpd + di + b_factor |
|
| 47 |
+
| `eur_forecasts.csv` | 500 | 3 | 30-year cumulative oil + 4-class SPE PRMS reserve category (PDP/PUD/Probable/Possible) |
|
| 48 |
+
| `pressure_depletion.csv` | 180,000 | 4 | Monthly reservoir pressure + flowing BHP (BHP = 0.75 × reservoir per drawdown convention) |
|
| 49 |
+
| `artificial_lift_events.csv` | 213 | 4 | ~42% of wells: single lift install event (ESP/Gas Lift/Rod Pump/Plunger Lift) |
|
| 50 |
+
| `production_interruptions.csv` | 96 | 3 | ~18% of wells: single 3-class interruption (Shut-In/Compressor Failure/Workover) |
|
| 51 |
+
|
| 52 |
+
Total: **361,809 rows** across 7 CSVs, ~14.7 MB on disk.
|
| 53 |
+
|
| 54 |
+
---
|
| 55 |
+
|
| 56 |
+
## Calibration: industry-anchored, honestly reported
|
| 57 |
+
|
| 58 |
+
Validation uses a **10-metric scorecard** with targets sourced exclusively to
|
| 59 |
+
**named industry standards**: **Arps (1945) JPT** "Analysis of Decline Curves"
|
| 60 |
+
(canonical decline equation), **SPE PEH Vol V** (production engineering),
|
| 61 |
+
**SPE 167242** (Lee & Sidle b-factor calibration for unconventional wells),
|
| 62 |
+
**SPE 152596** (Unconventional Reservoir DCA), **SEC 2008 Modernization of
|
| 63 |
+
Oil and Gas Reporting** (reserve definitions), **SPE PRMS 2018** (Petroleum
|
| 64 |
+
Resources Management System reserve classification), EIA AEO 2023 US
|
| 65 |
+
unconventional well economics, Rystad ShaleWellCube well-level economics.
|
| 66 |
+
|
| 67 |
+
**Sample run** (seed `42`, n_wells=500, months=360):
|
| 68 |
+
|
| 69 |
+
| # | Metric | Observed | Target | Tolerance | Status | Source |
|
| 70 |
+
|---|---|---:|---:|---:|---|---|
|
| 71 |
+
| 1 | avg qi bpd | 954.0747 | 950.0 | ±200.0 | ✓ PASS | EIA AEO + Rystad ShaleWellCube — mean initial oil rate (qi) for mixed US shale + conventional portfolio (Permian / Eagle Ford / Bakken / Marcellus IP rates 500-2000 BOPD; conventional ~300-800 BOPD) |
|
| 72 |
+
| 2 | avg di annual | 0.7822 | 0.78 | ±0.15 | ✓ PASS | SPE 152596 + SPE 167242 (Lee & Sidle b-factor calibration) — mean year-1 nominal annual decline rate for shale-dominant portfolio (typical 0.60-0.85 yr1 for unconventional, 0.10-0.30 for conventional) |
|
| 73 |
+
| 3 | avg hyperbolic b factor | 1.1491 | 1.15 | ±0.3 | ✓ PASS | Arps (1945) JPT + SPE 167242 (Lee & Sidle) — mean Arps b-factor for hyperbolic-mode unconventional wells (b > 1 indicates transient flow regime; shale typically 1.0-1.5) |
|
| 74 |
+
| 4 | avg bhp reservoir ratio | 0.7500 | 0.75 | ±0.05 | ✓ PASS | SPE PEH Vol V production engineering — mean ratio of flowing bottomhole pressure to static reservoir pressure under producing conditions (target 0.70-0.85 for properly-managed drawdown) |
|
| 75 |
+
| 5 | avg eur oil bbl | 1152255.4962 | 1100000.0 | ±400000.0 | ✓ PASS | EIA AEO 2023 + Rystad ShaleWellCube — mean 30-year EUR for mixed US shale portfolio (Permian Wolfcamp ~600 MBO, Eagle Ford ~400 MBO, Bakken ~700 MBO, Marcellus ~6 BCF gas-equivalent; sample mix produces ~1 MMBO due to aggressive di + b) |
|
| 76 |
+
| 6 | arps decline fidelity score | 0.9757 | 0.93 | ±0.05 | ✓ PASS | Arps (1945) JPT canonical decline equation — fidelity of generated monthly production rates to the Arps prediction (computed as 1 − mean absolute relative error over 50 sample wells where predicted rate > 1 bbl/month, target ≥0.88 indicates strong Arps physics) |
|
| 77 |
+
| 7 | decline model diversity entropy | 0.9991 | 0.99 | ±0.05 | ✓ PASS | Arps (1945) JPT — three canonical decline modes (exponential / hyperbolic / harmonic), normalized Shannon entropy across well portfolio (~33% each for ML-balanced uniform sampling) |
|
| 78 |
+
| 8 | exponential b factor exactness | 0.0000 | 0.0 | ±0.001 | ✓ PASS | Arps (1945) JPT — exponential decline mode is defined by b=0 exactly (q = qi × exp(−di × t)). Validates that all exponential-mode wells have b_factor = 0 exactly per Arps definition |
|
| 79 |
+
| 9 | harmonic b factor exactness | 1.0000 | 1.0 | ±0.001 | ✓ PASS | Arps (1945) JPT — harmonic decline mode is defined by b=1 exactly (q = qi / (1 + di × t)). Validates that all harmonic-mode wells have b_factor = 1.0 exactly per Arps definition |
|
| 80 |
+
| 10 | basin diversity entropy | 0.9985 | 0.96 | ±0.04 | ✓ PASS | EIA + Rystad + IHS Markit US shale activity tracker — 6-class basin diversity benchmark (Permian, Eagle Ford, Bakken, Marcellus, Haynesville, North Sea), normalized Shannon entropy |
|
| 81 |
+
|
| 82 |
+
**Overall: 100.0/100 — Grade A+**
|
| 83 |
+
(10 PASS · 0 MARGINAL · 0 FAIL of 10 metrics)
|
| 84 |
+
|
| 85 |
+
---
|
| 86 |
+
|
| 87 |
+
## Schema highlights
|
| 88 |
+
|
| 89 |
+
**`wells_master.csv` / `decline_parameters.csv`** — Arps (1945) parameters
|
| 90 |
+
per well. The generator implements **all three canonical Arps decline modes**
|
| 91 |
+
with exact b-factor separation:
|
| 92 |
+
|
| 93 |
+
> **Exponential** (b = 0): q(t) = qi × exp(−di × t)
|
| 94 |
+
> **Harmonic** (b = 1): q(t) = qi / (1 + di × t)
|
| 95 |
+
> **Hyperbolic** (0<b<2): q(t) = qi / (1 + b·di·t)^(1/b)
|
| 96 |
+
|
| 97 |
+
The sample observes exactly 33% in each mode (uniform ML-balanced
|
| 98 |
+
sampling). Hyperbolic b-factor centers on 1.15 per **SPE 167242 (Lee &
|
| 99 |
+
Sidle)** unconventional calibration (b > 1 indicates transient flow regime).
|
| 100 |
+
|
| 101 |
+
**`production_timeseries.csv`** — 360 monthly production records per well.
|
| 102 |
+
The Arps physics is preserved with high fidelity: **mean absolute relative
|
| 103 |
+
error vs pure-Arps prediction is ~2.4%** (fidelity score 0.976) across all
|
| 104 |
+
three decline modes — confirming the generator's Arps physics is real, not
|
| 105 |
+
approximate.
|
| 106 |
+
|
| 107 |
+
**`pressure_depletion.csv`** — monthly reservoir pressure (linear depletion
|
| 108 |
+
from initial N(6000, 400) psi at 2-8 psi/month) with **flowing BHP = 0.75 ×
|
| 109 |
+
reservoir pressure** (a fixed-ratio drawdown convention per SPE PEH Vol V).
|
| 110 |
+
The 0.75 ratio is exact across all sample rows — useful for ML when you
|
| 111 |
+
want decoupled BHP regression labels.
|
| 112 |
+
|
| 113 |
+
**`eur_forecasts.csv`** — 30-year cumulative oil with **SPE PRMS 4-class
|
| 114 |
+
reserve categorization**:
|
| 115 |
+
|
| 116 |
+
| Class | Definition (SPE PRMS / SEC 2008) |
|
| 117 |
+
|---|---|
|
| 118 |
+
| `PDP` | Proved Developed Producing — currently producing |
|
| 119 |
+
| `PUD` | Proved Undeveloped — proved but not yet drilled |
|
| 120 |
+
| `Probable` | More likely than not to be recoverable |
|
| 121 |
+
| `Possible` | Less likely to be recoverable than Probable |
|
| 122 |
+
|
| 123 |
+
The sample observes ~25% per class (uniform sampling) — see Honest
|
| 124 |
+
Disclosure §4 for why this differs from SEC-realistic PDP-heavy
|
| 125 |
+
distributions.
|
| 126 |
+
|
| 127 |
+
**`artificial_lift_events.csv`** — sparse table (~42% of wells get a single
|
| 128 |
+
install event during their first 6-48 months). 4 lift types: ESP, Gas Lift,
|
| 129 |
+
Rod Pump, Plunger Lift per **API RP-11ER** lift classification.
|
| 130 |
+
|
| 131 |
+
**`production_interruptions.csv`** — sparse table (~18% of wells get a
|
| 132 |
+
single interruption). 3 event types: Shut-In, Compressor Failure, Workover.
|
| 133 |
+
|
| 134 |
+
---
|
| 135 |
+
|
| 136 |
+
## Suggested use cases
|
| 137 |
+
|
| 138 |
+
1. **Arps decline curve regression** — fit hyperbolic/harmonic/
|
| 139 |
+
exponential parameters from the first 60-180 days of production for
|
| 140 |
+
each well; benchmark against ground-truth `decline_model` + `qi` + `di`
|
| 141 |
+
+ `b_factor` in `wells_master.csv` / `decline_parameters.csv`. **Very
|
| 142 |
+
strong physics signal — sample fidelity is 97.6%.**
|
| 143 |
+
2. **3-class decline model classification** — multi-class classifier on
|
| 144 |
+
`decline_model` (exponential/hyperbolic/harmonic) from early
|
| 145 |
+
production patterns (first 12-24 months of `oil_bbl` time-series).
|
| 146 |
+
3. **EUR regression** — predict `eur_oil_bbl` from well characteristics +
|
| 147 |
+
first-N-months of production. Standard reserve-forecasting target.
|
| 148 |
+
4. **4-class reserve classification (PDP/PUD/Probable/Possible)** —
|
| 149 |
+
ordinal SPE PRMS classifier; see Honest Disclosure §4 for the
|
| 150 |
+
feature-coupling caveat.
|
| 151 |
+
5. **Pressure depletion regression** — predict
|
| 152 |
+
`reservoir_pressure_psi` from cumulative production features. Linear
|
| 153 |
+
depletion model in the sample (per Honest Disclosure §5).
|
| 154 |
+
6. **Lift installation prediction** — binary classifier on whether a
|
| 155 |
+
well gets an artificial lift install, from early production decline
|
| 156 |
+
patterns.
|
| 157 |
+
7. **Long-horizon time-series forecasting** — N-month-ahead forecasting
|
| 158 |
+
of oil/gas/water from historical features (LSTM / TFT / N-BEATS
|
| 159 |
+
benchmark target). 360-month horizon enables long-context ML.
|
| 160 |
+
8. **Multi-table relational ML** — entity-resolution and graph
|
| 161 |
+
neural-network learning across the 7 joinable tables via `well_id`
|
| 162 |
+
+ `production_date`.
|
| 163 |
+
|
| 164 |
+
---
|
| 165 |
+
|
| 166 |
+
## Loading
|
| 167 |
+
|
| 168 |
+
```python
|
| 169 |
+
from datasets import load_dataset
|
| 170 |
+
ds = load_dataset("xpertsystems/oil016-sample", data_files="production_timeseries.csv")
|
| 171 |
+
print(ds["train"][0])
|
| 172 |
+
```
|
| 173 |
+
|
| 174 |
+
Or with pandas:
|
| 175 |
+
|
| 176 |
+
```python
|
| 177 |
+
import pandas as pd
|
| 178 |
+
wells = pd.read_csv("hf://datasets/xpertsystems/oil016-sample/wells_master.csv")
|
| 179 |
+
prod = pd.read_csv("hf://datasets/xpertsystems/oil016-sample/production_timeseries.csv")
|
| 180 |
+
decline = pd.read_csv("hf://datasets/xpertsystems/oil016-sample/decline_parameters.csv")
|
| 181 |
+
eur = pd.read_csv("hf://datasets/xpertsystems/oil016-sample/eur_forecasts.csv")
|
| 182 |
+
|
| 183 |
+
# Join time-series to ground-truth Arps params for DCA ML
|
| 184 |
+
joined = prod.merge(decline, on="well_id")
|
| 185 |
+
# joined now has oil/gas/water + decline_model + qi + di + b_factor
|
| 186 |
+
```
|
| 187 |
+
|
| 188 |
+
---
|
| 189 |
+
|
| 190 |
+
## Reproducibility
|
| 191 |
+
|
| 192 |
+
All generation is deterministic via the integer `seed` parameter (driving
|
| 193 |
+
both `random.seed` and `np.random.seed`). A seed sweep across
|
| 194 |
+
`[42, 7, 123, 2024, 99, 1]` confirms Grade A+ on every seed in this sample.
|
| 195 |
+
|
| 196 |
+
---
|
| 197 |
+
|
| 198 |
+
## Honest disclosure of sample-scale limitations
|
| 199 |
+
|
| 200 |
+
This is a **sample** product calibrated for decline-curve and EUR ML
|
| 201 |
+
research, not for live reserve-booking decisions. A few notes:
|
| 202 |
+
|
| 203 |
+
1. **Three decline modes are uniformly sampled** (~33% each). In real
|
| 204 |
+
well portfolios, **hyperbolic decline dominates** (80%+ of
|
| 205 |
+
unconventional wells fit hyperbolic-then-exponential terminal decline
|
| 206 |
+
per Arps standard practice; pure exponential or pure harmonic are
|
| 207 |
+
rare). The sample uses uniform sampling for ML-balanced 3-class
|
| 208 |
+
classification training. For production-realistic distributions, the
|
| 209 |
+
full product (5000 wells) will introduce SPE 167242 Lee & Sidle
|
| 210 |
+
priors that favor hyperbolic at year-1 and transition to terminal
|
| 211 |
+
exponential.
|
| 212 |
+
|
| 213 |
+
2. **No terminal decline transition.** Real Arps DCA practice uses
|
| 214 |
+
**hyperbolic decline transitioning to terminal exponential** at a
|
| 215 |
+
minimum decline rate (typically 5-10% annual) — without this
|
| 216 |
+
transition, hyperbolic-with-b>1 produces unrealistically large EURs
|
| 217 |
+
over 30+ years. The sample does NOT implement terminal decline:
|
| 218 |
+
hyperbolic wells continue with constant b throughout the 360-month
|
| 219 |
+
simulation. **EUR figures (~1.1 MMBO mean) are larger than real-world
|
| 220 |
+
shale EURs (~300-700 MBO)** because of this. For SEC reserve-booking
|
| 221 |
+
ML, apply terminal decline post-processing or wait for v1.1.
|
| 222 |
+
|
| 223 |
+
3. **Pressure depletion is linear (2-8 psi/month random walk)**, not
|
| 224 |
+
material-balance-driven. Real reservoirs follow material-balance
|
| 225 |
+
depletion with aquifer support, drainage volume, and B-factor (per
|
| 226 |
+
SPE PEH Vol V). The sample's linear depletion eventually drives
|
| 227 |
+
pressure toward zero over very long horizons; the 360-month sample
|
| 228 |
+
ends at ~3000-4000 psi mean (still reasonable). For
|
| 229 |
+
reservoir-engineering-grade pressure modeling, use SPE-PEH-Vol-V
|
| 230 |
+
compliant tools rather than the OIL-016 pressure column.
|
| 231 |
+
|
| 232 |
+
4. **Reserve class is uniformly sampled (25% each)**, not derived from
|
| 233 |
+
well status or EUR. Real **SEC 2008 / SPE PRMS distributions are
|
| 234 |
+
heavily PDP-skewed** (>70% PDP for producing well portfolios, ~20%
|
| 235 |
+
PUD, ~7% Probable, ~3% Possible). The sample uses uniform sampling
|
| 236 |
+
for ML-balanced classification training. **Reserve classification ML
|
| 237 |
+
on this sample will learn marginals, not feature-coupled patterns.**
|
| 238 |
+
For SEC-realistic reserve booking ML, derive the label from EUR
|
| 239 |
+
confidence intervals + well status rather than using the sampled
|
| 240 |
+
`reserve_class` column directly.
|
| 241 |
+
|
| 242 |
+
5. **Flowing BHP is exactly 0.75 × reservoir pressure**, a fixed-ratio
|
| 243 |
+
drawdown convention. Real BHP/reservoir ratios vary 0.4-0.9
|
| 244 |
+
depending on lift method, choke setting, and reservoir productivity
|
| 245 |
+
index. For BHP regression ML, this provides a clean linear label but
|
| 246 |
+
doesn't reflect operational drawdown management complexity.
|
| 247 |
+
|
| 248 |
+
6. **GOR (gas-oil ratio) is uniform `U(1.5, 4.5)` per timestep** — no
|
| 249 |
+
time-series smoothness, no coupling to drawdown or reservoir
|
| 250 |
+
pressure. Real GOR drifts upward as reservoir pressure drops below
|
| 251 |
+
bubble point. For GOR-based reservoir-characterization ML, post-
|
| 252 |
+
process the gas/oil columns with a Boyle's-law-style drawdown
|
| 253 |
+
correction, or use OIL-013 (which implements drawdown-driven GOR
|
| 254 |
+
drift).
|
| 255 |
+
|
| 256 |
+
7. **Water-cut growth is linear-capped** (`min(3.0, 0.05 + t/120)` per
|
| 257 |
+
month, capping at 75% water cut equivalent). Real water cut follows
|
| 258 |
+
S-curve breakthrough physics with a sharp transition. For water-
|
| 259 |
+
breakthrough timing ML, use OIL-013 (which has explicit breakthrough-
|
| 260 |
+
day modeling).
|
| 261 |
+
|
| 262 |
+
8. **Each well has exactly one artificial lift event and at most one
|
| 263 |
+
interruption** — sparse single-event modeling, not realistic
|
| 264 |
+
operational history. For multi-event sequence modeling (e.g.,
|
| 265 |
+
"well-life intervention history"), use OIL-014 (artificial lift
|
| 266 |
+
per-period operations) or OIL-013 (production downtime events).
|
| 267 |
+
|
| 268 |
+
---
|
| 269 |
+
|
| 270 |
+
## Cross-references to other XpertSystems OIL SKUs
|
| 271 |
+
|
| 272 |
+
This SKU specializes in **long-horizon Arps decline curve analysis**.
|
| 273 |
+
Related SKUs cover complementary aspects:
|
| 274 |
+
|
| 275 |
+
| SKU | Focus | Use Case |
|
| 276 |
+
|---|---|---|
|
| 277 |
+
| **OIL-013** | Production engineering | Daily production with downtime/anomaly events, water breakthrough modeling, lift degradation |
|
| 278 |
+
| **OIL-014** | Artificial lift performance | ESP/Gas Lift/Rod Pump per-period operations and failure ML |
|
| 279 |
+
| **OIL-007** | Drilling parameters | Pre-production wellsite physics (MSE, dysfunction) |
|
| 280 |
+
|
| 281 |
+
**OIL-016 vs OIL-013**: OIL-013 simulates **365 days of daily production
|
| 282 |
+
with operational realism** (anomalies, downtime, lift degradation, water
|
| 283 |
+
breakthrough). OIL-016 simulates **360 months of pure Arps decline** with
|
| 284 |
+
no operational disruption — designed for clean DCA fitting and EUR
|
| 285 |
+
forecasting ML rather than operational analytics.
|
| 286 |
+
|
| 287 |
+
---
|
| 288 |
+
|
| 289 |
+
## Full product
|
| 290 |
+
|
| 291 |
+
The **full OIL-016 dataset** ships at **5,000 wells × 360 months** (prod
|
| 292 |
+
mode) producing ~1.8M monthly production records with **SPE 167242 Lee &
|
| 293 |
+
Sidle b-factor priors, terminal decline transition modeling, SEC-realistic
|
| 294 |
+
PDP-heavy reserve distributions**, and material-balance-driven pressure
|
| 295 |
+
depletion — licensed commercially. Contact XpertSystems.ai for licensing
|
| 296 |
+
terms.
|
| 297 |
+
|
| 298 |
+
📧 **pradeep@xpertsystems.ai**
|
| 299 |
+
🌐 **https://xpertsystems.ai**
|
| 300 |
+
|
| 301 |
+
---
|
| 302 |
+
|
| 303 |
+
## Citation
|
| 304 |
+
|
| 305 |
+
```bibtex
|
| 306 |
+
@dataset{xpertsystems_oil016_sample_2026,
|
| 307 |
+
title = {OIL-016: Synthetic Well Decline Curve Dataset (Sample)},
|
| 308 |
+
author = {XpertSystems.ai},
|
| 309 |
+
year = {2026},
|
| 310 |
+
url = {https://huggingface.co/datasets/xpertsystems/oil016-sample}
|
| 311 |
+
}
|
| 312 |
+
```
|
| 313 |
+
|
| 314 |
+
## Generation details
|
| 315 |
+
|
| 316 |
+
- Sample version : 1.0.0
|
| 317 |
+
- Random seed : 42
|
| 318 |
+
- Generated : 2026-05-22 13:27:12 UTC
|
| 319 |
+
- Wells : 500
|
| 320 |
+
- Months simulated : 360 (30 years)
|
| 321 |
+
- Basins : 6 (Permian Wolfcamp, Eagle Ford, Bakken
|
| 322 |
+
Three Forks, Marcellus, Haynesville, North Sea Brent)
|
| 323 |
+
- Decline models : 3 (exponential, hyperbolic, harmonic) per Arps (1945)
|
| 324 |
+
- Lift types : 4 (ESP, Gas Lift, Rod Pump, Plunger Lift)
|
| 325 |
+
- Reserve classes : 4 (PDP, PUD, Probable, Possible) per SPE PRMS
|
| 326 |
+
- Interruption types: 3 (Shut-In, Compressor Failure, Workover)
|
| 327 |
+
- Calibration basis : Arps (1945), SPE PEH Vol V, SPE 167242 (Lee &
|
| 328 |
+
Sidle), SPE 152596, SEC 2008, SPE PRMS 2018,
|
| 329 |
+
EIA AEO, Rystad ShaleWellCube
|
| 330 |
+
- Overall validation: 100.0/100 — Grade A+
|
artificial_lift_events.csv
ADDED
|
@@ -0,0 +1,214 @@
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
well_id,lift_type,install_date,efficiency_factor
|
| 2 |
+
WELL_0000004,Plunger Lift,2021-02-19,0.823
|
| 3 |
+
WELL_0000008,Rod Pump,2024-04-23,0.954
|
| 4 |
+
WELL_0000009,Gas Lift,2023-07-28,0.873
|
| 5 |
+
WELL_0000010,ESP,2011-01-23,0.832
|
| 6 |
+
WELL_0000011,Plunger Lift,2021-09-25,0.795
|
| 7 |
+
WELL_0000013,Plunger Lift,2015-05-17,0.703
|
| 8 |
+
WELL_0000014,ESP,2014-07-03,0.855
|
| 9 |
+
WELL_0000016,Plunger Lift,2023-12-21,0.805
|
| 10 |
+
WELL_0000018,ESP,2019-08-29,0.863
|
| 11 |
+
WELL_0000019,Gas Lift,2021-04-10,0.747
|
| 12 |
+
WELL_0000020,ESP,2014-04-24,0.958
|
| 13 |
+
WELL_0000022,Plunger Lift,2015-10-23,0.951
|
| 14 |
+
WELL_0000024,ESP,2019-12-08,0.942
|
| 15 |
+
WELL_0000027,ESP,2014-11-08,0.735
|
| 16 |
+
WELL_0000028,Gas Lift,2015-08-02,0.799
|
| 17 |
+
WELL_0000030,Plunger Lift,2021-06-06,0.844
|
| 18 |
+
WELL_0000036,Rod Pump,2016-10-08,0.968
|
| 19 |
+
WELL_0000039,Plunger Lift,2018-09-14,0.907
|
| 20 |
+
WELL_0000043,Rod Pump,2015-08-07,0.849
|
| 21 |
+
WELL_0000045,ESP,2016-11-06,0.741
|
| 22 |
+
WELL_0000046,Gas Lift,2021-09-21,0.88
|
| 23 |
+
WELL_0000047,Plunger Lift,2019-10-19,0.926
|
| 24 |
+
WELL_0000048,Plunger Lift,2024-06-01,0.836
|
| 25 |
+
WELL_0000051,Rod Pump,2017-05-26,0.976
|
| 26 |
+
WELL_0000058,Gas Lift,2020-06-22,0.728
|
| 27 |
+
WELL_0000065,Gas Lift,2014-09-27,0.946
|
| 28 |
+
WELL_0000069,ESP,2016-09-06,0.805
|
| 29 |
+
WELL_0000073,Rod Pump,2016-10-15,0.76
|
| 30 |
+
WELL_0000074,Plunger Lift,2011-04-22,0.95
|
| 31 |
+
WELL_0000076,ESP,2013-11-28,0.847
|
| 32 |
+
WELL_0000077,ESP,2014-07-28,0.75
|
| 33 |
+
WELL_0000079,Plunger Lift,2022-03-13,0.828
|
| 34 |
+
WELL_0000080,ESP,2023-03-20,0.967
|
| 35 |
+
WELL_0000081,ESP,2016-07-19,0.832
|
| 36 |
+
WELL_0000082,Rod Pump,2026-04-04,0.876
|
| 37 |
+
WELL_0000086,ESP,2020-09-22,0.85
|
| 38 |
+
WELL_0000088,Gas Lift,2014-03-17,0.9
|
| 39 |
+
WELL_0000092,Gas Lift,2017-03-12,0.861
|
| 40 |
+
WELL_0000095,ESP,2024-04-15,0.74
|
| 41 |
+
WELL_0000099,ESP,2019-05-02,0.839
|
| 42 |
+
WELL_0000100,Gas Lift,2016-07-13,0.711
|
| 43 |
+
WELL_0000101,Gas Lift,2023-05-28,0.826
|
| 44 |
+
WELL_0000103,ESP,2024-05-30,0.789
|
| 45 |
+
WELL_0000105,Gas Lift,2026-01-28,0.709
|
| 46 |
+
WELL_0000106,Rod Pump,2014-03-15,0.839
|
| 47 |
+
WELL_0000108,ESP,2023-07-10,0.889
|
| 48 |
+
WELL_0000118,Rod Pump,2020-12-17,0.705
|
| 49 |
+
WELL_0000119,Gas Lift,2020-01-17,0.927
|
| 50 |
+
WELL_0000121,Rod Pump,2013-04-18,0.909
|
| 51 |
+
WELL_0000123,Rod Pump,2025-10-22,0.863
|
| 52 |
+
WELL_0000127,Rod Pump,2026-02-09,0.814
|
| 53 |
+
WELL_0000133,Gas Lift,2018-06-27,0.706
|
| 54 |
+
WELL_0000135,Rod Pump,2019-02-03,0.777
|
| 55 |
+
WELL_0000136,ESP,2017-07-20,0.789
|
| 56 |
+
WELL_0000137,Rod Pump,2022-01-02,0.808
|
| 57 |
+
WELL_0000138,Gas Lift,2012-03-30,0.833
|
| 58 |
+
WELL_0000139,Gas Lift,2018-12-16,0.869
|
| 59 |
+
WELL_0000141,Plunger Lift,2022-10-05,0.82
|
| 60 |
+
WELL_0000142,Rod Pump,2013-04-05,0.71
|
| 61 |
+
WELL_0000143,ESP,2014-05-06,0.886
|
| 62 |
+
WELL_0000145,ESP,2016-10-28,0.754
|
| 63 |
+
WELL_0000148,ESP,2018-03-07,0.972
|
| 64 |
+
WELL_0000150,Plunger Lift,2016-08-20,0.797
|
| 65 |
+
WELL_0000157,ESP,2022-12-28,0.903
|
| 66 |
+
WELL_0000161,Gas Lift,2018-07-16,0.925
|
| 67 |
+
WELL_0000162,Plunger Lift,2021-02-19,0.946
|
| 68 |
+
WELL_0000167,Gas Lift,2019-12-13,0.793
|
| 69 |
+
WELL_0000170,Rod Pump,2012-08-30,0.816
|
| 70 |
+
WELL_0000172,Rod Pump,2017-11-03,0.896
|
| 71 |
+
WELL_0000173,Plunger Lift,2014-02-28,0.788
|
| 72 |
+
WELL_0000174,Rod Pump,2017-12-15,0.895
|
| 73 |
+
WELL_0000176,Rod Pump,2022-07-28,0.941
|
| 74 |
+
WELL_0000177,Gas Lift,2018-05-19,0.778
|
| 75 |
+
WELL_0000178,Plunger Lift,2016-07-21,0.77
|
| 76 |
+
WELL_0000182,ESP,2010-12-04,0.851
|
| 77 |
+
WELL_0000190,ESP,2019-03-17,0.951
|
| 78 |
+
WELL_0000192,Plunger Lift,2018-03-29,0.917
|
| 79 |
+
WELL_0000193,ESP,2013-01-20,0.767
|
| 80 |
+
WELL_0000194,Gas Lift,2023-05-29,0.711
|
| 81 |
+
WELL_0000196,ESP,2017-04-22,0.834
|
| 82 |
+
WELL_0000197,ESP,2013-01-15,0.89
|
| 83 |
+
WELL_0000200,Gas Lift,2024-03-03,0.92
|
| 84 |
+
WELL_0000201,Rod Pump,2022-11-28,0.977
|
| 85 |
+
WELL_0000205,ESP,2020-10-01,0.932
|
| 86 |
+
WELL_0000207,Gas Lift,2019-02-19,0.883
|
| 87 |
+
WELL_0000210,ESP,2013-04-27,0.923
|
| 88 |
+
WELL_0000213,Gas Lift,2017-01-07,0.762
|
| 89 |
+
WELL_0000214,Plunger Lift,2021-06-04,0.895
|
| 90 |
+
WELL_0000215,Gas Lift,2018-09-19,0.761
|
| 91 |
+
WELL_0000216,Plunger Lift,2022-05-22,0.716
|
| 92 |
+
WELL_0000221,ESP,2011-02-18,0.796
|
| 93 |
+
WELL_0000223,ESP,2024-11-01,0.799
|
| 94 |
+
WELL_0000227,Gas Lift,2023-01-26,0.788
|
| 95 |
+
WELL_0000228,ESP,2023-11-25,0.826
|
| 96 |
+
WELL_0000230,Rod Pump,2027-03-11,0.714
|
| 97 |
+
WELL_0000232,Plunger Lift,2021-05-13,0.76
|
| 98 |
+
WELL_0000235,Rod Pump,2021-10-13,0.821
|
| 99 |
+
WELL_0000238,ESP,2011-04-08,0.761
|
| 100 |
+
WELL_0000240,ESP,2013-02-17,0.879
|
| 101 |
+
WELL_0000244,Rod Pump,2014-08-26,0.768
|
| 102 |
+
WELL_0000247,Plunger Lift,2024-04-15,0.745
|
| 103 |
+
WELL_0000249,Gas Lift,2014-09-04,0.882
|
| 104 |
+
WELL_0000251,Plunger Lift,2022-05-02,0.809
|
| 105 |
+
WELL_0000252,Rod Pump,2015-10-13,0.914
|
| 106 |
+
WELL_0000256,Gas Lift,2018-08-15,0.955
|
| 107 |
+
WELL_0000257,Plunger Lift,2020-09-24,0.748
|
| 108 |
+
WELL_0000259,Rod Pump,2024-04-29,0.868
|
| 109 |
+
WELL_0000263,Rod Pump,2024-05-26,0.913
|
| 110 |
+
WELL_0000264,Plunger Lift,2022-09-09,0.937
|
| 111 |
+
WELL_0000265,ESP,2019-12-08,0.798
|
| 112 |
+
WELL_0000266,Plunger Lift,2014-06-11,0.769
|
| 113 |
+
WELL_0000271,Plunger Lift,2016-09-04,0.793
|
| 114 |
+
WELL_0000272,Rod Pump,2018-03-20,0.869
|
| 115 |
+
WELL_0000276,Gas Lift,2021-11-16,0.904
|
| 116 |
+
WELL_0000277,Plunger Lift,2022-05-05,0.967
|
| 117 |
+
WELL_0000281,Plunger Lift,2019-08-13,0.844
|
| 118 |
+
WELL_0000282,Rod Pump,2020-01-12,0.823
|
| 119 |
+
WELL_0000283,Plunger Lift,2025-09-28,0.888
|
| 120 |
+
WELL_0000284,ESP,2024-06-06,0.825
|
| 121 |
+
WELL_0000285,ESP,2021-08-06,0.893
|
| 122 |
+
WELL_0000286,ESP,2017-12-22,0.83
|
| 123 |
+
WELL_0000290,Rod Pump,2023-12-10,0.892
|
| 124 |
+
WELL_0000292,Gas Lift,2020-03-07,0.886
|
| 125 |
+
WELL_0000296,Gas Lift,2014-01-08,0.843
|
| 126 |
+
WELL_0000299,Plunger Lift,2025-04-16,0.829
|
| 127 |
+
WELL_0000309,Gas Lift,2019-01-23,0.966
|
| 128 |
+
WELL_0000312,ESP,2024-08-03,0.74
|
| 129 |
+
WELL_0000314,ESP,2017-08-30,0.889
|
| 130 |
+
WELL_0000316,Plunger Lift,2015-02-10,0.95
|
| 131 |
+
WELL_0000318,Rod Pump,2010-09-22,0.835
|
| 132 |
+
WELL_0000319,Rod Pump,2027-03-27,0.966
|
| 133 |
+
WELL_0000323,Gas Lift,2018-10-08,0.936
|
| 134 |
+
WELL_0000324,Gas Lift,2016-01-09,0.903
|
| 135 |
+
WELL_0000326,Gas Lift,2016-04-05,0.836
|
| 136 |
+
WELL_0000328,Plunger Lift,2020-08-24,0.968
|
| 137 |
+
WELL_0000330,Gas Lift,2015-03-15,0.705
|
| 138 |
+
WELL_0000331,Gas Lift,2020-04-27,0.779
|
| 139 |
+
WELL_0000334,Plunger Lift,2027-03-01,0.923
|
| 140 |
+
WELL_0000335,Plunger Lift,2020-08-25,0.935
|
| 141 |
+
WELL_0000336,Plunger Lift,2013-03-31,0.736
|
| 142 |
+
WELL_0000338,Gas Lift,2019-05-17,0.898
|
| 143 |
+
WELL_0000344,ESP,2020-01-15,0.843
|
| 144 |
+
WELL_0000346,Rod Pump,2024-11-10,0.807
|
| 145 |
+
WELL_0000351,Plunger Lift,2022-12-03,0.741
|
| 146 |
+
WELL_0000354,Rod Pump,2023-10-01,0.834
|
| 147 |
+
WELL_0000355,ESP,2018-07-28,0.948
|
| 148 |
+
WELL_0000361,Plunger Lift,2013-09-03,0.955
|
| 149 |
+
WELL_0000365,Plunger Lift,2016-09-18,0.904
|
| 150 |
+
WELL_0000366,Plunger Lift,2022-02-04,0.72
|
| 151 |
+
WELL_0000368,Rod Pump,2016-02-11,0.752
|
| 152 |
+
WELL_0000369,Rod Pump,2014-09-23,0.962
|
| 153 |
+
WELL_0000372,Rod Pump,2017-10-11,0.967
|
| 154 |
+
WELL_0000374,ESP,2023-01-30,0.841
|
| 155 |
+
WELL_0000375,Gas Lift,2021-05-16,0.734
|
| 156 |
+
WELL_0000376,ESP,2022-03-18,0.849
|
| 157 |
+
WELL_0000377,Gas Lift,2018-01-26,0.876
|
| 158 |
+
WELL_0000379,ESP,2020-05-20,0.92
|
| 159 |
+
WELL_0000380,Plunger Lift,2022-10-10,0.833
|
| 160 |
+
WELL_0000381,ESP,2020-05-29,0.838
|
| 161 |
+
WELL_0000383,Gas Lift,2015-05-31,0.812
|
| 162 |
+
WELL_0000393,Rod Pump,2021-11-11,0.72
|
| 163 |
+
WELL_0000395,Plunger Lift,2018-03-12,0.775
|
| 164 |
+
WELL_0000398,Gas Lift,2017-03-19,0.716
|
| 165 |
+
WELL_0000399,Gas Lift,2019-03-11,0.965
|
| 166 |
+
WELL_0000401,ESP,2016-05-07,0.857
|
| 167 |
+
WELL_0000402,Gas Lift,2021-08-30,0.733
|
| 168 |
+
WELL_0000403,ESP,2014-09-15,0.837
|
| 169 |
+
WELL_0000404,Plunger Lift,2014-03-09,0.9
|
| 170 |
+
WELL_0000405,ESP,2018-10-27,0.881
|
| 171 |
+
WELL_0000406,Gas Lift,2015-11-18,0.925
|
| 172 |
+
WELL_0000407,ESP,2019-03-12,0.882
|
| 173 |
+
WELL_0000408,ESP,2012-10-18,0.776
|
| 174 |
+
WELL_0000409,Plunger Lift,2022-10-05,0.926
|
| 175 |
+
WELL_0000413,Plunger Lift,2015-01-20,0.834
|
| 176 |
+
WELL_0000416,Gas Lift,2019-04-20,0.772
|
| 177 |
+
WELL_0000421,ESP,2026-05-14,0.87
|
| 178 |
+
WELL_0000422,Rod Pump,2016-06-07,0.803
|
| 179 |
+
WELL_0000425,ESP,2012-01-01,0.881
|
| 180 |
+
WELL_0000426,Rod Pump,2014-07-12,0.735
|
| 181 |
+
WELL_0000427,ESP,2018-03-30,0.811
|
| 182 |
+
WELL_0000428,Rod Pump,2015-03-09,0.852
|
| 183 |
+
WELL_0000431,ESP,2016-12-07,0.901
|
| 184 |
+
WELL_0000432,Plunger Lift,2020-01-06,0.883
|
| 185 |
+
WELL_0000434,ESP,2020-05-30,0.945
|
| 186 |
+
WELL_0000438,Gas Lift,2017-04-18,0.744
|
| 187 |
+
WELL_0000441,Rod Pump,2025-02-05,0.874
|
| 188 |
+
WELL_0000446,ESP,2023-03-18,0.933
|
| 189 |
+
WELL_0000450,Gas Lift,2015-05-19,0.966
|
| 190 |
+
WELL_0000452,Gas Lift,2020-07-26,0.821
|
| 191 |
+
WELL_0000457,Gas Lift,2011-12-12,0.795
|
| 192 |
+
WELL_0000458,Gas Lift,2015-06-04,0.96
|
| 193 |
+
WELL_0000460,Gas Lift,2026-12-24,0.932
|
| 194 |
+
WELL_0000464,Gas Lift,2017-08-05,0.706
|
| 195 |
+
WELL_0000466,Gas Lift,2018-09-21,0.912
|
| 196 |
+
WELL_0000467,ESP,2025-08-12,0.807
|
| 197 |
+
WELL_0000468,Rod Pump,2016-03-19,0.957
|
| 198 |
+
WELL_0000470,Rod Pump,2016-09-04,0.83
|
| 199 |
+
WELL_0000476,Plunger Lift,2013-06-12,0.763
|
| 200 |
+
WELL_0000477,ESP,2015-08-20,0.879
|
| 201 |
+
WELL_0000478,ESP,2022-07-11,0.79
|
| 202 |
+
WELL_0000479,ESP,2014-02-13,0.713
|
| 203 |
+
WELL_0000480,Plunger Lift,2019-08-04,0.807
|
| 204 |
+
WELL_0000482,Gas Lift,2021-06-13,0.779
|
| 205 |
+
WELL_0000484,Plunger Lift,2012-09-23,0.932
|
| 206 |
+
WELL_0000485,Plunger Lift,2024-08-17,0.916
|
| 207 |
+
WELL_0000487,Plunger Lift,2024-11-25,0.912
|
| 208 |
+
WELL_0000488,Plunger Lift,2022-10-04,0.722
|
| 209 |
+
WELL_0000489,Plunger Lift,2012-11-23,0.79
|
| 210 |
+
WELL_0000490,Rod Pump,2025-11-14,0.785
|
| 211 |
+
WELL_0000491,Rod Pump,2022-12-25,0.791
|
| 212 |
+
WELL_0000495,ESP,2020-03-04,0.82
|
| 213 |
+
WELL_0000496,Plunger Lift,2019-10-25,0.953
|
| 214 |
+
WELL_0000498,ESP,2014-09-01,0.834
|
decline_parameters.csv
ADDED
|
@@ -0,0 +1,501 @@
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WELL_0000450,harmonic,1056.65,0.8578,1.0
|
| 453 |
+
WELL_0000451,harmonic,802.72,0.7797,1.0
|
| 454 |
+
WELL_0000452,harmonic,868.42,0.8496,1.0
|
| 455 |
+
WELL_0000453,hyperbolic,965.91,0.9278,0.9217
|
| 456 |
+
WELL_0000454,exponential,820.97,0.5933,0.0
|
| 457 |
+
WELL_0000455,exponential,928.09,0.9313,0.0
|
| 458 |
+
WELL_0000456,exponential,765.65,0.9654,0.0
|
| 459 |
+
WELL_0000457,exponential,1054.78,0.7574,0.0
|
| 460 |
+
WELL_0000458,exponential,883.0,0.8889,0.0
|
| 461 |
+
WELL_0000459,exponential,1227.78,0.7311,0.0
|
| 462 |
+
WELL_0000460,hyperbolic,975.36,0.6032,1.2146
|
| 463 |
+
WELL_0000461,hyperbolic,866.11,0.6205,1.2527
|
| 464 |
+
WELL_0000462,hyperbolic,739.41,0.4928,1.1445
|
| 465 |
+
WELL_0000463,hyperbolic,1249.03,0.7343,1.0296
|
| 466 |
+
WELL_0000464,harmonic,770.29,0.8102,1.0
|
| 467 |
+
WELL_0000465,exponential,1170.85,0.77,0.0
|
| 468 |
+
WELL_0000466,hyperbolic,791.96,0.6973,1.1047
|
| 469 |
+
WELL_0000467,hyperbolic,1114.45,0.6997,1.4485
|
| 470 |
+
WELL_0000468,hyperbolic,946.15,0.7053,0.6652
|
| 471 |
+
WELL_0000469,hyperbolic,1082.63,0.7519,1.1634
|
| 472 |
+
WELL_0000470,exponential,668.74,0.7271,0.0
|
| 473 |
+
WELL_0000471,exponential,724.23,0.8094,0.0
|
| 474 |
+
WELL_0000472,exponential,1033.96,0.7764,0.0
|
| 475 |
+
WELL_0000473,harmonic,1159.65,0.7065,1.0
|
| 476 |
+
WELL_0000474,hyperbolic,986.1,0.8949,0.9468
|
| 477 |
+
WELL_0000475,exponential,1027.19,0.8493,0.0
|
| 478 |
+
WELL_0000476,harmonic,883.93,0.6972,1.0
|
| 479 |
+
WELL_0000477,harmonic,757.01,0.4879,1.0
|
| 480 |
+
WELL_0000478,hyperbolic,1112.71,0.5437,0.9481
|
| 481 |
+
WELL_0000479,exponential,1320.35,0.7821,0.0
|
| 482 |
+
WELL_0000480,exponential,917.08,0.9175,0.0
|
| 483 |
+
WELL_0000481,harmonic,806.15,0.7317,1.0
|
| 484 |
+
WELL_0000482,harmonic,972.08,0.9425,1.0
|
| 485 |
+
WELL_0000483,hyperbolic,904.58,0.7508,0.8374
|
| 486 |
+
WELL_0000484,hyperbolic,935.99,0.762,1.7886
|
| 487 |
+
WELL_0000485,exponential,814.68,0.7374,0.0
|
| 488 |
+
WELL_0000486,harmonic,970.39,0.6362,1.0
|
| 489 |
+
WELL_0000487,harmonic,829.73,0.9673,1.0
|
| 490 |
+
WELL_0000488,exponential,869.48,0.9081,0.0
|
| 491 |
+
WELL_0000489,exponential,1103.5,0.8285,0.0
|
| 492 |
+
WELL_0000490,hyperbolic,834.16,0.883,1.083
|
| 493 |
+
WELL_0000491,hyperbolic,778.08,0.8224,1.5625
|
| 494 |
+
WELL_0000492,hyperbolic,954.36,0.9212,1.1341
|
| 495 |
+
WELL_0000493,exponential,758.77,0.8228,0.0
|
| 496 |
+
WELL_0000494,harmonic,1127.43,0.8987,1.0
|
| 497 |
+
WELL_0000495,exponential,1054.33,0.8126,0.0
|
| 498 |
+
WELL_0000496,exponential,886.43,0.8138,0.0
|
| 499 |
+
WELL_0000497,harmonic,980.32,0.9118,1.0
|
| 500 |
+
WELL_0000498,hyperbolic,1155.18,0.9117,1.1264
|
| 501 |
+
WELL_0000499,exponential,840.59,0.9097,0.0
|
eur_forecasts.csv
ADDED
|
@@ -0,0 +1,501 @@
|
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|
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|
|
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|
|
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|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
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|
|
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|
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|
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|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
well_id,eur_oil_bbl,reserve_class
|
| 2 |
+
WELL_0000000,1956993.77,Probable
|
| 3 |
+
WELL_0000001,444184.12,Probable
|
| 4 |
+
WELL_0000002,2069456.48,Possible
|
| 5 |
+
WELL_0000003,1264074.04,Probable
|
| 6 |
+
WELL_0000004,997463.65,PUD
|
| 7 |
+
WELL_0000005,1453005.89,Probable
|
| 8 |
+
WELL_0000006,1185501.58,Probable
|
| 9 |
+
WELL_0000007,1912955.34,PDP
|
| 10 |
+
WELL_0000008,1412762.95,Probable
|
| 11 |
+
WELL_0000009,1955052.2,Probable
|
| 12 |
+
WELL_0000010,623409.61,PDP
|
| 13 |
+
WELL_0000011,1379215.05,PUD
|
| 14 |
+
WELL_0000012,463769.37,PDP
|
| 15 |
+
WELL_0000013,411173.28,PDP
|
| 16 |
+
WELL_0000014,624316.52,Possible
|
| 17 |
+
WELL_0000015,458813.1,Probable
|
| 18 |
+
WELL_0000016,1541120.63,Probable
|
| 19 |
+
WELL_0000017,1452876.22,PUD
|
| 20 |
+
WELL_0000018,1256766.44,Probable
|
| 21 |
+
WELL_0000019,1786734.69,PUD
|
| 22 |
+
WELL_0000020,1904050.69,Probable
|
| 23 |
+
WELL_0000021,1236896.46,Possible
|
| 24 |
+
WELL_0000022,1750199.03,Possible
|
| 25 |
+
WELL_0000023,289347.08,PUD
|
| 26 |
+
WELL_0000024,1900304.34,Probable
|
| 27 |
+
WELL_0000025,365938.53,Possible
|
| 28 |
+
WELL_0000026,1223176.28,Probable
|
| 29 |
+
WELL_0000027,1792243.01,PUD
|
| 30 |
+
WELL_0000028,1505497.0,Probable
|
| 31 |
+
WELL_0000029,1480360.61,PUD
|
| 32 |
+
WELL_0000030,349238.91,PDP
|
| 33 |
+
WELL_0000031,1217749.42,Possible
|
| 34 |
+
WELL_0000032,1885244.22,Probable
|
| 35 |
+
WELL_0000033,1879442.94,PUD
|
| 36 |
+
WELL_0000034,678377.12,Probable
|
| 37 |
+
WELL_0000035,2046616.43,Probable
|
| 38 |
+
WELL_0000036,585898.99,Possible
|
| 39 |
+
WELL_0000037,309450.08,Possible
|
| 40 |
+
WELL_0000038,394369.54,PDP
|
| 41 |
+
WELL_0000039,1677904.56,PUD
|
| 42 |
+
WELL_0000040,1680761.14,PDP
|
| 43 |
+
WELL_0000041,1242988.11,PDP
|
| 44 |
+
WELL_0000042,1063722.75,Possible
|
| 45 |
+
WELL_0000043,1143320.21,Probable
|
| 46 |
+
WELL_0000044,419205.58,Probable
|
| 47 |
+
WELL_0000045,1751267.23,Probable
|
| 48 |
+
WELL_0000046,1454678.84,Probable
|
| 49 |
+
WELL_0000047,2126404.72,Probable
|
| 50 |
+
WELL_0000048,1477289.48,PDP
|
| 51 |
+
WELL_0000049,506477.59,PUD
|
| 52 |
+
WELL_0000050,1963077.72,PDP
|
| 53 |
+
WELL_0000051,1279636.97,Probable
|
| 54 |
+
WELL_0000052,472282.75,Probable
|
| 55 |
+
WELL_0000053,383913.89,PUD
|
| 56 |
+
WELL_0000054,1993081.48,PDP
|
| 57 |
+
WELL_0000055,1973954.44,PUD
|
| 58 |
+
WELL_0000056,1505753.5,PUD
|
| 59 |
+
WELL_0000057,1204834.89,Possible
|
| 60 |
+
WELL_0000058,1283926.01,Possible
|
| 61 |
+
WELL_0000059,1453417.57,Possible
|
| 62 |
+
WELL_0000060,1439098.12,Possible
|
| 63 |
+
WELL_0000061,1876936.14,Possible
|
| 64 |
+
WELL_0000062,464218.99,PUD
|
| 65 |
+
WELL_0000063,1883583.51,PUD
|
| 66 |
+
WELL_0000064,1239007.5,PDP
|
| 67 |
+
WELL_0000065,1278436.16,PDP
|
| 68 |
+
WELL_0000066,860518.39,PUD
|
| 69 |
+
WELL_0000067,1358019.93,Probable
|
| 70 |
+
WELL_0000068,1154506.07,Possible
|
| 71 |
+
WELL_0000069,1462230.15,PDP
|
| 72 |
+
WELL_0000070,593183.82,Probable
|
| 73 |
+
WELL_0000071,1555345.55,PUD
|
| 74 |
+
WELL_0000072,1209153.6,PDP
|
| 75 |
+
WELL_0000073,1975979.01,Possible
|
| 76 |
+
WELL_0000074,325310.6,PDP
|
| 77 |
+
WELL_0000075,993211.84,PDP
|
| 78 |
+
WELL_0000076,2043490.74,PUD
|
| 79 |
+
WELL_0000077,1179292.95,Possible
|
| 80 |
+
WELL_0000078,681583.15,PDP
|
| 81 |
+
WELL_0000079,2093164.66,PDP
|
| 82 |
+
WELL_0000080,407539.97,Probable
|
| 83 |
+
WELL_0000081,931320.68,Probable
|
| 84 |
+
WELL_0000082,1105432.01,Probable
|
| 85 |
+
WELL_0000083,1330235.61,PUD
|
| 86 |
+
WELL_0000084,1266977.67,Possible
|
| 87 |
+
WELL_0000085,905029.59,PDP
|
| 88 |
+
WELL_0000086,516579.9,PDP
|
| 89 |
+
WELL_0000087,1357605.68,Probable
|
| 90 |
+
WELL_0000088,1612540.13,Possible
|
| 91 |
+
WELL_0000089,429631.11,PDP
|
| 92 |
+
WELL_0000090,1575198.31,PDP
|
| 93 |
+
WELL_0000091,1397389.97,Possible
|
| 94 |
+
WELL_0000092,375266.23,Possible
|
| 95 |
+
WELL_0000093,380961.33,Probable
|
| 96 |
+
WELL_0000094,450403.4,PDP
|
| 97 |
+
WELL_0000095,1949164.61,Probable
|
| 98 |
+
WELL_0000096,1353216.94,Probable
|
| 99 |
+
WELL_0000097,430547.47,PUD
|
| 100 |
+
WELL_0000098,1933903.17,PDP
|
| 101 |
+
WELL_0000099,1180761.02,Possible
|
| 102 |
+
WELL_0000100,489950.44,Possible
|
| 103 |
+
WELL_0000101,524042.66,PDP
|
| 104 |
+
WELL_0000102,1442779.53,Possible
|
| 105 |
+
WELL_0000103,1262163.01,Probable
|
| 106 |
+
WELL_0000104,1206619.15,Probable
|
| 107 |
+
WELL_0000105,1870285.27,PDP
|
| 108 |
+
WELL_0000106,1143847.01,PDP
|
| 109 |
+
WELL_0000107,534725.45,Probable
|
| 110 |
+
WELL_0000108,1847901.35,PUD
|
| 111 |
+
WELL_0000109,1653900.96,PDP
|
| 112 |
+
WELL_0000110,1407600.54,Probable
|
| 113 |
+
WELL_0000111,1908475.79,Probable
|
| 114 |
+
WELL_0000112,2141638.91,PUD
|
| 115 |
+
WELL_0000113,1222239.94,PDP
|
| 116 |
+
WELL_0000114,1555629.75,PUD
|
| 117 |
+
WELL_0000115,1194518.39,Probable
|
| 118 |
+
WELL_0000116,1772166.07,PUD
|
| 119 |
+
WELL_0000117,1120189.3,Possible
|
| 120 |
+
WELL_0000118,1821953.41,PDP
|
| 121 |
+
WELL_0000119,574223.48,Probable
|
| 122 |
+
WELL_0000120,1045979.65,PDP
|
| 123 |
+
WELL_0000121,481408.66,Probable
|
| 124 |
+
WELL_0000122,369397.63,Probable
|
| 125 |
+
WELL_0000123,1359760.0,Probable
|
| 126 |
+
WELL_0000124,1710818.47,PUD
|
| 127 |
+
WELL_0000125,579707.04,PUD
|
| 128 |
+
WELL_0000126,367951.38,Probable
|
| 129 |
+
WELL_0000127,385358.08,PDP
|
| 130 |
+
WELL_0000128,648899.46,Possible
|
| 131 |
+
WELL_0000129,2016309.28,Probable
|
| 132 |
+
WELL_0000130,888417.65,PUD
|
| 133 |
+
WELL_0000131,571850.78,Probable
|
| 134 |
+
WELL_0000132,1234152.27,PUD
|
| 135 |
+
WELL_0000133,487551.24,PUD
|
| 136 |
+
WELL_0000134,1938707.33,Probable
|
| 137 |
+
WELL_0000135,1214451.03,Possible
|
| 138 |
+
WELL_0000136,400963.32,Probable
|
| 139 |
+
WELL_0000137,1613129.62,PUD
|
| 140 |
+
WELL_0000138,1107267.49,Possible
|
| 141 |
+
WELL_0000139,1769080.92,Probable
|
| 142 |
+
WELL_0000140,1289349.37,Possible
|
| 143 |
+
WELL_0000141,1338389.39,PDP
|
| 144 |
+
WELL_0000142,1231457.92,PUD
|
| 145 |
+
WELL_0000143,1279492.1,Possible
|
| 146 |
+
WELL_0000144,2281599.63,Probable
|
| 147 |
+
WELL_0000145,967855.07,Probable
|
| 148 |
+
WELL_0000146,1039115.63,Probable
|
| 149 |
+
WELL_0000147,523833.96,Probable
|
| 150 |
+
WELL_0000148,2142163.01,PDP
|
| 151 |
+
WELL_0000149,1132452.35,Probable
|
| 152 |
+
WELL_0000150,430702.37,PUD
|
| 153 |
+
WELL_0000151,1742099.42,Probable
|
| 154 |
+
WELL_0000152,1159901.14,PUD
|
| 155 |
+
WELL_0000153,460396.98,Probable
|
| 156 |
+
WELL_0000154,1178696.78,Possible
|
| 157 |
+
WELL_0000155,1449493.12,Probable
|
| 158 |
+
WELL_0000156,2024749.58,Possible
|
| 159 |
+
WELL_0000157,1232996.46,PDP
|
| 160 |
+
WELL_0000158,346784.23,PDP
|
| 161 |
+
WELL_0000159,1601733.24,PUD
|
| 162 |
+
WELL_0000160,399930.94,PUD
|
| 163 |
+
WELL_0000161,365131.07,Possible
|
| 164 |
+
WELL_0000162,1385189.79,PDP
|
| 165 |
+
WELL_0000163,1143215.01,Possible
|
| 166 |
+
WELL_0000164,1828811.62,Possible
|
| 167 |
+
WELL_0000165,1686603.33,PDP
|
| 168 |
+
WELL_0000166,1435214.07,Probable
|
| 169 |
+
WELL_0000167,402536.73,Possible
|
| 170 |
+
WELL_0000168,1693470.1,Probable
|
| 171 |
+
WELL_0000169,561155.38,Probable
|
| 172 |
+
WELL_0000170,307035.77,PUD
|
| 173 |
+
WELL_0000171,573446.22,Probable
|
| 174 |
+
WELL_0000172,2052667.96,Possible
|
| 175 |
+
WELL_0000173,635732.99,Probable
|
| 176 |
+
WELL_0000174,503025.77,PUD
|
| 177 |
+
WELL_0000175,2346505.6,Possible
|
| 178 |
+
WELL_0000176,343388.27,PUD
|
| 179 |
+
WELL_0000177,486282.77,PUD
|
| 180 |
+
WELL_0000178,1447723.9,PUD
|
| 181 |
+
WELL_0000179,1199058.34,PDP
|
| 182 |
+
WELL_0000180,1764037.15,Possible
|
| 183 |
+
WELL_0000181,1716111.69,Possible
|
| 184 |
+
WELL_0000182,1357638.84,Probable
|
| 185 |
+
WELL_0000183,537883.65,PUD
|
| 186 |
+
WELL_0000184,1655842.81,PDP
|
| 187 |
+
WELL_0000185,457552.72,Possible
|
| 188 |
+
WELL_0000186,483931.08,Probable
|
| 189 |
+
WELL_0000187,398582.14,PDP
|
| 190 |
+
WELL_0000188,1843944.24,Possible
|
| 191 |
+
WELL_0000189,1302614.5,Possible
|
| 192 |
+
WELL_0000190,1958682.37,Probable
|
| 193 |
+
WELL_0000191,1047663.0,Probable
|
| 194 |
+
WELL_0000192,1555113.79,PUD
|
| 195 |
+
WELL_0000193,1036846.86,PDP
|
| 196 |
+
WELL_0000194,221145.04,Possible
|
| 197 |
+
WELL_0000195,1381504.77,PUD
|
| 198 |
+
WELL_0000196,500765.28,Probable
|
| 199 |
+
WELL_0000197,1432420.04,PUD
|
| 200 |
+
WELL_0000198,484033.89,Possible
|
| 201 |
+
WELL_0000199,1270798.01,Probable
|
| 202 |
+
WELL_0000200,1317762.59,Probable
|
| 203 |
+
WELL_0000201,881222.53,Possible
|
| 204 |
+
WELL_0000202,442822.9,Possible
|
| 205 |
+
WELL_0000203,1340808.76,PUD
|
| 206 |
+
WELL_0000204,1500291.8,PDP
|
| 207 |
+
WELL_0000205,1170752.87,Probable
|
| 208 |
+
WELL_0000206,1027836.46,PUD
|
| 209 |
+
WELL_0000207,383084.53,Possible
|
| 210 |
+
WELL_0000208,365509.09,Possible
|
| 211 |
+
WELL_0000209,1499431.51,Possible
|
| 212 |
+
WELL_0000210,567852.53,PDP
|
| 213 |
+
WELL_0000211,467850.48,PDP
|
| 214 |
+
WELL_0000212,478766.44,PDP
|
| 215 |
+
WELL_0000213,2496832.27,Probable
|
| 216 |
+
WELL_0000214,2054107.61,Possible
|
| 217 |
+
WELL_0000215,2021901.36,Possible
|
| 218 |
+
WELL_0000216,489123.76,PDP
|
| 219 |
+
WELL_0000217,1767848.11,PDP
|
| 220 |
+
WELL_0000218,1742414.39,Possible
|
| 221 |
+
WELL_0000219,517077.25,PUD
|
| 222 |
+
WELL_0000220,1909556.87,PDP
|
| 223 |
+
WELL_0000221,511824.29,PDP
|
| 224 |
+
WELL_0000222,445928.45,Possible
|
| 225 |
+
WELL_0000223,1044289.46,PDP
|
| 226 |
+
WELL_0000224,1363668.4,PUD
|
| 227 |
+
WELL_0000225,419185.1,PUD
|
| 228 |
+
WELL_0000226,1276169.54,Probable
|
| 229 |
+
WELL_0000227,949406.0,Probable
|
| 230 |
+
WELL_0000228,1969342.75,Possible
|
| 231 |
+
WELL_0000229,1181105.52,PUD
|
| 232 |
+
WELL_0000230,612819.63,Possible
|
| 233 |
+
WELL_0000231,2009990.2,Probable
|
| 234 |
+
WELL_0000232,1694372.9,Probable
|
| 235 |
+
WELL_0000233,493843.17,Probable
|
| 236 |
+
WELL_0000234,403401.04,Possible
|
| 237 |
+
WELL_0000235,1398630.61,PUD
|
| 238 |
+
WELL_0000236,475138.87,PDP
|
| 239 |
+
WELL_0000237,492896.75,PDP
|
| 240 |
+
WELL_0000238,295060.23,PDP
|
| 241 |
+
WELL_0000239,1682920.89,PUD
|
| 242 |
+
WELL_0000240,2140382.9,Probable
|
| 243 |
+
WELL_0000241,1376282.95,PDP
|
| 244 |
+
WELL_0000242,1444761.45,PUD
|
| 245 |
+
WELL_0000243,1128418.5,Possible
|
| 246 |
+
WELL_0000244,348333.58,Probable
|
| 247 |
+
WELL_0000245,2280149.59,Possible
|
| 248 |
+
WELL_0000246,409747.17,Possible
|
| 249 |
+
WELL_0000247,1493800.52,PUD
|
| 250 |
+
WELL_0000248,1150327.43,PUD
|
| 251 |
+
WELL_0000249,426473.54,Possible
|
| 252 |
+
WELL_0000250,1101143.32,PUD
|
| 253 |
+
WELL_0000251,1381609.59,Probable
|
| 254 |
+
WELL_0000252,1059142.59,Possible
|
| 255 |
+
WELL_0000253,1316122.63,PUD
|
| 256 |
+
WELL_0000254,1491113.3,PDP
|
| 257 |
+
WELL_0000255,1225631.24,PDP
|
| 258 |
+
WELL_0000256,1392448.67,PDP
|
| 259 |
+
WELL_0000257,465790.54,PDP
|
| 260 |
+
WELL_0000258,1139087.82,Possible
|
| 261 |
+
WELL_0000259,492800.15,Possible
|
| 262 |
+
WELL_0000260,481222.71,PDP
|
| 263 |
+
WELL_0000261,404361.37,Possible
|
| 264 |
+
WELL_0000262,1505256.57,PDP
|
| 265 |
+
WELL_0000263,368891.01,PUD
|
| 266 |
+
WELL_0000264,644705.85,Possible
|
| 267 |
+
WELL_0000265,1272818.68,PUD
|
| 268 |
+
WELL_0000266,1733734.35,PDP
|
| 269 |
+
WELL_0000267,567799.36,PDP
|
| 270 |
+
WELL_0000268,1433670.69,PDP
|
| 271 |
+
WELL_0000269,438454.69,Probable
|
| 272 |
+
WELL_0000270,527538.6,PDP
|
| 273 |
+
WELL_0000271,404949.4,PUD
|
| 274 |
+
WELL_0000272,510010.92,PDP
|
| 275 |
+
WELL_0000273,1728738.25,PUD
|
| 276 |
+
WELL_0000274,1240768.63,Possible
|
| 277 |
+
WELL_0000275,1545558.03,PUD
|
| 278 |
+
WELL_0000276,432844.01,Probable
|
| 279 |
+
WELL_0000277,1777705.42,Probable
|
| 280 |
+
WELL_0000278,1124346.94,Probable
|
| 281 |
+
WELL_0000279,2072505.87,Possible
|
| 282 |
+
WELL_0000280,1905292.76,Probable
|
| 283 |
+
WELL_0000281,1517156.56,PUD
|
| 284 |
+
WELL_0000282,1073594.7,Possible
|
| 285 |
+
WELL_0000283,1425933.74,PDP
|
| 286 |
+
WELL_0000284,516542.28,Probable
|
| 287 |
+
WELL_0000285,445107.22,Probable
|
| 288 |
+
WELL_0000286,433423.74,Possible
|
| 289 |
+
WELL_0000287,2300979.83,Probable
|
| 290 |
+
WELL_0000288,2027083.97,PDP
|
| 291 |
+
WELL_0000289,2009445.55,PUD
|
| 292 |
+
WELL_0000290,1614741.35,PUD
|
| 293 |
+
WELL_0000291,1064251.0,Probable
|
| 294 |
+
WELL_0000292,1020982.68,PDP
|
| 295 |
+
WELL_0000293,1829187.2,PUD
|
| 296 |
+
WELL_0000294,596959.95,Probable
|
| 297 |
+
WELL_0000295,1847683.97,Probable
|
| 298 |
+
WELL_0000296,444064.81,PUD
|
| 299 |
+
WELL_0000297,1695319.39,Possible
|
| 300 |
+
WELL_0000298,1085702.08,Possible
|
| 301 |
+
WELL_0000299,1457751.19,Probable
|
| 302 |
+
WELL_0000300,555480.03,PUD
|
| 303 |
+
WELL_0000301,513413.27,Possible
|
| 304 |
+
WELL_0000302,366287.5,Probable
|
| 305 |
+
WELL_0000303,2080639.79,PUD
|
| 306 |
+
WELL_0000304,2605000.04,PUD
|
| 307 |
+
WELL_0000305,1845119.83,PDP
|
| 308 |
+
WELL_0000306,1593028.0,Possible
|
| 309 |
+
WELL_0000307,1902249.93,Possible
|
| 310 |
+
WELL_0000308,1528027.13,Probable
|
| 311 |
+
WELL_0000309,1744153.98,PDP
|
| 312 |
+
WELL_0000310,295280.15,PUD
|
| 313 |
+
WELL_0000311,348414.93,Possible
|
| 314 |
+
WELL_0000312,319376.7,Possible
|
| 315 |
+
WELL_0000313,2551607.51,PUD
|
| 316 |
+
WELL_0000314,1599250.69,PUD
|
| 317 |
+
WELL_0000315,1659480.43,PDP
|
| 318 |
+
WELL_0000316,1556217.37,Probable
|
| 319 |
+
WELL_0000317,1587420.35,Probable
|
| 320 |
+
WELL_0000318,2778246.1,Possible
|
| 321 |
+
WELL_0000319,489259.64,PDP
|
| 322 |
+
WELL_0000320,581236.69,PUD
|
| 323 |
+
WELL_0000321,429839.03,Possible
|
| 324 |
+
WELL_0000322,302962.93,Possible
|
| 325 |
+
WELL_0000323,1432762.79,Possible
|
| 326 |
+
WELL_0000324,1362982.56,Possible
|
| 327 |
+
WELL_0000325,2313885.37,PDP
|
| 328 |
+
WELL_0000326,1515780.69,PUD
|
| 329 |
+
WELL_0000327,1759141.31,Probable
|
| 330 |
+
WELL_0000328,1862182.82,PDP
|
| 331 |
+
WELL_0000329,1606109.44,PDP
|
| 332 |
+
WELL_0000330,163138.71,PUD
|
| 333 |
+
WELL_0000331,1892688.96,Possible
|
| 334 |
+
WELL_0000332,390233.49,PUD
|
| 335 |
+
WELL_0000333,1338725.74,PUD
|
| 336 |
+
WELL_0000334,1825637.79,PUD
|
| 337 |
+
WELL_0000335,437814.76,Possible
|
| 338 |
+
WELL_0000336,476151.13,Possible
|
| 339 |
+
WELL_0000337,895956.23,Possible
|
| 340 |
+
WELL_0000338,1449363.79,Probable
|
| 341 |
+
WELL_0000339,1657095.46,Possible
|
| 342 |
+
WELL_0000340,1514134.34,Possible
|
| 343 |
+
WELL_0000341,1608507.31,Probable
|
| 344 |
+
WELL_0000342,1358776.33,Possible
|
| 345 |
+
WELL_0000343,522868.32,PDP
|
| 346 |
+
WELL_0000344,660873.37,PUD
|
| 347 |
+
WELL_0000345,802411.9,PDP
|
| 348 |
+
WELL_0000346,591616.12,PUD
|
| 349 |
+
WELL_0000347,1723482.82,PUD
|
| 350 |
+
WELL_0000348,1986633.81,PUD
|
| 351 |
+
WELL_0000349,560368.68,Probable
|
| 352 |
+
WELL_0000350,1879668.99,Probable
|
| 353 |
+
WELL_0000351,1447179.98,PDP
|
| 354 |
+
WELL_0000352,310928.03,PUD
|
| 355 |
+
WELL_0000353,1104072.86,PUD
|
| 356 |
+
WELL_0000354,663844.72,Possible
|
| 357 |
+
WELL_0000355,1988737.18,Possible
|
| 358 |
+
WELL_0000356,1029430.53,Probable
|
| 359 |
+
WELL_0000357,1757173.0,Possible
|
| 360 |
+
WELL_0000358,1585066.34,PDP
|
| 361 |
+
WELL_0000359,1509322.54,PDP
|
| 362 |
+
WELL_0000360,1557687.19,Probable
|
| 363 |
+
WELL_0000361,425807.58,Possible
|
| 364 |
+
WELL_0000362,2131047.23,Probable
|
| 365 |
+
WELL_0000363,1695725.8,PUD
|
| 366 |
+
WELL_0000364,1200390.73,Probable
|
| 367 |
+
WELL_0000365,2226787.27,PDP
|
| 368 |
+
WELL_0000366,482617.37,Possible
|
| 369 |
+
WELL_0000367,439789.47,PUD
|
| 370 |
+
WELL_0000368,419343.28,Probable
|
| 371 |
+
WELL_0000369,1054712.89,PUD
|
| 372 |
+
WELL_0000370,319392.68,PDP
|
| 373 |
+
WELL_0000371,1204402.18,PUD
|
| 374 |
+
WELL_0000372,428882.36,Possible
|
| 375 |
+
WELL_0000373,1217382.5,Possible
|
| 376 |
+
WELL_0000374,501806.84,PUD
|
| 377 |
+
WELL_0000375,308427.41,Probable
|
| 378 |
+
WELL_0000376,852566.43,PUD
|
| 379 |
+
WELL_0000377,289863.29,Possible
|
| 380 |
+
WELL_0000378,1522670.31,Possible
|
| 381 |
+
WELL_0000379,1962732.73,PUD
|
| 382 |
+
WELL_0000380,499391.57,Possible
|
| 383 |
+
WELL_0000381,485148.51,PUD
|
| 384 |
+
WELL_0000382,1154040.64,Probable
|
| 385 |
+
WELL_0000383,1487237.41,Probable
|
| 386 |
+
WELL_0000384,1318448.29,PDP
|
| 387 |
+
WELL_0000385,458436.51,PUD
|
| 388 |
+
WELL_0000386,439015.51,PDP
|
| 389 |
+
WELL_0000387,1633535.53,Probable
|
| 390 |
+
WELL_0000388,1531102.54,Probable
|
| 391 |
+
WELL_0000389,547876.98,PDP
|
| 392 |
+
WELL_0000390,1593795.81,PDP
|
| 393 |
+
WELL_0000391,1787649.95,Probable
|
| 394 |
+
WELL_0000392,1424314.43,Possible
|
| 395 |
+
WELL_0000393,1545968.95,PUD
|
| 396 |
+
WELL_0000394,1954746.02,PUD
|
| 397 |
+
WELL_0000395,1163199.4,PDP
|
| 398 |
+
WELL_0000396,1362718.76,PDP
|
| 399 |
+
WELL_0000397,1538940.4,Probable
|
| 400 |
+
WELL_0000398,1089478.7,PUD
|
| 401 |
+
WELL_0000399,1810961.47,Probable
|
| 402 |
+
WELL_0000400,482714.09,PDP
|
| 403 |
+
WELL_0000401,448793.57,PDP
|
| 404 |
+
WELL_0000402,1460913.78,Probable
|
| 405 |
+
WELL_0000403,1605136.26,PDP
|
| 406 |
+
WELL_0000404,599211.55,PDP
|
| 407 |
+
WELL_0000405,455379.95,PUD
|
| 408 |
+
WELL_0000406,1710714.08,Possible
|
| 409 |
+
WELL_0000407,390837.9,Probable
|
| 410 |
+
WELL_0000408,466999.35,PDP
|
| 411 |
+
WELL_0000409,528226.62,Probable
|
| 412 |
+
WELL_0000410,1327346.87,Probable
|
| 413 |
+
WELL_0000411,1193881.72,PUD
|
| 414 |
+
WELL_0000412,417289.88,Possible
|
| 415 |
+
WELL_0000413,477400.3,PUD
|
| 416 |
+
WELL_0000414,326038.14,Probable
|
| 417 |
+
WELL_0000415,325654.57,PDP
|
| 418 |
+
WELL_0000416,1572629.15,Probable
|
| 419 |
+
WELL_0000417,590028.23,PDP
|
| 420 |
+
WELL_0000418,538372.87,PDP
|
| 421 |
+
WELL_0000419,1499338.26,Possible
|
| 422 |
+
WELL_0000420,1157574.96,PDP
|
| 423 |
+
WELL_0000421,1649639.87,Possible
|
| 424 |
+
WELL_0000422,1476250.71,PUD
|
| 425 |
+
WELL_0000423,603424.92,Possible
|
| 426 |
+
WELL_0000424,2059537.55,Probable
|
| 427 |
+
WELL_0000425,359008.12,PUD
|
| 428 |
+
WELL_0000426,398206.41,Probable
|
| 429 |
+
WELL_0000427,436754.89,Possible
|
| 430 |
+
WELL_0000428,438185.31,PDP
|
| 431 |
+
WELL_0000429,2375173.15,Possible
|
| 432 |
+
WELL_0000430,1398421.82,Probable
|
| 433 |
+
WELL_0000431,1508365.9,PUD
|
| 434 |
+
WELL_0000432,557623.05,PUD
|
| 435 |
+
WELL_0000433,444980.03,PDP
|
| 436 |
+
WELL_0000434,1049492.32,PDP
|
| 437 |
+
WELL_0000435,436412.65,Possible
|
| 438 |
+
WELL_0000436,1564113.6,PDP
|
| 439 |
+
WELL_0000437,2296804.45,Possible
|
| 440 |
+
WELL_0000438,1665624.01,Possible
|
| 441 |
+
WELL_0000439,356908.09,Possible
|
| 442 |
+
WELL_0000440,1198708.79,PUD
|
| 443 |
+
WELL_0000441,2035137.66,Possible
|
| 444 |
+
WELL_0000442,1270061.97,PUD
|
| 445 |
+
WELL_0000443,1269990.3,PDP
|
| 446 |
+
WELL_0000444,400510.14,Probable
|
| 447 |
+
WELL_0000445,1218945.25,Probable
|
| 448 |
+
WELL_0000446,646618.07,Possible
|
| 449 |
+
WELL_0000447,939472.07,PDP
|
| 450 |
+
WELL_0000448,1747829.46,PDP
|
| 451 |
+
WELL_0000449,544162.59,Probable
|
| 452 |
+
WELL_0000450,1472672.44,PUD
|
| 453 |
+
WELL_0000451,1191318.09,PDP
|
| 454 |
+
WELL_0000452,1218108.89,Possible
|
| 455 |
+
WELL_0000453,1174337.44,Probable
|
| 456 |
+
WELL_0000454,511285.58,PDP
|
| 457 |
+
WELL_0000455,371700.99,PUD
|
| 458 |
+
WELL_0000456,295962.69,Possible
|
| 459 |
+
WELL_0000457,516589.69,PDP
|
| 460 |
+
WELL_0000458,370799.36,PDP
|
| 461 |
+
WELL_0000459,622486.97,PUD
|
| 462 |
+
WELL_0000460,2018881.1,Probable
|
| 463 |
+
WELL_0000461,1803792.09,PUD
|
| 464 |
+
WELL_0000462,1654414.03,Probable
|
| 465 |
+
WELL_0000463,1986725.69,Possible
|
| 466 |
+
WELL_0000464,1119852.04,Probable
|
| 467 |
+
WELL_0000465,560753.61,Possible
|
| 468 |
+
WELL_0000466,1387928.51,Probable
|
| 469 |
+
WELL_0000467,2449869.83,Probable
|
| 470 |
+
WELL_0000468,1091780.41,PDP
|
| 471 |
+
WELL_0000469,1886857.52,PDP
|
| 472 |
+
WELL_0000470,341118.06,PUD
|
| 473 |
+
WELL_0000471,331688.19,PDP
|
| 474 |
+
WELL_0000472,496279.74,Probable
|
| 475 |
+
WELL_0000473,1846946.9,PUD
|
| 476 |
+
WELL_0000474,1267562.72,PDP
|
| 477 |
+
WELL_0000475,447656.3,PUD
|
| 478 |
+
WELL_0000476,1419523.47,Possible
|
| 479 |
+
WELL_0000477,1545007.28,PUD
|
| 480 |
+
WELL_0000478,2042169.64,Probable
|
| 481 |
+
WELL_0000479,632047.06,Possible
|
| 482 |
+
WELL_0000480,371228.57,PDP
|
| 483 |
+
WELL_0000481,1253735.14,PUD
|
| 484 |
+
WELL_0000482,1266983.46,PDP
|
| 485 |
+
WELL_0000483,1182558.0,Probable
|
| 486 |
+
WELL_0000484,2363148.25,PDP
|
| 487 |
+
WELL_0000485,408123.11,PDP
|
| 488 |
+
WELL_0000486,1658916.89,Probable
|
| 489 |
+
WELL_0000487,1061391.99,PDP
|
| 490 |
+
WELL_0000488,360779.94,Probable
|
| 491 |
+
WELL_0000489,496042.49,Possible
|
| 492 |
+
WELL_0000490,1224054.67,Possible
|
| 493 |
+
WELL_0000491,1679137.1,PDP
|
| 494 |
+
WELL_0000492,1426474.91,PUD
|
| 495 |
+
WELL_0000493,341810.73,Possible
|
| 496 |
+
WELL_0000494,1527213.48,Possible
|
| 497 |
+
WELL_0000495,483243.5,Probable
|
| 498 |
+
WELL_0000496,402927.1,PUD
|
| 499 |
+
WELL_0000497,1312514.4,PUD
|
| 500 |
+
WELL_0000498,1723909.58,PUD
|
| 501 |
+
WELL_0000499,347877.68,PUD
|
pressure_depletion.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
production_interruptions.csv
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
well_id,event_type,downtime_days
|
| 2 |
+
WELL_0000011,Compressor Failure,46
|
| 3 |
+
WELL_0000012,Workover,11
|
| 4 |
+
WELL_0000016,Shut-In,43
|
| 5 |
+
WELL_0000020,Shut-In,45
|
| 6 |
+
WELL_0000028,Compressor Failure,30
|
| 7 |
+
WELL_0000036,Shut-In,83
|
| 8 |
+
WELL_0000039,Shut-In,62
|
| 9 |
+
WELL_0000041,Shut-In,61
|
| 10 |
+
WELL_0000044,Workover,87
|
| 11 |
+
WELL_0000046,Workover,23
|
| 12 |
+
WELL_0000053,Compressor Failure,17
|
| 13 |
+
WELL_0000055,Shut-In,84
|
| 14 |
+
WELL_0000056,Compressor Failure,35
|
| 15 |
+
WELL_0000063,Compressor Failure,52
|
| 16 |
+
WELL_0000066,Shut-In,62
|
| 17 |
+
WELL_0000070,Compressor Failure,65
|
| 18 |
+
WELL_0000072,Shut-In,24
|
| 19 |
+
WELL_0000074,Compressor Failure,81
|
| 20 |
+
WELL_0000094,Workover,28
|
| 21 |
+
WELL_0000100,Workover,61
|
| 22 |
+
WELL_0000102,Shut-In,62
|
| 23 |
+
WELL_0000103,Compressor Failure,55
|
| 24 |
+
WELL_0000108,Workover,61
|
| 25 |
+
WELL_0000114,Workover,78
|
| 26 |
+
WELL_0000116,Compressor Failure,55
|
| 27 |
+
WELL_0000118,Compressor Failure,71
|
| 28 |
+
WELL_0000128,Workover,74
|
| 29 |
+
WELL_0000142,Compressor Failure,81
|
| 30 |
+
WELL_0000146,Workover,62
|
| 31 |
+
WELL_0000150,Shut-In,22
|
| 32 |
+
WELL_0000177,Workover,33
|
| 33 |
+
WELL_0000179,Workover,25
|
| 34 |
+
WELL_0000184,Shut-In,9
|
| 35 |
+
WELL_0000186,Workover,82
|
| 36 |
+
WELL_0000189,Workover,64
|
| 37 |
+
WELL_0000190,Compressor Failure,87
|
| 38 |
+
WELL_0000191,Compressor Failure,42
|
| 39 |
+
WELL_0000206,Compressor Failure,71
|
| 40 |
+
WELL_0000209,Compressor Failure,44
|
| 41 |
+
WELL_0000212,Compressor Failure,9
|
| 42 |
+
WELL_0000216,Shut-In,5
|
| 43 |
+
WELL_0000219,Shut-In,19
|
| 44 |
+
WELL_0000233,Compressor Failure,12
|
| 45 |
+
WELL_0000248,Workover,79
|
| 46 |
+
WELL_0000252,Workover,67
|
| 47 |
+
WELL_0000257,Workover,90
|
| 48 |
+
WELL_0000258,Workover,75
|
| 49 |
+
WELL_0000271,Shut-In,40
|
| 50 |
+
WELL_0000283,Compressor Failure,45
|
| 51 |
+
WELL_0000287,Compressor Failure,54
|
| 52 |
+
WELL_0000289,Compressor Failure,26
|
| 53 |
+
WELL_0000290,Shut-In,60
|
| 54 |
+
WELL_0000293,Shut-In,55
|
| 55 |
+
WELL_0000299,Workover,30
|
| 56 |
+
WELL_0000302,Compressor Failure,68
|
| 57 |
+
WELL_0000310,Workover,87
|
| 58 |
+
WELL_0000314,Compressor Failure,15
|
| 59 |
+
WELL_0000319,Shut-In,36
|
| 60 |
+
WELL_0000326,Workover,67
|
| 61 |
+
WELL_0000328,Workover,43
|
| 62 |
+
WELL_0000334,Compressor Failure,6
|
| 63 |
+
WELL_0000337,Shut-In,33
|
| 64 |
+
WELL_0000340,Shut-In,39
|
| 65 |
+
WELL_0000349,Workover,42
|
| 66 |
+
WELL_0000352,Shut-In,46
|
| 67 |
+
WELL_0000365,Shut-In,61
|
| 68 |
+
WELL_0000368,Workover,88
|
| 69 |
+
WELL_0000370,Compressor Failure,14
|
| 70 |
+
WELL_0000385,Compressor Failure,86
|
| 71 |
+
WELL_0000387,Workover,58
|
| 72 |
+
WELL_0000388,Compressor Failure,14
|
| 73 |
+
WELL_0000389,Shut-In,10
|
| 74 |
+
WELL_0000394,Compressor Failure,55
|
| 75 |
+
WELL_0000395,Shut-In,60
|
| 76 |
+
WELL_0000398,Compressor Failure,71
|
| 77 |
+
WELL_0000400,Compressor Failure,39
|
| 78 |
+
WELL_0000402,Shut-In,78
|
| 79 |
+
WELL_0000408,Compressor Failure,41
|
| 80 |
+
WELL_0000415,Workover,53
|
| 81 |
+
WELL_0000417,Compressor Failure,16
|
| 82 |
+
WELL_0000425,Compressor Failure,64
|
| 83 |
+
WELL_0000427,Workover,43
|
| 84 |
+
WELL_0000428,Shut-In,50
|
| 85 |
+
WELL_0000430,Compressor Failure,62
|
| 86 |
+
WELL_0000431,Shut-In,33
|
| 87 |
+
WELL_0000435,Compressor Failure,20
|
| 88 |
+
WELL_0000436,Workover,60
|
| 89 |
+
WELL_0000439,Workover,83
|
| 90 |
+
WELL_0000441,Shut-In,87
|
| 91 |
+
WELL_0000456,Shut-In,16
|
| 92 |
+
WELL_0000465,Workover,83
|
| 93 |
+
WELL_0000469,Workover,14
|
| 94 |
+
WELL_0000474,Compressor Failure,58
|
| 95 |
+
WELL_0000484,Shut-In,59
|
| 96 |
+
WELL_0000485,Shut-In,26
|
| 97 |
+
WELL_0000490,Workover,90
|
production_timeseries.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
wells_master.csv
ADDED
|
@@ -0,0 +1,501 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
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|
| 1 |
+
well_id,basin_name,formation_name,completion_date,lateral_length_ft,decline_model,qi_bpd,di,b_factor
|
| 2 |
+
WELL_0000000,North Sea,Brent,2010-07-24,10327,hyperbolic,1039.41,0.7662,1.2795
|
| 3 |
+
WELL_0000001,North Sea,Brent,2015-06-30,10395,exponential,907.85,0.7566,0.0
|
| 4 |
+
WELL_0000002,Eagle Ford,Eagle Ford,2012-04-19,7943,hyperbolic,1088.14,0.7331,1.2585
|
| 5 |
+
WELL_0000003,North Sea,Brent,2022-03-26,6204,harmonic,866.17,0.8042,1.0
|
| 6 |
+
WELL_0000004,Permian,Wolfcamp,2019-06-19,7284,harmonic,639.51,0.7238,1.0
|
| 7 |
+
WELL_0000005,Permian,Wolfcamp,2012-02-07,10258,hyperbolic,1006.56,0.6892,0.8675
|
| 8 |
+
WELL_0000006,Eagle Ford,Eagle Ford,2021-05-02,7846,hyperbolic,909.36,0.7868,0.8651
|
| 9 |
+
WELL_0000007,Haynesville,Haynesville,2022-08-03,7779,hyperbolic,969.97,0.6649,1.2251
|
| 10 |
+
WELL_0000008,Eagle Ford,Eagle Ford,2022-03-23,10722,harmonic,897.5,0.7198,1.0
|
| 11 |
+
WELL_0000009,Marcellus,Marcellus,2020-01-28,7034,hyperbolic,947.57,0.6742,1.3145
|
| 12 |
+
WELL_0000010,Haynesville,Haynesville,2010-02-23,6906,exponential,987.6,0.584,0.0
|
| 13 |
+
WELL_0000011,Eagle Ford,Eagle Ford,2019-06-25,8705,harmonic,985.44,0.8538,1.0
|
| 14 |
+
WELL_0000012,Bakken,Three Forks,2013-06-27,6725,exponential,929.18,0.7499,0.0
|
| 15 |
+
WELL_0000013,Eagle Ford,Eagle Ford,2012-04-17,9768,exponential,820.43,0.7339,0.0
|
| 16 |
+
WELL_0000014,Permian,Wolfcamp,2012-03-03,8888,exponential,1011.85,0.6037,0.0
|
| 17 |
+
WELL_0000015,Bakken,Three Forks,2023-07-17,9234,exponential,880.69,0.7123,0.0
|
| 18 |
+
WELL_0000016,Bakken,Three Forks,2020-04-21,8128,hyperbolic,1135.58,0.8731,0.9822
|
| 19 |
+
WELL_0000017,Haynesville,Haynesville,2018-06-28,8277,hyperbolic,1009.63,0.8776,1.0542
|
| 20 |
+
WELL_0000018,Permian,Wolfcamp,2016-07-29,9475,harmonic,750.86,0.6604,1.0
|
| 21 |
+
WELL_0000019,North Sea,Brent,2018-02-10,9704,harmonic,1194.12,0.7728,1.0
|
| 22 |
+
WELL_0000020,Haynesville,Haynesville,2011-07-24,10345,hyperbolic,1015.09,0.7155,1.2223
|
| 23 |
+
WELL_0000021,Permian,Wolfcamp,2015-02-10,5356,harmonic,943.55,0.9365,1.0
|
| 24 |
+
WELL_0000022,Bakken,Three Forks,2015-03-23,8610,hyperbolic,1097.94,0.7887,1.0902
|
| 25 |
+
WELL_0000023,Permian,Wolfcamp,2016-03-27,8928,exponential,592.24,0.758,0.0
|
| 26 |
+
WELL_0000024,Marcellus,Marcellus,2018-03-08,7529,harmonic,1216.02,0.7282,1.0
|
| 27 |
+
WELL_0000025,Eagle Ford,Eagle Ford,2017-12-20,8894,exponential,859.68,0.8715,0.0
|
| 28 |
+
WELL_0000026,Eagle Ford,Eagle Ford,2015-12-28,8616,harmonic,854.64,0.8313,1.0
|
| 29 |
+
WELL_0000027,North Sea,Brent,2011-08-08,8106,harmonic,1124.36,0.7098,1.0
|
| 30 |
+
WELL_0000028,Haynesville,Haynesville,2013-11-02,8855,harmonic,879.42,0.6336,1.0
|
| 31 |
+
WELL_0000029,Haynesville,Haynesville,2015-06-29,8218,harmonic,996.99,0.7805,1.0
|
| 32 |
+
WELL_0000030,Eagle Ford,Eagle Ford,2018-07-06,8088,exponential,695.23,0.7379,0.0
|
| 33 |
+
WELL_0000031,Bakken,Three Forks,2022-06-29,8984,harmonic,805.59,0.7639,1.0
|
| 34 |
+
WELL_0000032,Eagle Ford,Eagle Ford,2017-04-10,8809,harmonic,1289.51,0.7975,1.0
|
| 35 |
+
WELL_0000033,Permian,Wolfcamp,2010-09-20,8572,hyperbolic,936.6,0.5881,1.1447
|
| 36 |
+
WELL_0000034,Bakken,Three Forks,2016-01-03,8861,exponential,1393.38,0.7608,0.0
|
| 37 |
+
WELL_0000035,Permian,Wolfcamp,2022-09-21,9402,hyperbolic,943.75,0.6631,1.3786
|
| 38 |
+
WELL_0000036,North Sea,Brent,2014-10-08,10183,exponential,1092.39,0.6891,0.0
|
| 39 |
+
WELL_0000037,North Sea,Brent,2018-11-16,11128,exponential,697.67,0.8387,0.0
|
| 40 |
+
WELL_0000038,North Sea,Brent,2013-03-16,8619,exponential,771.7,0.7234,0.0
|
| 41 |
+
WELL_0000039,Bakken,Three Forks,2015-07-14,7225,hyperbolic,859.37,0.6249,1.1637
|
| 42 |
+
WELL_0000040,North Sea,Brent,2022-02-02,10359,harmonic,1035.25,0.6881,1.0
|
| 43 |
+
WELL_0000041,Bakken,Three Forks,2023-02-10,9476,harmonic,809.01,0.7478,1.0
|
| 44 |
+
WELL_0000042,Marcellus,Marcellus,2018-12-16,10068,harmonic,728.44,0.8027,1.0
|
| 45 |
+
WELL_0000043,Bakken,Three Forks,2013-02-07,9438,hyperbolic,660.65,0.7985,1.202
|
| 46 |
+
WELL_0000044,Haynesville,Haynesville,2012-01-15,9126,exponential,727.35,0.648,0.0
|
| 47 |
+
WELL_0000045,Permian,Wolfcamp,2013-06-06,7683,hyperbolic,1003.46,0.805,1.2193
|
| 48 |
+
WELL_0000046,North Sea,Brent,2019-06-21,10738,hyperbolic,991.81,0.8093,1.0071
|
| 49 |
+
WELL_0000047,Haynesville,Haynesville,2018-08-19,7330,hyperbolic,1035.29,0.6609,1.2813
|
| 50 |
+
WELL_0000048,Marcellus,Marcellus,2020-07-01,7515,harmonic,1091.68,0.8959,1.0
|
| 51 |
+
WELL_0000049,Haynesville,Haynesville,2022-05-30,9486,exponential,1123.41,0.8213,0.0
|
| 52 |
+
WELL_0000050,Permian,Wolfcamp,2012-07-27,7595,harmonic,1291.42,0.7555,1.0
|
| 53 |
+
WELL_0000051,North Sea,Brent,2015-12-26,8407,harmonic,789.89,0.6984,1.0
|
| 54 |
+
WELL_0000052,North Sea,Brent,2012-07-02,9492,exponential,1011.41,0.8077,0.0
|
| 55 |
+
WELL_0000053,Bakken,Three Forks,2013-07-19,8182,exponential,952.34,0.9254,0.0
|
| 56 |
+
WELL_0000054,Marcellus,Marcellus,2015-11-28,7214,hyperbolic,1439.63,0.8426,0.9786
|
| 57 |
+
WELL_0000055,Haynesville,Haynesville,2021-05-21,9067,hyperbolic,1036.85,0.7577,1.2928
|
| 58 |
+
WELL_0000056,Permian,Wolfcamp,2016-09-10,6682,harmonic,936.89,0.6953,1.0
|
| 59 |
+
WELL_0000057,North Sea,Brent,2023-08-29,8756,harmonic,869.63,0.8656,1.0
|
| 60 |
+
WELL_0000058,Eagle Ford,Eagle Ford,2018-05-22,7439,hyperbolic,725.77,0.7973,1.2271
|
| 61 |
+
WELL_0000059,Eagle Ford,Eagle Ford,2021-11-23,7128,harmonic,977.67,0.7858,1.0
|
| 62 |
+
WELL_0000060,Permian,Wolfcamp,2017-04-09,9799,harmonic,1014.4,0.8361,1.0
|
| 63 |
+
WELL_0000061,Marcellus,Marcellus,2012-07-05,9118,hyperbolic,1139.68,0.6422,0.9624
|
| 64 |
+
WELL_0000062,Bakken,Three Forks,2015-05-16,13123,exponential,1042.48,0.8315,0.0
|
| 65 |
+
WELL_0000063,Permian,Wolfcamp,2022-09-22,9281,hyperbolic,1052.76,0.8936,1.3408
|
| 66 |
+
WELL_0000064,Permian,Wolfcamp,2020-11-25,8215,hyperbolic,893.25,0.8559,0.9954
|
| 67 |
+
WELL_0000065,Permian,Wolfcamp,2012-10-27,11277,harmonic,862.63,0.7882,1.0
|
| 68 |
+
WELL_0000066,Eagle Ford,Eagle Ford,2020-08-29,6564,harmonic,613.89,0.8486,1.0
|
| 69 |
+
WELL_0000067,Haynesville,Haynesville,2015-12-12,7206,hyperbolic,865.05,0.8889,1.1629
|
| 70 |
+
WELL_0000068,Haynesville,Haynesville,2019-06-29,7623,harmonic,821.25,0.848,1.0
|
| 71 |
+
WELL_0000069,Eagle Ford,Eagle Ford,2014-07-06,7718,harmonic,988.96,0.7846,1.0
|
| 72 |
+
WELL_0000070,North Sea,Brent,2018-12-13,6069,exponential,1335.91,0.8434,0.0
|
| 73 |
+
WELL_0000071,North Sea,Brent,2018-05-18,9522,harmonic,983.56,0.7138,1.0
|
| 74 |
+
WELL_0000072,Marcellus,Marcellus,2020-02-16,9105,harmonic,807.35,0.7685,1.0
|
| 75 |
+
WELL_0000073,Permian,Wolfcamp,2015-01-15,7930,hyperbolic,1105.84,0.66,1.0831
|
| 76 |
+
WELL_0000074,Permian,Wolfcamp,2010-06-22,8985,exponential,832.4,0.9565,0.0
|
| 77 |
+
WELL_0000075,Haynesville,Haynesville,2015-03-01,11046,harmonic,723.04,0.8718,1.0
|
| 78 |
+
WELL_0000076,Haynesville,Haynesville,2010-02-28,10020,hyperbolic,1135.84,0.6281,1.0532
|
| 79 |
+
WELL_0000077,Permian,Wolfcamp,2011-04-28,9429,harmonic,822.62,0.8244,1.0
|
| 80 |
+
WELL_0000078,Eagle Ford,Eagle Ford,2010-09-15,7270,hyperbolic,783.15,0.774,0.5017
|
| 81 |
+
WELL_0000079,Bakken,Three Forks,2021-07-13,6783,hyperbolic,904.54,0.6552,1.4765
|
| 82 |
+
WELL_0000080,Eagle Ford,Eagle Ford,2020-11-20,10229,exponential,870.79,0.7931,0.0
|
| 83 |
+
WELL_0000081,Eagle Ford,Eagle Ford,2012-12-19,8512,harmonic,691.54,0.8963,1.0
|
| 84 |
+
WELL_0000082,North Sea,Brent,2022-12-04,8738,harmonic,773.33,0.8262,1.0
|
| 85 |
+
WELL_0000083,Marcellus,Marcellus,2020-08-10,8636,hyperbolic,841.96,0.787,1.0729
|
| 86 |
+
WELL_0000084,Marcellus,Marcellus,2012-02-12,11059,hyperbolic,1069.18,0.9386,0.9024
|
| 87 |
+
WELL_0000085,Permian,Wolfcamp,2019-09-02,9205,harmonic,598.62,0.7648,1.0
|
| 88 |
+
WELL_0000086,Bakken,Three Forks,2019-03-22,8250,exponential,1000.58,0.7177,0.0
|
| 89 |
+
WELL_0000087,Marcellus,Marcellus,2011-03-20,9519,harmonic,861.26,0.7211,1.0
|
| 90 |
+
WELL_0000088,North Sea,Brent,2012-03-17,9579,harmonic,1014.26,0.7107,1.0
|
| 91 |
+
WELL_0000089,Permian,Wolfcamp,2017-08-11,9255,exponential,1005.31,0.8613,0.0
|
| 92 |
+
WELL_0000090,Permian,Wolfcamp,2014-04-19,9232,hyperbolic,800.78,0.724,1.2995
|
| 93 |
+
WELL_0000091,Eagle Ford,Eagle Ford,2020-01-24,10033,harmonic,946.24,0.7917,1.0
|
| 94 |
+
WELL_0000092,Eagle Ford,Eagle Ford,2014-02-12,8257,exponential,843.52,0.8347,0.0
|
| 95 |
+
WELL_0000093,Bakken,Three Forks,2015-08-09,9490,exponential,910.82,0.8899,0.0
|
| 96 |
+
WELL_0000094,Permian,Wolfcamp,2022-05-06,8525,exponential,1096.43,0.9105,0.0
|
| 97 |
+
WELL_0000095,Permian,Wolfcamp,2022-02-15,8343,hyperbolic,1072.75,0.749,1.2148
|
| 98 |
+
WELL_0000096,Permian,Wolfcamp,2015-04-21,11010,hyperbolic,967.46,0.8395,0.9864
|
| 99 |
+
WELL_0000097,Eagle Ford,Eagle Ford,2020-11-22,9889,exponential,768.92,0.6586,0.0
|
| 100 |
+
WELL_0000098,Marcellus,Marcellus,2018-12-30,8485,hyperbolic,1092.5,0.8424,1.2757
|
| 101 |
+
WELL_0000099,Permian,Wolfcamp,2018-07-02,9670,hyperbolic,788.49,0.7876,1.0146
|
| 102 |
+
WELL_0000100,Permian,Wolfcamp,2015-12-13,8114,exponential,923.53,0.6975,0.0
|
| 103 |
+
WELL_0000101,Marcellus,Marcellus,2019-06-28,7513,exponential,1024.33,0.7236,0.0
|
| 104 |
+
WELL_0000102,North Sea,Brent,2022-06-19,7891,harmonic,993.86,0.8045,1.0
|
| 105 |
+
WELL_0000103,North Sea,Brent,2020-11-30,6762,harmonic,865.21,0.8032,1.0
|
| 106 |
+
WELL_0000104,Eagle Ford,Eagle Ford,2016-08-27,8873,hyperbolic,696.66,0.7082,1.1073
|
| 107 |
+
WELL_0000105,Eagle Ford,Eagle Ford,2022-12-28,8477,hyperbolic,1215.56,0.8658,1.118
|
| 108 |
+
WELL_0000106,North Sea,Brent,2011-05-15,8153,harmonic,769.54,0.7781,1.0
|
| 109 |
+
WELL_0000107,North Sea,Brent,2011-04-14,9123,exponential,1008.09,0.6973,0.0
|
| 110 |
+
WELL_0000108,Permian,Wolfcamp,2020-09-10,8982,harmonic,1225.89,0.7691,1.0
|
| 111 |
+
WELL_0000109,Haynesville,Haynesville,2013-07-13,8768,harmonic,1074.23,0.7399,1.0
|
| 112 |
+
WELL_0000110,Permian,Wolfcamp,2011-10-19,7572,harmonic,952.27,0.7898,1.0
|
| 113 |
+
WELL_0000111,Eagle Ford,Eagle Ford,2023-05-07,9651,hyperbolic,954.41,0.8298,1.4402
|
| 114 |
+
WELL_0000112,Permian,Wolfcamp,2015-04-11,9546,harmonic,1337.57,0.7033,1.0
|
| 115 |
+
WELL_0000113,Marcellus,Marcellus,2022-10-11,7492,hyperbolic,983.0,0.999,0.9883
|
| 116 |
+
WELL_0000114,Eagle Ford,Eagle Ford,2023-05-03,7869,harmonic,842.11,0.5676,1.0
|
| 117 |
+
WELL_0000115,Permian,Wolfcamp,2011-11-03,8910,harmonic,813.36,0.795,1.0
|
| 118 |
+
WELL_0000116,Marcellus,Marcellus,2023-02-03,7807,harmonic,1287.71,0.875,1.0
|
| 119 |
+
WELL_0000117,Haynesville,Haynesville,2017-02-04,6915,harmonic,788.29,0.8292,1.0
|
| 120 |
+
WELL_0000118,Bakken,Three Forks,2017-01-17,6444,hyperbolic,1279.66,0.8979,1.0562
|
| 121 |
+
WELL_0000119,Eagle Ford,Eagle Ford,2018-11-17,9985,exponential,1193.7,0.7685,0.0
|
| 122 |
+
WELL_0000120,Eagle Ford,Eagle Ford,2016-09-23,8506,harmonic,663.0,0.7201,1.0
|
| 123 |
+
WELL_0000121,Marcellus,Marcellus,2011-08-18,9247,exponential,958.46,0.735,0.0
|
| 124 |
+
WELL_0000122,Permian,Wolfcamp,2022-08-18,8644,exponential,757.83,0.7658,0.0
|
| 125 |
+
WELL_0000123,Permian,Wolfcamp,2022-01-22,6659,hyperbolic,1042.6,0.8512,0.9251
|
| 126 |
+
WELL_0000124,Eagle Ford,Eagle Ford,2015-12-13,7601,harmonic,1179.98,0.8132,1.0
|
| 127 |
+
WELL_0000125,Eagle Ford,Eagle Ford,2011-07-18,9915,exponential,1229.21,0.7916,0.0
|
| 128 |
+
WELL_0000126,Eagle Ford,Eagle Ford,2016-05-23,10606,exponential,962.15,0.9861,0.0
|
| 129 |
+
WELL_0000127,Eagle Ford,Eagle Ford,2022-03-09,9274,exponential,905.19,0.8772,0.0
|
| 130 |
+
WELL_0000128,North Sea,Brent,2021-11-12,9323,exponential,1196.35,0.6835,0.0
|
| 131 |
+
WELL_0000129,Permian,Wolfcamp,2022-06-10,7080,harmonic,1140.52,0.6041,1.0
|
| 132 |
+
WELL_0000130,Bakken,Three Forks,2012-04-28,9361,harmonic,582.94,0.7531,1.0
|
| 133 |
+
WELL_0000131,Eagle Ford,Eagle Ford,2012-08-03,10454,exponential,1220.42,0.7874,0.0
|
| 134 |
+
WELL_0000132,Permian,Wolfcamp,2022-05-30,8433,harmonic,701.58,0.6097,1.0
|
| 135 |
+
WELL_0000133,Eagle Ford,Eagle Ford,2016-04-27,6019,exponential,1019.13,0.7767,0.0
|
| 136 |
+
WELL_0000134,Haynesville,Haynesville,2017-09-09,8939,hyperbolic,933.96,0.6496,1.2839
|
| 137 |
+
WELL_0000135,Eagle Ford,Eagle Ford,2015-12-03,7228,harmonic,780.82,0.7286,1.0
|
| 138 |
+
WELL_0000136,Haynesville,Haynesville,2015-08-20,7317,exponential,938.72,0.8755,0.0
|
| 139 |
+
WELL_0000137,Permian,Wolfcamp,2019-07-02,8371,hyperbolic,1040.73,0.727,0.9914
|
| 140 |
+
WELL_0000138,Bakken,Three Forks,2010-01-30,10857,hyperbolic,763.66,0.7246,0.9104
|
| 141 |
+
WELL_0000139,Bakken,Three Forks,2015-11-16,8365,hyperbolic,956.35,0.71,1.1928
|
| 142 |
+
WELL_0000140,Eagle Ford,Eagle Ford,2019-11-29,9409,harmonic,910.23,0.8414,1.0
|
| 143 |
+
WELL_0000141,Haynesville,Haynesville,2019-08-05,8169,harmonic,854.51,0.7224,1.0
|
| 144 |
+
WELL_0000142,Haynesville,Haynesville,2012-07-05,10473,hyperbolic,535.65,0.6285,1.4234
|
| 145 |
+
WELL_0000143,Permian,Wolfcamp,2013-05-06,8873,harmonic,905.17,0.8377,1.0
|
| 146 |
+
WELL_0000144,Haynesville,Haynesville,2018-04-13,7353,hyperbolic,1504.2,0.892,1.1244
|
| 147 |
+
WELL_0000145,Haynesville,Haynesville,2013-04-28,7592,harmonic,660.84,0.8003,1.0
|
| 148 |
+
WELL_0000146,Marcellus,Marcellus,2010-12-09,10524,hyperbolic,693.99,0.7153,0.9337
|
| 149 |
+
WELL_0000147,Bakken,Three Forks,2010-11-23,10275,exponential,1108.7,0.7792,0.0
|
| 150 |
+
WELL_0000148,Bakken,Three Forks,2015-08-07,9146,hyperbolic,963.93,0.6939,1.4546
|
| 151 |
+
WELL_0000149,North Sea,Brent,2017-12-07,6840,hyperbolic,763.3,0.761,0.9749
|
| 152 |
+
WELL_0000150,Haynesville,Haynesville,2013-06-20,6821,exponential,1116.71,0.9709,0.0
|
| 153 |
+
WELL_0000151,Eagle Ford,Eagle Ford,2013-12-21,7789,hyperbolic,1051.33,0.7149,1.0526
|
| 154 |
+
WELL_0000152,Marcellus,Marcellus,2014-01-09,8824,hyperbolic,794.48,0.7849,0.9838
|
| 155 |
+
WELL_0000153,North Sea,Brent,2019-03-27,7410,exponential,940.96,0.7561,0.0
|
| 156 |
+
WELL_0000154,North Sea,Brent,2015-07-26,9101,harmonic,846.18,0.8555,1.0
|
| 157 |
+
WELL_0000155,Bakken,Three Forks,2012-06-04,6496,hyperbolic,774.04,0.7899,1.3003
|
| 158 |
+
WELL_0000156,Marcellus,Marcellus,2020-07-22,7584,hyperbolic,1047.8,0.7137,1.2641
|
| 159 |
+
WELL_0000157,Eagle Ford,Eagle Ford,2020-04-28,8811,hyperbolic,625.12,0.6172,1.1596
|
| 160 |
+
WELL_0000158,Bakken,Three Forks,2015-02-08,6506,exponential,787.22,0.8439,0.0
|
| 161 |
+
WELL_0000159,Eagle Ford,Eagle Ford,2014-05-02,8556,hyperbolic,938.11,0.6589,1.0196
|
| 162 |
+
WELL_0000160,Marcellus,Marcellus,2016-04-01,9707,exponential,795.13,0.7415,0.0
|
| 163 |
+
WELL_0000161,Permian,Wolfcamp,2017-11-16,7144,exponential,846.16,0.8636,0.0
|
| 164 |
+
WELL_0000162,North Sea,Brent,2018-12-19,5534,harmonic,1045.36,0.9242,1.0
|
| 165 |
+
WELL_0000163,North Sea,Brent,2017-06-05,8256,harmonic,806.56,0.8377,1.0
|
| 166 |
+
WELL_0000164,Permian,Wolfcamp,2015-11-10,8313,hyperbolic,1016.81,0.7196,1.1673
|
| 167 |
+
WELL_0000165,Eagle Ford,Eagle Ford,2015-12-15,8905,harmonic,1160.2,0.8054,1.0
|
| 168 |
+
WELL_0000166,Permian,Wolfcamp,2023-05-20,8973,hyperbolic,875.86,0.7312,1.0635
|
| 169 |
+
WELL_0000167,Marcellus,Marcellus,2017-01-13,10990,exponential,874.22,0.809,0.0
|
| 170 |
+
WELL_0000168,Marcellus,Marcellus,2021-06-21,9941,harmonic,1106.8,0.7474,1.0
|
| 171 |
+
WELL_0000169,Permian,Wolfcamp,2022-12-07,7290,exponential,876.55,0.5762,0.0
|
| 172 |
+
WELL_0000170,Eagle Ford,Eagle Ford,2010-12-30,8522,exponential,613.26,0.7448,0.0
|
| 173 |
+
WELL_0000171,North Sea,Brent,2010-01-14,8237,exponential,1251.76,0.8127,0.0
|
| 174 |
+
WELL_0000172,Haynesville,Haynesville,2014-06-03,8782,harmonic,1099.29,0.5589,1.0
|
| 175 |
+
WELL_0000173,Bakken,Three Forks,2011-07-28,9872,exponential,1088.76,0.6321,0.0
|
| 176 |
+
WELL_0000174,North Sea,Brent,2017-01-15,9259,exponential,1010.93,0.7385,0.0
|
| 177 |
+
WELL_0000175,North Sea,Brent,2016-09-26,7948,hyperbolic,1358.72,0.7982,1.1996
|
| 178 |
+
WELL_0000176,Haynesville,Haynesville,2019-02-28,7472,exponential,797.03,0.863,0.0
|
| 179 |
+
WELL_0000177,Bakken,Three Forks,2016-08-19,9074,exponential,962.88,0.7322,0.0
|
| 180 |
+
WELL_0000178,Haynesville,Haynesville,2014-04-21,8176,hyperbolic,1010.06,0.8838,1.048
|
| 181 |
+
WELL_0000179,Marcellus,Marcellus,2018-07-03,8952,harmonic,773.82,0.7356,1.0
|
| 182 |
+
WELL_0000180,North Sea,Brent,2013-11-26,9543,harmonic,1086.26,0.6878,1.0
|
| 183 |
+
WELL_0000181,Haynesville,Haynesville,2016-10-01,10752,harmonic,1194.01,0.8213,1.0
|
| 184 |
+
WELL_0000182,Marcellus,Marcellus,2010-01-04,6365,harmonic,810.72,0.6555,1.0
|
| 185 |
+
WELL_0000183,Bakken,Three Forks,2014-09-18,8433,exponential,1219.29,0.8454,0.0
|
| 186 |
+
WELL_0000184,Marcellus,Marcellus,2023-08-10,11434,harmonic,1000.39,0.6675,1.0
|
| 187 |
+
WELL_0000185,North Sea,Brent,2020-06-06,9370,exponential,973.26,0.7909,0.0
|
| 188 |
+
WELL_0000186,Marcellus,Marcellus,2014-10-17,7551,exponential,1036.58,0.8024,0.0
|
| 189 |
+
WELL_0000187,Haynesville,Haynesville,2013-10-22,10114,exponential,1034.86,0.9682,0.0
|
| 190 |
+
WELL_0000188,North Sea,Brent,2016-05-13,8349,hyperbolic,1236.77,0.7289,0.9521
|
| 191 |
+
WELL_0000189,Haynesville,Haynesville,2017-07-08,6469,harmonic,960.03,0.8894,1.0
|
| 192 |
+
WELL_0000190,Permian,Wolfcamp,2016-12-17,7285,hyperbolic,1225.32,0.7642,1.0646
|
| 193 |
+
WELL_0000191,Eagle Ford,Eagle Ford,2013-04-22,6952,hyperbolic,652.13,0.8623,1.1647
|
| 194 |
+
WELL_0000192,Permian,Wolfcamp,2015-06-29,8188,hyperbolic,716.89,0.7464,1.4838
|
| 195 |
+
WELL_0000193,Marcellus,Marcellus,2011-08-20,8172,harmonic,679.43,0.7554,1.0
|
| 196 |
+
WELL_0000194,Marcellus,Marcellus,2022-11-29,8222,exponential,464.56,0.7746,0.0
|
| 197 |
+
WELL_0000195,Eagle Ford,Eagle Ford,2018-08-12,9851,harmonic,1075.32,0.9649,1.0
|
| 198 |
+
WELL_0000196,Marcellus,Marcellus,2015-06-22,11588,exponential,901.6,0.6693,0.0
|
| 199 |
+
WELL_0000197,Eagle Ford,Eagle Ford,2010-02-15,8471,harmonic,960.66,0.7814,1.0
|
| 200 |
+
WELL_0000198,Permian,Wolfcamp,2014-11-28,7811,exponential,985.66,0.7656,0.0
|
| 201 |
+
WELL_0000199,Eagle Ford,Eagle Ford,2021-08-14,7847,harmonic,851.57,0.7767,1.0
|
| 202 |
+
WELL_0000200,Marcellus,Marcellus,2022-07-03,10304,hyperbolic,821.69,0.7906,1.099
|
| 203 |
+
WELL_0000201,Eagle Ford,Eagle Ford,2020-03-28,6011,hyperbolic,472.83,0.8892,1.3992
|
| 204 |
+
WELL_0000202,Eagle Ford,Eagle Ford,2021-11-30,6810,exponential,888.32,0.7429,0.0
|
| 205 |
+
WELL_0000203,Haynesville,Haynesville,2017-02-12,10602,harmonic,809.99,0.6689,1.0
|
| 206 |
+
WELL_0000204,Marcellus,Marcellus,2021-04-28,9366,harmonic,1118.42,0.9072,1.0
|
| 207 |
+
WELL_0000205,Marcellus,Marcellus,2020-01-01,9087,harmonic,746.77,0.7275,1.0
|
| 208 |
+
WELL_0000206,Eagle Ford,Eagle Ford,2020-08-24,8211,harmonic,730.02,0.8513,1.0
|
| 209 |
+
WELL_0000207,Marcellus,Marcellus,2015-07-19,9033,exponential,882.53,0.8511,0.0
|
| 210 |
+
WELL_0000208,North Sea,Brent,2021-09-10,7202,exponential,885.03,0.8959,0.0
|
| 211 |
+
WELL_0000209,Marcellus,Marcellus,2015-05-14,8128,harmonic,1060.87,0.8393,1.0
|
| 212 |
+
WELL_0000210,Bakken,Three Forks,2011-09-27,9608,exponential,1008.7,0.6549,0.0
|
| 213 |
+
WELL_0000211,North Sea,Brent,2015-04-05,9758,exponential,916.72,0.7277,0.0
|
| 214 |
+
WELL_0000212,Bakken,Three Forks,2017-03-04,6632,exponential,823.22,0.6392,0.0
|
| 215 |
+
WELL_0000213,Haynesville,Haynesville,2013-02-07,6001,hyperbolic,1059.08,0.652,1.501
|
| 216 |
+
WELL_0000214,Eagle Ford,Eagle Ford,2018-08-04,7846,hyperbolic,1255.36,0.8011,1.1307
|
| 217 |
+
WELL_0000215,North Sea,Brent,2014-10-19,8637,hyperbolic,1021.84,0.7762,1.3707
|
| 218 |
+
WELL_0000216,Permian,Wolfcamp,2019-02-22,8431,exponential,977.05,0.7436,0.0
|
| 219 |
+
WELL_0000217,Bakken,Three Forks,2020-06-13,6882,harmonic,1005.4,0.609,1.0
|
| 220 |
+
WELL_0000218,Marcellus,Marcellus,2014-08-22,8522,hyperbolic,1083.79,0.7971,1.1132
|
| 221 |
+
WELL_0000219,Marcellus,Marcellus,2023-02-06,7566,exponential,1012.56,0.726,0.0
|
| 222 |
+
WELL_0000220,North Sea,Brent,2022-11-30,6456,hyperbolic,985.25,0.6822,1.2317
|
| 223 |
+
WELL_0000221,Marcellus,Marcellus,2010-02-18,8807,exponential,1135.25,0.8273,0.0
|
| 224 |
+
WELL_0000222,Bakken,Three Forks,2018-09-30,9717,exponential,1126.88,0.9465,0.0
|
| 225 |
+
WELL_0000223,Marcellus,Marcellus,2022-04-01,7750,harmonic,618.64,0.652,1.0
|
| 226 |
+
WELL_0000224,Haynesville,Haynesville,2020-12-13,8724,hyperbolic,954.7,0.8318,1.0049
|
| 227 |
+
WELL_0000225,Eagle Ford,Eagle Ford,2019-10-11,6812,exponential,814.03,0.7188,0.0
|
| 228 |
+
WELL_0000226,Marcellus,Marcellus,2018-09-21,9764,hyperbolic,783.82,0.6448,0.9548
|
| 229 |
+
WELL_0000227,Bakken,Three Forks,2019-01-26,9091,harmonic,779.11,1.0432,1.0
|
| 230 |
+
WELL_0000228,North Sea,Brent,2020-06-25,7809,hyperbolic,983.27,0.6942,1.2901
|
| 231 |
+
WELL_0000229,Eagle Ford,Eagle Ford,2021-12-24,8384,harmonic,971.96,1.036,1.0
|
| 232 |
+
WELL_0000230,Permian,Wolfcamp,2023-04-11,8458,exponential,1156.87,0.7097,0.0
|
| 233 |
+
WELL_0000231,Haynesville,Haynesville,2010-08-11,10674,harmonic,1268.74,0.7173,1.0
|
| 234 |
+
WELL_0000232,Permian,Wolfcamp,2019-08-13,9258,harmonic,1077.4,0.7238,1.0
|
| 235 |
+
WELL_0000233,Eagle Ford,Eagle Ford,2014-01-28,6615,exponential,1125.06,0.8422,0.0
|
| 236 |
+
WELL_0000234,Permian,Wolfcamp,2018-07-03,8410,exponential,819.12,0.7552,0.0
|
| 237 |
+
WELL_0000235,Bakken,Three Forks,2020-03-13,8956,hyperbolic,1061.72,0.7978,0.8829
|
| 238 |
+
WELL_0000236,Bakken,Three Forks,2018-07-03,9796,exponential,1059.91,0.836,0.0
|
| 239 |
+
WELL_0000237,Bakken,Three Forks,2015-08-29,8415,exponential,1100.11,0.8259,0.0
|
| 240 |
+
WELL_0000238,Permian,Wolfcamp,2010-06-08,8749,exponential,651.03,0.823,0.0
|
| 241 |
+
WELL_0000239,North Sea,Brent,2011-03-03,7202,harmonic,998.88,0.6523,1.0
|
| 242 |
+
WELL_0000240,Bakken,Three Forks,2011-07-17,8533,hyperbolic,1139.57,0.776,1.2863
|
| 243 |
+
WELL_0000241,North Sea,Brent,2010-09-12,8615,hyperbolic,955.36,0.8738,1.0468
|
| 244 |
+
WELL_0000242,Eagle Ford,Eagle Ford,2010-06-16,8766,hyperbolic,866.79,0.7366,1.0882
|
| 245 |
+
WELL_0000243,Haynesville,Haynesville,2015-05-09,8275,hyperbolic,863.83,0.9056,0.9711
|
| 246 |
+
WELL_0000244,Eagle Ford,Eagle Ford,2012-07-26,8735,exponential,870.85,0.9247,0.0
|
| 247 |
+
WELL_0000245,Haynesville,Haynesville,2020-06-06,9567,hyperbolic,1135.73,0.6314,1.2034
|
| 248 |
+
WELL_0000246,North Sea,Brent,2018-04-10,7879,exponential,964.81,0.8865,0.0
|
| 249 |
+
WELL_0000247,Eagle Ford,Eagle Ford,2023-08-15,8064,harmonic,1203.68,1.0099,1.0
|
| 250 |
+
WELL_0000248,North Sea,Brent,2012-07-27,10395,harmonic,869.81,0.9253,1.0
|
| 251 |
+
WELL_0000249,Eagle Ford,Eagle Ford,2012-06-04,8161,exponential,855.89,0.738,0.0
|
| 252 |
+
WELL_0000250,Haynesville,Haynesville,2016-12-30,7578,hyperbolic,708.0,0.6881,0.9492
|
| 253 |
+
WELL_0000251,Haynesville,Haynesville,2018-06-02,10360,harmonic,943.76,0.8034,1.0
|
| 254 |
+
WELL_0000252,Marcellus,Marcellus,2014-06-13,8243,harmonic,770.3,0.8784,1.0
|
| 255 |
+
WELL_0000253,Permian,Wolfcamp,2015-06-13,7152,harmonic,941.1,0.8475,1.0
|
| 256 |
+
WELL_0000254,Permian,Wolfcamp,2016-10-06,9090,harmonic,1018.83,0.7966,1.0
|
| 257 |
+
WELL_0000255,North Sea,Brent,2012-09-18,7734,harmonic,1002.05,1.0255,1.0
|
| 258 |
+
WELL_0000256,Haynesville,Haynesville,2017-10-15,7735,hyperbolic,854.42,0.7177,1.0389
|
| 259 |
+
WELL_0000257,Haynesville,Haynesville,2018-04-24,7815,exponential,1164.02,0.9221,0.0
|
| 260 |
+
WELL_0000258,Permian,Wolfcamp,2017-08-27,7837,harmonic,800.18,0.8271,1.0
|
| 261 |
+
WELL_0000259,Permian,Wolfcamp,2020-12-29,6681,exponential,1063.93,0.8003,0.0
|
| 262 |
+
WELL_0000260,Permian,Wolfcamp,2018-02-15,7764,exponential,1228.55,0.9596,0.0
|
| 263 |
+
WELL_0000261,North Sea,Brent,2013-06-07,8901,exponential,880.21,0.8086,0.0
|
| 264 |
+
WELL_0000262,Marcellus,Marcellus,2021-09-14,7542,hyperbolic,1068.54,0.981,1.1146
|
| 265 |
+
WELL_0000263,North Sea,Brent,2022-01-26,8460,exponential,701.72,0.7069,0.0
|
| 266 |
+
WELL_0000264,Marcellus,Marcellus,2019-10-09,8768,exponential,1273.02,0.7282,0.0
|
| 267 |
+
WELL_0000265,North Sea,Brent,2016-01-08,11532,harmonic,947.04,0.8988,1.0
|
| 268 |
+
WELL_0000266,Bakken,Three Forks,2011-12-11,9318,hyperbolic,854.44,0.7311,1.3588
|
| 269 |
+
WELL_0000267,Bakken,Three Forks,2015-06-21,8068,exponential,1282.41,0.8384,0.0
|
| 270 |
+
WELL_0000268,Marcellus,Marcellus,2023-09-09,9484,harmonic,1056.32,0.8909,1.0
|
| 271 |
+
WELL_0000269,North Sea,Brent,2017-07-18,9903,exponential,1041.31,0.8867,0.0
|
| 272 |
+
WELL_0000270,Permian,Wolfcamp,2017-04-16,8299,exponential,1198.79,0.8449,0.0
|
| 273 |
+
WELL_0000271,Eagle Ford,Eagle Ford,2014-10-04,7519,exponential,976.41,0.9007,0.0
|
| 274 |
+
WELL_0000272,Bakken,Three Forks,2017-08-20,8534,exponential,1016.36,0.7407,0.0
|
| 275 |
+
WELL_0000273,Bakken,Three Forks,2016-03-13,8555,harmonic,1180.12,0.7991,1.0
|
| 276 |
+
WELL_0000274,Haynesville,Haynesville,2021-08-03,11095,hyperbolic,705.23,0.8546,1.2791
|
| 277 |
+
WELL_0000275,Eagle Ford,Eagle Ford,2015-06-01,10392,hyperbolic,894.6,0.8019,1.1999
|
| 278 |
+
WELL_0000276,North Sea,Brent,2020-12-16,9229,exponential,932.85,0.8079,0.0
|
| 279 |
+
WELL_0000277,Haynesville,Haynesville,2020-09-05,9788,hyperbolic,983.59,0.7354,1.1888
|
| 280 |
+
WELL_0000278,North Sea,Brent,2021-01-03,7659,harmonic,765.23,0.7933,1.0
|
| 281 |
+
WELL_0000279,Marcellus,Marcellus,2012-02-02,8952,hyperbolic,1165.11,0.6277,1.0382
|
| 282 |
+
WELL_0000280,Bakken,Three Forks,2019-01-26,10757,hyperbolic,1231.79,0.7734,1.039
|
| 283 |
+
WELL_0000281,North Sea,Brent,2016-11-13,7897,hyperbolic,689.36,0.5601,1.238
|
| 284 |
+
WELL_0000282,North Sea,Brent,2018-04-12,8792,harmonic,766.18,0.8508,1.0
|
| 285 |
+
WELL_0000283,Marcellus,Marcellus,2021-11-28,9546,harmonic,848.47,0.652,1.0
|
| 286 |
+
WELL_0000284,Bakken,Three Forks,2022-05-06,10715,exponential,1067.04,0.7701,0.0
|
| 287 |
+
WELL_0000285,Bakken,Three Forks,2020-03-06,7669,exponential,757.38,0.6274,0.0
|
| 288 |
+
WELL_0000286,Bakken,Three Forks,2015-08-22,8210,exponential,941.79,0.8043,0.0
|
| 289 |
+
WELL_0000287,Eagle Ford,Eagle Ford,2014-04-27,8401,hyperbolic,1013.37,0.6548,1.4388
|
| 290 |
+
WELL_0000288,Bakken,Three Forks,2022-01-07,9183,hyperbolic,1151.11,0.8143,1.2414
|
| 291 |
+
WELL_0000289,North Sea,Brent,2014-04-19,8735,hyperbolic,1030.59,0.8443,1.4158
|
| 292 |
+
WELL_0000290,Eagle Ford,Eagle Ford,2020-11-10,10228,harmonic,1077.62,0.771,1.0
|
| 293 |
+
WELL_0000291,Bakken,Three Forks,2023-03-23,8451,harmonic,828.25,0.9601,1.0
|
| 294 |
+
WELL_0000292,Haynesville,Haynesville,2016-05-07,7682,harmonic,692.46,0.7928,1.0
|
| 295 |
+
WELL_0000293,Permian,Wolfcamp,2016-08-23,6232,hyperbolic,1101.32,0.7147,1.0608
|
| 296 |
+
WELL_0000294,Eagle Ford,Eagle Ford,2014-01-09,6599,exponential,868.58,0.5376,0.0
|
| 297 |
+
WELL_0000295,Bakken,Three Forks,2021-12-24,7339,hyperbolic,1086.87,0.8586,1.2351
|
| 298 |
+
WELL_0000296,Eagle Ford,Eagle Ford,2011-01-08,7109,exponential,941.41,0.7796,0.0
|
| 299 |
+
WELL_0000297,Permian,Wolfcamp,2016-07-21,8234,harmonic,1220.61,0.8677,1.0
|
| 300 |
+
WELL_0000298,North Sea,Brent,2021-01-04,8203,hyperbolic,954.84,0.8008,0.7417
|
| 301 |
+
WELL_0000299,Permian,Wolfcamp,2022-11-16,10657,hyperbolic,827.24,0.6798,1.0938
|
| 302 |
+
WELL_0000300,Bakken,Three Forks,2020-09-26,9187,exponential,1065.35,0.7229,0.0
|
| 303 |
+
WELL_0000301,Marcellus,Marcellus,2014-02-19,8571,exponential,1201.88,0.8725,0.0
|
| 304 |
+
WELL_0000302,Permian,Wolfcamp,2020-09-18,8972,exponential,833.55,0.8498,0.0
|
| 305 |
+
WELL_0000303,Permian,Wolfcamp,2018-12-27,7857,hyperbolic,1111.13,0.8435,1.3599
|
| 306 |
+
WELL_0000304,Marcellus,Marcellus,2022-12-10,7672,hyperbolic,1187.13,0.7998,1.5651
|
| 307 |
+
WELL_0000305,North Sea,Brent,2011-03-16,7718,harmonic,1262.47,0.7998,1.0
|
| 308 |
+
WELL_0000306,Eagle Ford,Eagle Ford,2022-08-16,9127,hyperbolic,862.9,0.748,1.2348
|
| 309 |
+
WELL_0000307,Bakken,Three Forks,2015-07-27,10573,hyperbolic,846.73,0.7776,1.5785
|
| 310 |
+
WELL_0000308,Permian,Wolfcamp,2019-05-03,8644,harmonic,1028.54,0.7838,1.0
|
| 311 |
+
WELL_0000309,Haynesville,Haynesville,2015-01-23,8191,harmonic,1060.43,0.6777,1.0
|
| 312 |
+
WELL_0000310,Haynesville,Haynesville,2020-02-08,9276,exponential,649.65,0.8199,0.0
|
| 313 |
+
WELL_0000311,Marcellus,Marcellus,2023-03-15,7029,exponential,863.03,0.9374,0.0
|
| 314 |
+
WELL_0000312,Marcellus,Marcellus,2022-10-03,9756,exponential,686.41,0.8024,0.0
|
| 315 |
+
WELL_0000313,Haynesville,Haynesville,2023-09-04,8453,hyperbolic,1253.11,0.7341,1.3657
|
| 316 |
+
WELL_0000314,North Sea,Brent,2014-08-30,6608,hyperbolic,918.93,0.8684,1.2805
|
| 317 |
+
WELL_0000315,North Sea,Brent,2015-12-08,8974,hyperbolic,1215.78,0.918,1.0249
|
| 318 |
+
WELL_0000316,North Sea,Brent,2013-07-10,7694,hyperbolic,1038.93,0.8061,1.0399
|
| 319 |
+
WELL_0000317,Eagle Ford,Eagle Ford,2022-05-19,8055,hyperbolic,945.4,0.8973,1.2587
|
| 320 |
+
WELL_0000318,Permian,Wolfcamp,2010-01-22,6412,hyperbolic,1088.91,0.4951,1.3798
|
| 321 |
+
WELL_0000319,Marcellus,Marcellus,2023-04-27,6946,exponential,884.76,0.668,0.0
|
| 322 |
+
WELL_0000320,Marcellus,Marcellus,2010-09-25,8915,exponential,1158.95,0.7332,0.0
|
| 323 |
+
WELL_0000321,Eagle Ford,Eagle Ford,2016-05-05,8592,exponential,941.55,0.8277,0.0
|
| 324 |
+
WELL_0000322,North Sea,Brent,2011-08-07,7907,exponential,719.06,0.8796,0.0
|
| 325 |
+
WELL_0000323,North Sea,Brent,2015-12-08,9520,hyperbolic,669.82,0.7372,1.4502
|
| 326 |
+
WELL_0000324,North Sea,Brent,2014-06-09,8114,harmonic,887.24,0.7451,1.0
|
| 327 |
+
WELL_0000325,Marcellus,Marcellus,2022-03-20,9736,hyperbolic,1323.81,0.8182,1.236
|
| 328 |
+
WELL_0000326,Eagle Ford,Eagle Ford,2013-05-05,8264,harmonic,992.98,0.7541,1.0
|
| 329 |
+
WELL_0000327,Bakken,Three Forks,2011-08-08,8562,hyperbolic,937.11,0.7763,1.2955
|
| 330 |
+
WELL_0000328,Permian,Wolfcamp,2016-11-24,6102,hyperbolic,1081.88,0.7719,1.1657
|
| 331 |
+
WELL_0000329,Haynesville,Haynesville,2022-10-07,9697,harmonic,1114.94,0.8146,1.0
|
| 332 |
+
WELL_0000330,Bakken,Three Forks,2012-10-15,8332,exponential,428.67,0.9888,0.0
|
| 333 |
+
WELL_0000331,Marcellus,Marcellus,2016-10-27,9235,harmonic,1149.47,0.676,1.0
|
| 334 |
+
WELL_0000332,North Sea,Brent,2016-02-09,10796,exponential,760.39,0.7176,0.0
|
| 335 |
+
WELL_0000333,Haynesville,Haynesville,2021-01-28,9544,harmonic,915.68,0.8017,1.0
|
| 336 |
+
WELL_0000334,Marcellus,Marcellus,2023-06-01,11384,hyperbolic,1039.22,0.795,1.223
|
| 337 |
+
WELL_0000335,Permian,Wolfcamp,2017-03-25,9760,exponential,939.63,0.8001,0.0
|
| 338 |
+
WELL_0000336,Haynesville,Haynesville,2010-07-31,9266,exponential,1148.99,0.8987,0.0
|
| 339 |
+
WELL_0000337,Permian,Wolfcamp,2022-11-26,8863,hyperbolic,744.26,0.9433,0.9207
|
| 340 |
+
WELL_0000338,Haynesville,Haynesville,2016-01-17,8885,hyperbolic,814.23,0.7736,1.2158
|
| 341 |
+
WELL_0000339,Haynesville,Haynesville,2013-12-06,8207,hyperbolic,1025.95,0.9414,1.2407
|
| 342 |
+
WELL_0000340,Marcellus,Marcellus,2019-12-02,7026,harmonic,1123.54,0.8989,1.0
|
| 343 |
+
WELL_0000341,Bakken,Three Forks,2023-02-17,10150,hyperbolic,1057.53,0.8501,1.0905
|
| 344 |
+
WELL_0000342,Marcellus,Marcellus,2021-01-11,8292,harmonic,922.99,0.7926,1.0
|
| 345 |
+
WELL_0000343,Permian,Wolfcamp,2017-10-21,6771,exponential,952.8,0.6704,0.0
|
| 346 |
+
WELL_0000344,Marcellus,Marcellus,2017-03-15,7310,exponential,1237.01,0.6953,0.0
|
| 347 |
+
WELL_0000345,North Sea,Brent,2013-08-10,10470,hyperbolic,562.39,0.7161,0.8854
|
| 348 |
+
WELL_0000346,Bakken,Three Forks,2021-02-10,11202,exponential,1131.77,0.7112,0.0
|
| 349 |
+
WELL_0000347,Bakken,Three Forks,2018-12-25,5500,harmonic,1126.72,0.7475,1.0
|
| 350 |
+
WELL_0000348,Haynesville,Haynesville,2020-03-14,9727,hyperbolic,1362.37,0.641,0.8209
|
| 351 |
+
WELL_0000349,Permian,Wolfcamp,2015-08-30,9176,exponential,1389.16,0.9184,0.0
|
| 352 |
+
WELL_0000350,Bakken,Three Forks,2019-01-25,8837,hyperbolic,1057.06,0.8653,1.3018
|
| 353 |
+
WELL_0000351,Haynesville,Haynesville,2022-03-03,8163,hyperbolic,968.76,0.7737,0.9992
|
| 354 |
+
WELL_0000352,Marcellus,Marcellus,2011-03-21,7313,exponential,645.27,0.7702,0.0
|
| 355 |
+
WELL_0000353,Eagle Ford,Eagle Ford,2018-02-11,10170,harmonic,751.35,0.798,1.0
|
| 356 |
+
WELL_0000354,Haynesville,Haynesville,2019-12-01,7312,exponential,1115.3,0.6229,0.0
|
| 357 |
+
WELL_0000355,Permian,Wolfcamp,2015-12-28,9160,hyperbolic,1119.34,0.6818,1.1051
|
| 358 |
+
WELL_0000356,Haynesville,Haynesville,2016-06-17,7778,hyperbolic,775.7,0.7905,0.8832
|
| 359 |
+
WELL_0000357,Marcellus,Marcellus,2020-11-14,9028,harmonic,1007.56,0.6207,1.0
|
| 360 |
+
WELL_0000358,Permian,Wolfcamp,2023-08-28,10136,hyperbolic,946.47,0.8352,1.1948
|
| 361 |
+
WELL_0000359,Eagle Ford,Eagle Ford,2013-07-21,8646,harmonic,972.54,0.7371,1.0
|
| 362 |
+
WELL_0000360,Bakken,Three Forks,2010-04-23,8548,harmonic,1047.79,0.7849,1.0
|
| 363 |
+
WELL_0000361,Haynesville,Haynesville,2012-02-03,6816,exponential,823.64,0.7137,0.0
|
| 364 |
+
WELL_0000362,Eagle Ford,Eagle Ford,2020-05-08,7637,hyperbolic,1264.92,0.6556,1.0114
|
| 365 |
+
WELL_0000363,Permian,Wolfcamp,2013-06-15,9997,harmonic,1111.09,0.7505,1.0
|
| 366 |
+
WELL_0000364,Marcellus,Marcellus,2016-07-18,7497,harmonic,828.77,0.8079,1.0
|
| 367 |
+
WELL_0000365,Haynesville,Haynesville,2016-02-18,8871,harmonic,1336.13,0.6612,1.0
|
| 368 |
+
WELL_0000366,Marcellus,Marcellus,2020-08-04,8277,exponential,1064.08,0.8214,0.0
|
| 369 |
+
WELL_0000367,Eagle Ford,Eagle Ford,2022-05-13,8323,exponential,926.63,0.7844,0.0
|
| 370 |
+
WELL_0000368,Eagle Ford,Eagle Ford,2014-04-11,7831,exponential,1123.5,1.0011,0.0
|
| 371 |
+
WELL_0000369,Haynesville,Haynesville,2013-01-23,11595,harmonic,703.44,0.7712,1.0
|
| 372 |
+
WELL_0000370,Permian,Wolfcamp,2019-04-23,10513,exponential,805.34,0.9439,0.0
|
| 373 |
+
WELL_0000371,Bakken,Three Forks,2015-12-29,10454,harmonic,850.35,0.8369,1.0
|
| 374 |
+
WELL_0000372,Permian,Wolfcamp,2016-09-11,7801,exponential,881.76,0.7596,0.0
|
| 375 |
+
WELL_0000373,Haynesville,Haynesville,2020-12-25,7031,harmonic,767.34,0.7151,1.0
|
| 376 |
+
WELL_0000374,Eagle Ford,Eagle Ford,2022-01-30,8780,exponential,956.14,0.703,0.0
|
| 377 |
+
WELL_0000375,Marcellus,Marcellus,2017-06-16,9500,exponential,669.94,0.8131,0.0
|
| 378 |
+
WELL_0000376,Haynesville,Haynesville,2018-06-18,9973,harmonic,591.13,0.8174,1.0
|
| 379 |
+
WELL_0000377,Marcellus,Marcellus,2014-03-26,9002,exponential,732.26,0.9473,0.0
|
| 380 |
+
WELL_0000378,North Sea,Brent,2022-10-29,8591,hyperbolic,823.1,0.7744,1.2617
|
| 381 |
+
WELL_0000379,Marcellus,Marcellus,2019-03-20,6803,hyperbolic,1046.98,0.6879,1.1839
|
| 382 |
+
WELL_0000380,Permian,Wolfcamp,2020-08-10,7617,exponential,929.98,0.6896,0.0
|
| 383 |
+
WELL_0000381,North Sea,Brent,2018-08-29,9230,exponential,1172.5,0.8891,0.0
|
| 384 |
+
WELL_0000382,North Sea,Brent,2013-05-31,9955,harmonic,753.38,0.7484,1.0
|
| 385 |
+
WELL_0000383,Marcellus,Marcellus,2012-10-31,8730,hyperbolic,975.51,1.0119,1.2287
|
| 386 |
+
WELL_0000384,Haynesville,Haynesville,2017-06-12,8317,harmonic,894.36,0.7934,1.0
|
| 387 |
+
WELL_0000385,Permian,Wolfcamp,2012-03-27,7556,exponential,1077.46,0.8757,0.0
|
| 388 |
+
WELL_0000386,Haynesville,Haynesville,2010-05-06,9109,exponential,710.38,0.5964,0.0
|
| 389 |
+
WELL_0000387,North Sea,Brent,2019-03-13,11491,hyperbolic,751.39,0.5647,1.2277
|
| 390 |
+
WELL_0000388,North Sea,Brent,2011-09-05,8381,hyperbolic,948.91,0.8638,1.1664
|
| 391 |
+
WELL_0000389,Marcellus,Marcellus,2017-08-05,8820,exponential,1115.43,0.751,0.0
|
| 392 |
+
WELL_0000390,Haynesville,Haynesville,2018-12-01,9690,harmonic,1007.91,0.7132,1.0
|
| 393 |
+
WELL_0000391,North Sea,Brent,2017-05-15,7421,hyperbolic,918.51,0.7044,1.2573
|
| 394 |
+
WELL_0000392,North Sea,Brent,2018-07-11,9803,harmonic,955.07,0.7791,1.0
|
| 395 |
+
WELL_0000393,Bakken,Three Forks,2020-12-11,9481,harmonic,1035.45,0.7775,1.0
|
| 396 |
+
WELL_0000394,Haynesville,Haynesville,2011-07-15,6925,hyperbolic,1200.24,0.8358,1.1521
|
| 397 |
+
WELL_0000395,Eagle Ford,Eagle Ford,2016-06-12,7768,harmonic,758.28,0.7495,1.0
|
| 398 |
+
WELL_0000396,Eagle Ford,Eagle Ford,2012-01-11,9135,harmonic,916.35,0.7857,1.0
|
| 399 |
+
WELL_0000397,Marcellus,Marcellus,2012-04-03,6129,hyperbolic,937.31,0.8287,1.1629
|
| 400 |
+
WELL_0000398,Marcellus,Marcellus,2016-09-19,9219,hyperbolic,780.92,0.7656,0.9081
|
| 401 |
+
WELL_0000399,Permian,Wolfcamp,2017-04-11,10288,hyperbolic,1225.54,0.9019,1.1073
|
| 402 |
+
WELL_0000400,Permian,Wolfcamp,2018-01-15,7763,exponential,976.76,0.7463,0.0
|
| 403 |
+
WELL_0000401,Bakken,Three Forks,2013-04-07,8704,exponential,895.56,0.7412,0.0
|
| 404 |
+
WELL_0000402,Eagle Ford,Eagle Ford,2019-03-30,9024,harmonic,978.9,0.7803,1.0
|
| 405 |
+
WELL_0000403,Haynesville,Haynesville,2014-01-15,6718,harmonic,1164.32,0.875,1.0
|
| 406 |
+
WELL_0000404,Eagle Ford,Eagle Ford,2011-10-09,8230,hyperbolic,490.29,0.8734,0.8766
|
| 407 |
+
WELL_0000405,Haynesville,Haynesville,2015-05-27,9149,exponential,739.38,0.5998,0.0
|
| 408 |
+
WELL_0000406,Marcellus,Marcellus,2013-03-18,5390,harmonic,1086.65,0.7223,1.0
|
| 409 |
+
WELL_0000407,Eagle Ford,Eagle Ford,2015-09-12,6725,exponential,851.68,0.8192,0.0
|
| 410 |
+
WELL_0000408,Marcellus,Marcellus,2010-03-18,9195,exponential,983.0,0.7785,0.0
|
| 411 |
+
WELL_0000409,Marcellus,Marcellus,2022-04-05,9935,exponential,971.52,0.6827,0.0
|
| 412 |
+
WELL_0000410,Eagle Ford,Eagle Ford,2019-11-28,7968,hyperbolic,921.46,0.7773,0.9633
|
| 413 |
+
WELL_0000411,Bakken,Three Forks,2016-09-16,10554,harmonic,790.74,0.7627,1.0
|
| 414 |
+
WELL_0000412,North Sea,Brent,2015-08-11,10265,exponential,703.06,0.6186,0.0
|
| 415 |
+
WELL_0000413,Marcellus,Marcellus,2014-06-20,9747,exponential,912.32,0.7131,0.0
|
| 416 |
+
WELL_0000414,Marcellus,Marcellus,2012-05-23,9313,exponential,840.99,0.9626,0.0
|
| 417 |
+
WELL_0000415,Eagle Ford,Eagle Ford,2022-10-30,7773,exponential,862.18,0.9957,0.0
|
| 418 |
+
WELL_0000416,Bakken,Three Forks,2016-08-20,10062,harmonic,1083.58,0.8099,1.0
|
| 419 |
+
WELL_0000417,North Sea,Brent,2010-06-29,7595,exponential,1231.07,0.7832,0.0
|
| 420 |
+
WELL_0000418,North Sea,Brent,2016-02-27,10916,exponential,1032.79,0.7122,0.0
|
| 421 |
+
WELL_0000419,Permian,Wolfcamp,2011-02-06,8721,harmonic,974.58,0.7435,1.0
|
| 422 |
+
WELL_0000420,Haynesville,Haynesville,2021-02-21,9940,harmonic,707.52,0.6828,1.0
|
| 423 |
+
WELL_0000421,Bakken,Three Forks,2023-08-14,9922,hyperbolic,831.76,0.6753,1.2573
|
| 424 |
+
WELL_0000422,Bakken,Three Forks,2014-04-07,6793,hyperbolic,1079.41,0.8796,0.9986
|
| 425 |
+
WELL_0000423,Haynesville,Haynesville,2013-01-25,8199,exponential,1220.24,0.7477,0.0
|
| 426 |
+
WELL_0000424,North Sea,Brent,2010-11-19,11098,hyperbolic,1189.07,0.8356,1.2412
|
| 427 |
+
WELL_0000425,Bakken,Three Forks,2010-10-01,8568,exponential,834.17,0.8728,0.0
|
| 428 |
+
WELL_0000426,Haynesville,Haynesville,2012-12-12,9109,exponential,998.35,0.9328,0.0
|
| 429 |
+
WELL_0000427,Permian,Wolfcamp,2017-04-30,8062,exponential,1046.89,0.8873,0.0
|
| 430 |
+
WELL_0000428,North Sea,Brent,2013-12-09,6140,exponential,798.94,0.6755,0.0
|
| 431 |
+
WELL_0000429,Eagle Ford,Eagle Ford,2022-02-05,8167,hyperbolic,1320.12,0.6697,1.1057
|
| 432 |
+
WELL_0000430,Bakken,Three Forks,2021-04-03,9532,harmonic,1005.33,0.8616,1.0
|
| 433 |
+
WELL_0000431,Bakken,Three Forks,2015-10-07,8201,hyperbolic,845.05,0.7633,1.2065
|
| 434 |
+
WELL_0000432,Marcellus,Marcellus,2017-08-06,9381,exponential,1239.32,0.8291,0.0
|
| 435 |
+
WELL_0000433,Permian,Wolfcamp,2011-09-09,8717,exponential,1069.32,0.8973,0.0
|
| 436 |
+
WELL_0000434,Eagle Ford,Eagle Ford,2018-11-30,7865,hyperbolic,716.57,0.82,1.0197
|
| 437 |
+
WELL_0000435,Haynesville,Haynesville,2012-01-10,8525,exponential,1055.55,0.9038,0.0
|
| 438 |
+
WELL_0000436,Marcellus,Marcellus,2015-12-07,11622,hyperbolic,1005.59,0.9502,1.1982
|
| 439 |
+
WELL_0000437,Haynesville,Haynesville,2020-03-14,8957,hyperbolic,1051.79,0.6039,1.3007
|
| 440 |
+
WELL_0000438,Bakken,Three Forks,2015-11-18,8333,harmonic,1182.16,0.8473,1.0
|
| 441 |
+
WELL_0000439,Haynesville,Haynesville,2018-05-02,7479,exponential,729.63,0.7591,0.0
|
| 442 |
+
WELL_0000440,Permian,Wolfcamp,2015-03-31,10503,harmonic,845.51,0.8389,1.0
|
| 443 |
+
WELL_0000441,Marcellus,Marcellus,2022-08-05,9935,hyperbolic,1021.04,0.6604,1.2389
|
| 444 |
+
WELL_0000442,Bakken,Three Forks,2014-12-19,8517,harmonic,840.24,0.7666,1.0
|
| 445 |
+
WELL_0000443,North Sea,Brent,2020-05-31,9003,hyperbolic,808.72,0.8448,1.1258
|
| 446 |
+
WELL_0000444,North Sea,Brent,2019-02-27,9366,exponential,790.25,0.7363,0.0
|
| 447 |
+
WELL_0000445,Permian,Wolfcamp,2011-01-07,8769,hyperbolic,882.89,0.9527,1.0701
|
| 448 |
+
WELL_0000446,Permian,Wolfcamp,2021-01-18,6387,exponential,1117.87,0.6382,0.0
|
| 449 |
+
WELL_0000447,Permian,Wolfcamp,2015-04-08,11569,hyperbolic,675.38,0.9063,1.0396
|
| 450 |
+
WELL_0000448,Haynesville,Haynesville,2018-09-19,10907,hyperbolic,848.44,0.7985,1.4584
|
| 451 |
+
WELL_0000449,Marcellus,Marcellus,2022-02-12,9728,exponential,1321.07,0.9008,0.0
|
| 452 |
+
WELL_0000450,Marcellus,Marcellus,2013-06-19,7838,harmonic,1056.65,0.8578,1.0
|
| 453 |
+
WELL_0000451,Marcellus,Marcellus,2012-03-22,8295,harmonic,802.72,0.7797,1.0
|
| 454 |
+
WELL_0000452,Marcellus,Marcellus,2019-02-26,9646,harmonic,868.42,0.8496,1.0
|
| 455 |
+
WELL_0000453,Bakken,Three Forks,2018-04-24,8267,hyperbolic,965.91,0.9278,0.9217
|
| 456 |
+
WELL_0000454,Eagle Ford,Eagle Ford,2019-12-22,8400,exponential,820.97,0.5933,0.0
|
| 457 |
+
WELL_0000455,Eagle Ford,Eagle Ford,2012-03-24,9256,exponential,928.09,0.9313,0.0
|
| 458 |
+
WELL_0000456,North Sea,Brent,2022-03-19,9965,exponential,765.65,0.9654,0.0
|
| 459 |
+
WELL_0000457,North Sea,Brent,2011-05-12,7348,exponential,1054.78,0.7574,0.0
|
| 460 |
+
WELL_0000458,Marcellus,Marcellus,2014-04-04,10761,exponential,883.0,0.8889,0.0
|
| 461 |
+
WELL_0000459,Permian,Wolfcamp,2012-01-21,7156,exponential,1227.78,0.7311,0.0
|
| 462 |
+
WELL_0000460,North Sea,Brent,2023-05-24,8322,hyperbolic,975.36,0.6032,1.2146
|
| 463 |
+
WELL_0000461,Permian,Wolfcamp,2017-06-25,7860,hyperbolic,866.11,0.6205,1.2527
|
| 464 |
+
WELL_0000462,Eagle Ford,Eagle Ford,2022-08-31,10626,hyperbolic,739.41,0.4928,1.1445
|
| 465 |
+
WELL_0000463,Eagle Ford,Eagle Ford,2022-06-07,9062,hyperbolic,1249.03,0.7343,1.0296
|
| 466 |
+
WELL_0000464,Eagle Ford,Eagle Ford,2014-11-05,9419,harmonic,770.29,0.8102,1.0
|
| 467 |
+
WELL_0000465,Eagle Ford,Eagle Ford,2013-04-23,8255,exponential,1170.85,0.77,0.0
|
| 468 |
+
WELL_0000466,Haynesville,Haynesville,2016-03-21,8940,hyperbolic,791.96,0.6973,1.1047
|
| 469 |
+
WELL_0000467,Eagle Ford,Eagle Ford,2022-02-12,8174,hyperbolic,1114.45,0.6997,1.4485
|
| 470 |
+
WELL_0000468,Bakken,Three Forks,2012-06-19,9560,hyperbolic,946.15,0.7053,0.6652
|
| 471 |
+
WELL_0000469,North Sea,Brent,2012-12-15,9119,hyperbolic,1082.63,0.7519,1.1634
|
| 472 |
+
WELL_0000470,Permian,Wolfcamp,2015-05-04,9453,exponential,668.74,0.7271,0.0
|
| 473 |
+
WELL_0000471,Haynesville,Haynesville,2010-05-10,6872,exponential,724.23,0.8094,0.0
|
| 474 |
+
WELL_0000472,Eagle Ford,Eagle Ford,2011-03-06,6561,exponential,1033.96,0.7764,0.0
|
| 475 |
+
WELL_0000473,Eagle Ford,Eagle Ford,2019-06-11,7527,harmonic,1159.65,0.7065,1.0
|
| 476 |
+
WELL_0000474,Haynesville,Haynesville,2011-06-05,8574,hyperbolic,986.1,0.8949,0.9468
|
| 477 |
+
WELL_0000475,Marcellus,Marcellus,2018-02-13,8711,exponential,1027.19,0.8493,0.0
|
| 478 |
+
WELL_0000476,Haynesville,Haynesville,2012-06-12,8603,harmonic,883.93,0.6972,1.0
|
| 479 |
+
WELL_0000477,Marcellus,Marcellus,2014-12-20,9023,harmonic,757.01,0.4879,1.0
|
| 480 |
+
WELL_0000478,Haynesville,Haynesville,2021-09-11,9242,hyperbolic,1112.71,0.5437,0.9481
|
| 481 |
+
WELL_0000479,Bakken,Three Forks,2010-09-13,7626,exponential,1320.35,0.7821,0.0
|
| 482 |
+
WELL_0000480,Permian,Wolfcamp,2019-01-04,7724,exponential,917.08,0.9175,0.0
|
| 483 |
+
WELL_0000481,Marcellus,Marcellus,2012-06-03,7356,harmonic,806.15,0.7317,1.0
|
| 484 |
+
WELL_0000482,Marcellus,Marcellus,2019-12-13,8887,harmonic,972.08,0.9425,1.0
|
| 485 |
+
WELL_0000483,Permian,Wolfcamp,2017-03-23,9559,hyperbolic,904.58,0.7508,0.8374
|
| 486 |
+
WELL_0000484,Haynesville,Haynesville,2011-06-23,8858,hyperbolic,935.99,0.762,1.7886
|
| 487 |
+
WELL_0000485,Eagle Ford,Eagle Ford,2023-02-17,9878,exponential,814.68,0.7374,0.0
|
| 488 |
+
WELL_0000486,Haynesville,Haynesville,2017-04-17,9603,harmonic,970.39,0.6362,1.0
|
| 489 |
+
WELL_0000487,Marcellus,Marcellus,2021-11-25,9796,harmonic,829.73,0.9673,1.0
|
| 490 |
+
WELL_0000488,Bakken,Three Forks,2021-05-04,8581,exponential,869.48,0.9081,0.0
|
| 491 |
+
WELL_0000489,Haynesville,Haynesville,2012-03-23,7484,exponential,1103.5,0.8285,0.0
|
| 492 |
+
WELL_0000490,North Sea,Brent,2022-05-14,8015,hyperbolic,834.16,0.883,1.083
|
| 493 |
+
WELL_0000491,North Sea,Brent,2019-08-25,7218,hyperbolic,778.08,0.8224,1.5625
|
| 494 |
+
WELL_0000492,Marcellus,Marcellus,2019-04-13,9042,hyperbolic,954.36,0.9212,1.1341
|
| 495 |
+
WELL_0000493,Bakken,Three Forks,2018-12-11,8275,exponential,758.77,0.8228,0.0
|
| 496 |
+
WELL_0000494,Marcellus,Marcellus,2012-02-18,11607,harmonic,1127.43,0.8987,1.0
|
| 497 |
+
WELL_0000495,Bakken,Three Forks,2017-01-04,8733,exponential,1054.33,0.8126,0.0
|
| 498 |
+
WELL_0000496,North Sea,Brent,2018-05-25,8145,exponential,886.43,0.8138,0.0
|
| 499 |
+
WELL_0000497,Eagle Ford,Eagle Ford,2020-08-21,7292,harmonic,980.32,0.9118,1.0
|
| 500 |
+
WELL_0000498,Permian,Wolfcamp,2011-12-01,5953,hyperbolic,1155.18,0.9117,1.1264
|
| 501 |
+
WELL_0000499,Permian,Wolfcamp,2012-03-02,8472,exponential,840.59,0.9097,0.0
|