---
license: cc-by-nc-4.0
task_categories:
- tabular-classification
- tabular-regression
- time-series-forecasting
language:
- en
tags:
- tsfile
- timeseries
- synthetic
- oil-and-gas
- upstream
- iot
- rig-telemetry
- predictive-maintenance
- condition-monitoring
- remaining-useful-life
- sensor-fusion
- anomaly-detection
- xpertsystems
- time-series
- format:tsfile
pretty_name: OIL-012 — Synthetic Rig Sensor IoT Dataset (Sample) (TsFile)
size_categories:
- 100K<n<1M
configs:
- config_name: default
  data_files:
  - split: alarm_events
    path: alarm_events.tsfile
  - split: drilling_parameters
    path: drilling_parameters.tsfile
  - split: environmental_conditions
    path: environmental_conditions.tsfile
  - split: hydraulic_systems
    path: hydraulic_systems.tsfile
  - split: maintenance_records
    path: maintenance_records.tsfile
  - split: power_systems
    path: power_systems.tsfile
  - split: rigs_master
    path: rigs_master.tsfile
  - split: rul_labels
    path: rul_labels.tsfile
  - split: sensor_fusion_features
    path: sensor_fusion_features.tsfile
  - split: sensor_health
    path: sensor_health.tsfile
  - split: sensors_master
    path: sensors_master.tsfile
  - split: telemetry_streams
    path: telemetry_streams.tsfile
  - split: thermal_monitoring
    path: thermal_monitoring.tsfile
  - split: vibration_analysis
    path: vibration_analysis.tsfile
---

# OIL-012 — Synthetic Rig Sensor IoT Dataset (Sample) (TsFile)

Apache TsFile version of [`xpertsystems/oil012-sample`](https://huggingface.co/datasets/xpertsystems/oil012-sample).

## Overview

A free, schema-identical preview of XpertSystems.ai's enterprise drilling rig IoT telemetry dataset for predictive-maintenance ML, condition-monitoring ML, sensor-fusion modeling, and remaining-useful-life forecasting. The sample covers **30 rigs** across **10 global basins** and **8 rig types**, with **134,622 rows** including **94,745 sparse-format telemetry events** linked across **15 tables**.

- **Tables:** 14 TsFile table(s), 134,622 rows in total.
  - `alarm_events`: 278 rows, 2026-01-01 00:00:00 → 2026-01-01 23:50:00.002000 (UTC)
  - `drilling_parameters`: 4,320 rows, 2026-01-01 00:00:00 → 2026-01-01 23:50:00.029000 (UTC)
  - `environmental_conditions`: 4,320 rows, 2026-01-01 00:00:00 → 2026-01-01 23:50:00.029000 (UTC)
  - `hydraulic_systems`: 4,320 rows, 2026-01-01 00:00:00 → 2026-01-01 23:50:00.029000 (UTC)
  - `maintenance_records`: 29 rows, 2026-01-01 00:10:00 → 2026-01-01 14:40:00 (UTC)
  - `power_systems`: 4,320 rows, 2026-01-01 00:00:00 → 2026-01-01 23:50:00.029000 (UTC)
  - `rigs_master`: 30 rows, 1970-01-01 00:00:00 → 1970-01-01 00:00:00.029000 (UTC)
  - `rul_labels`: 4,320 rows, 2026-01-01 00:00:00 → 2026-01-01 23:50:00.029000 (UTC)
  - `sensor_fusion_features`: 4,320 rows, 2026-01-01 00:00:00 → 2026-01-01 23:50:00.029000 (UTC)
  - `sensor_health`: 4,320 rows, 2026-01-01 00:00:00 → 2026-01-01 23:50:00.029000 (UTC)
  - `sensors_master`: 660 rows, 1970-01-01 00:00:00 → 1970-01-01 00:00:00.659000 (UTC)
  - `telemetry_streams`: 94,745 rows, 2026-01-01 00:00:00 → 2026-01-01 23:50:00.656000 (UTC)
  - `thermal_monitoring`: 4,320 rows, 2026-01-01 00:00:00 → 2026-01-01 23:50:00.029000 (UTC)
  - `vibration_analysis`: 4,320 rows, 2026-01-01 00:00:00 → 2026-01-01 23:50:00.029000 (UTC)

## Schema (TsFile structure)

### `alarm_events.tsfile`

- **Time** (INT64, milliseconds) — the source `event_ts` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (8): `alarm_id` (string), `rig_id` (string), `alarm_code` (string), `severity` (string), `subsystem` (string), `duration_sec` (int64), `anomaly_score` (double), `acknowledged_flag` (int64)

### `drilling_parameters.tsfile`

- **Time** (INT64, milliseconds) — the source `event_ts` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (11): `event_id` (string), `rig_id` (string), `operating_state` (string), `wob_klbs` (double), `torque_ftlb` (double), `rpm` (double), `rop_ft_hr` (double), `standpipe_pressure_psi` (double), `flow_rate_gpm` (double), `hook_load_klbs` (double), `stick_slip_index` (double)

### `environmental_conditions.tsfile`

- **Time** (INT64, milliseconds) — the source `event_ts` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (6): `rig_id` (string), `ambient_temp_f` (double), `humidity_pct` (double), `wind_speed_mph` (double), `environmental_stress_index` (double), `weather_impact_factor` (double)

### `hydraulic_systems.tsfile`

- **Time** (INT64, milliseconds) — the source `event_ts` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (6): `rig_id` (string), `pump_pressure_psi` (double), `hydraulic_pressure_psi` (double), `hydraulic_temp_f` (double), `flow_rate_gpm` (double), `cavitation_risk_score` (double)

### `maintenance_records.tsfile`

- **Time** (INT64, milliseconds) — the source `event_ts` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (9): `maintenance_id` (string), `rig_id` (string), `component_id` (string), `maintenance_type` (string), `subsystem` (string), `failure_mode` (string), `labor_hours` (double), `repair_cost_usd` (double), `post_maintenance_health_index` (double)

### `power_systems.tsfile`

- **Time** (INT64, milliseconds) — the source `event_ts` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (6): `rig_id` (string), `voltage` (double), `amperage` (double), `motor_current` (double), `load_pct` (double), `current_harmonic_distortion` (double)

### `rigs_master.tsfile`

- **Time** (INT64, milliseconds) — synthetic row index over the stable source order; this table has no clock column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (13): `rig_id` (string), `rig_type` (string), `operator_name` (string), `basin_name` (string), `country_region` (string), `rig_age_years` (double), `automation_level` (double), `offshore_flag` (int64), `hthp_flag` (int64), `environmental_stress_index` (double), `base_health_index` (double), `daily_operating_hours` (double), `commissioned_year` (int64)

### `rul_labels.tsfile`

- **Time** (INT64, milliseconds) — the source `event_ts` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (6): `rig_id` (string), `component_id` (string), `remaining_useful_life_hr` (double), `failure_probability` (double), `failure_horizon_days` (int64), `subsystem_health_score` (double)

### `sensor_fusion_features.tsfile`

- **Time** (INT64, milliseconds) — the source `event_ts` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (6): `rig_id` (string), `fusion_vector_id` (string), `anomaly_score` (double), `health_index` (double), `sensor_fusion_consistency` (double), `maintenance_priority_score` (double)

### `sensor_health.tsfile`

- **Time** (INT64, milliseconds) — the source `event_ts` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (5): `rig_id` (string), `calibration_score` (double), `sensor_drift_pct` (double), `packet_loss_pct` (double), `edge_latency_ms` (double)

### `sensors_master.tsfile`

- **Time** (INT64, milliseconds) — synthetic row index over the stable source order; this table has no clock column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (9): `sensor_id` (string), `rig_id` (string), `sensor_type` (string), `subsystem` (string), `unit` (string), `sensor_age_years` (double), `sampling_profile` (string), `calibration_score` (double), `edge_device_id` (string)

### `telemetry_streams.tsfile`

- **Time** (INT64, milliseconds) — the source `event_ts` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (8): `rig_id` (string), `sensor_id` (string), `sensor_type` (string), `subsystem` (string), `unit` (string), `sensor_value` (double), `quality_flag` (string), `operating_state` (string)

### `thermal_monitoring.tsfile`

- **Time** (INT64, milliseconds) — the source `event_ts` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (5): `rig_id` (string), `component_temp_f` (double), `bearing_temp_f` (double), `thermal_gradient` (double), `thermal_stress_index` (double)

### `vibration_analysis.tsfile`

- **Time** (INT64, milliseconds) — the source `event_ts` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (7): `rig_id` (string), `vibration_rms` (double), `axial_vibration` (double), `torsional_vibration` (double), `harmonic_index` (double), `stick_slip_index` (double), `shock_event_flag` (int64)

## Conversion notes

- One TsFile per source CSV (14 tables) for this drilling-rig telemetry sample; each table is stored as a single device, so the rig/well/tank/sensor ids stay ordinary FIELDs.
- Time = the table's own timestamp column as INT64 milliseconds (event timestamps, daily record/production dates, or test dates). Master/inventory tables that carry no clock (`rigs_master`, `sensors_master`, `wells_master`, `tank_master`, the label tables and `scada_telemetry`) use a synthetic row index as Time.
- No column is dropped. Rows that share a timestamp are ordered by a 1 ms step in stable source order; daily tables keep their exact calendar day.
- Not converted: `equipment_failures.csv` — the file ships with a header only and zero data rows.

## Usage

Install the Apache TsFile Python SDK (`pip install tsfile`) and read a converted file:

```python
from pathlib import Path
from tsfile import TsFileReader

path = Path("alarm_events.tsfile")
with TsFileReader(str(path)) as reader:
    schemas = reader.get_all_table_schemas()
    print("tables:", list(schemas))
    table_name = next(iter(schemas))
    table = schemas[table_name]
    columns = [column.get_column_name() for column in table.get_columns()]
    print("columns:", columns)
    field_names = [
        column.get_column_name()
        for column in table.get_columns()
        if column.get_column_name() not in {"Time", "time"}
    ]
    if field_names:
        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
            batch = result.read_arrow_batch()
            if batch is not None:
                print(batch.to_pandas().head())
```

## Source & license

- Original dataset: [`xpertsystems/oil012-sample`](https://huggingface.co/datasets/xpertsystems/oil012-sample)
- Source card title / publisher: OIL-012 — Synthetic Rig Sensor IoT Dataset (Sample)
- License: cc-by-nc-4.0 (as declared by the original dataset).