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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
* A licensee may deviate from the minimum requirements without specific AER approval if no royalty, equity, or reservoir engineering concerns are associated with the volumes being measured and the licensee is able to demonstrate that the alternative measurement equipment and/or procedures will provide measurement accur...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
* The proration factor is multiplied by the well's estimated production to determine the well's actual monthly production. ## 1.4 Single Point Measurement Uncertainty "Single point measurement uncertainty" relates to the limits applicable to equipment and/or procedures used to determine a single-phase specific volume...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
1.6.1 Example Calculation Determination of single point measurement uncertainty for well oil (proration battery) using “root sum square” methodology: Individual uncertainties from historical AER research: For oil/emulsion measurement, Oil meter uncertainty = 0.5% (typical manufacturer's specification) Meter proving...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
**Figure 1.1** Total battery/facility oil (delivery point measurement) Maximum uncertainty of monthly volume = N/A The uncertainty of the monthly volume will vary, depending upon the number of individual measurements that are combined to yield the total monthly volume. Single point measurement uncertainty: Delivery...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
The royalty trigger point for oil is at the wellhead; thus, delivery point measurements are required at the following locations: * facility dispositions * trucked-in receipts * pipeline receipts * sales * Lease Automatic Custody Transfer (LACT) Excluded: Test points and group points if they are not used for accou...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
Maximum uncertainty of monthly volume (M) $$ \begin{align*} &> 16.9 \ 10^3 \ \mathrm{m}^3/\mathrm{d} = 5.0\% \\ &\le 16.9 \ 10^3 \ \mathrm{m}^3/\mathrm{d} \text{ but } > 0.50 \ 10^3 \ \mathrm{m}^3/\mathrm{d} = 10.0\% \\ &\le 0.50 \ 10^3 \ \mathrm{m}^3/\mathrm{d} = 20.0\% \end{align*} $$ Note that M is dependent upon ...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
**Figure 1.3** Total battery water Maximum uncertainty of monthly volume: $$> 50 \text{ m}^3\text{/month} = 5.0\%$$ $$\leq 50 \text{ m}^3\text{/month} = 20.0\%$$ Single point measurement uncertainty = N/A Total battery water may be determined by measurement or estimation, depending on production rates, so no basic...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
**Figure 1.4 Well oil (proration battery)** Single point measurement uncertainty: All classes = 2.0% Maximum uncertainty of monthly volume (M): Class 1 (high) > 30 m³/d = 5.0% Class 2 (medium) ≤ 30 m³/d but > 6 m³/d = 10.0% Class 3 (low) ≤ 6 m³/d but > 2 m³/d = 20.0% Class 4 (stripper) ≤ 2 m³/d = 40.0% M is depend...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
For figure 1.5, **m** = single point measurement uncertainty **Figure 1.5 Well gas (proration battery)** Single point measurement uncertainty: $$ \begin{align*} &> 0.50 \ 10^3 \text{ m}^3/\text{d} = 3.0\% \\ &\le 0.50 \ 10^3 \text{ m}^3/\text{d} = 10.0\% \end{align*} $$ Maximum uncertainty of monthly volume (M): $...
[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2025-10-25T01:21:14.526682", "prompt_mode": "ocr"}]
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
volume may include estimates for solution gas dissolved in the test oil volume (gas-in-solution [GIS]), which may add to the monthly uncertainty. At the highest gas production rates, it is expected that the use of estimates will be minimal or at least have a minor impact on the accuracy of the total monthly gas volume,...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
Rather than being determined by continuous measurement, monthly oil well water production volumes are estimated from well tests and corrected by the use of proration factors to result in “actual” volumes. The water rates determined during the well tests may be inferred from determining the water content of emulsion sam...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
Therefore, a stringent expectation is set for the single point measurement uncertainty. In some cases, this type of gas may be delivered to other plants for further processing or to injection facilities; thus, delivery point measurements are required at the following locations: * gas plant dispositions * sales to dow...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
Maximum uncertainty of monthly volume = N/A The uncertainty of the monthly volume will vary, depending upon the number of individual measurements that are combined to yield the total monthly volume. The term “delivery point measurement” for hydrocarbon liquids refers to the point at which the hydrocarbon liquid produ...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
**Figure 1.9** Plant inlet or total battery/group gas Maximum uncertainty of monthly volume = 5.0% Single point measurement uncertainty = 3.0% Plant inlet gas or total battery/group gas is typically unprocessed gas that may vary in composition and may contain entrained liquids. The total reported gas volume could re...
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
The equipment and/or procedures used to determine the measured gas volumes must be capable of meeting a 3.0 per cent single point measurement uncertainty. (iv) Plant inlet or total battery/group condensate (recombined) For figure 1.10, m = single point measurement uncertainty **Figure 1.10 Plant inlet or total batt...
[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2025-10-25T01:21:14.526682", "prompt_mode": "ocr"}]
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
Plant inlet condensate is typically separated from the inlet stream and sent through the plant for further processing. For reporting purposes, the gas equivalent of the plant inlet condensate is included in the total plant inlet gas volume. If total battery/group condensate upstream of the plant inlet is separated and ...
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17
Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
For all upstream oil and gas facilities such as well sites, gas plants, batteries, and compressor sites, operators may estimate fuel gas use volumes for sites with an annual average fuel gas use of 0.50 10³ m³/d or less. Therefore, the maximum uncertainty of the monthly volume is set at 20.0 per cent. For any site that...
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18
Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
and vented volumes per facility exceed 0.5 10³ m³/d (excluding pilot, purge, or dilution gas) must be metered. Effective January 1, 2020, uncombusted gas released to the atmosphere that is not fugitive emissions must be reported as vent gas. Sites requiring flare/vent gas metering may estimate up to 0.50 10³ m³/d. Fl...
[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2025-10-25T01:21:14.526682", "prompt_mode": "ocr"}]
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
Acid gas usually contains a great deal of water vapour and has other conditions associated with it, such as very low pressure that affects measurement accuracy. Therefore, the single point measurement uncertainty is set at 10.0 per cent. When the acid gas is compressed and then injected into a well, the single point m...
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20
Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
**Figure 1.15 Well gas (well site separation)** Maximum uncertainty of monthly volume: $$ \begin{align*} &> 16.9 \ 10^3 \text{ m}^3/\text{d} = 5.0\% \\ &\le 16.9 \ 10^3 \text{ m}^3/\text{d} = 10.0\% \end{align*} $$ Single point measurement uncertainty = 3.0% If production components from gas wells are separated and...
[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2025-10-25T01:21:14.526682", "prompt_mode": "ocr"}]
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Directive017.pdf
/home/dck/Programming/ducklake/vlm_llm_doc_processing/pdfs/Directive017.pdf
21
Figure 1.16 Well gas (effluent proration battery) Figure 1.17 Well gas (southeastern Alberta or other approved proration battery) Maximum uncertainty of monthly volume = 15.0% Single point measurement uncertainty = 3.0% If production components from gas wells are not separated and continuously measured, the gas wel...
[{"model_id": "rednote-hilab/dots.ocr", "column_name": "markdown", "timestamp": "2025-10-25T01:21:14.526682", "prompt_mode": "ocr"}]

Document OCR using dots.ocr

This dataset contains OCR results from images in stckmn/ocr-input-Directive017-1761355097 using DoTS.ocr, a compact 1.7B multilingual model.

Processing Details

Configuration

  • Image Column: image
  • Output Column: markdown
  • Dataset Split: train
  • Batch Size: 256
  • Prompt Mode: ocr
  • Max Model Length: 8,192 tokens
  • Max Output Tokens: 8,192
  • GPU Memory Utilization: 80.0%

Model Information

DoTS.ocr is a compact multilingual document parsing model that excels at:

  • 🌍 100+ Languages - Multilingual document support
  • 📊 Table extraction - Structured data recognition
  • 📐 Formulas - Mathematical notation preservation
  • 📝 Layout-aware - Reading order and structure preservation
  • 🎯 Compact - Only 1.7B parameters

Dataset Structure

The dataset contains all original columns plus:

  • markdown: The extracted text in markdown format
  • inference_info: JSON list tracking all OCR models applied to this dataset

Usage

from datasets import load_dataset
import json

# Load the dataset
dataset = load_dataset("{output_dataset_id}", split="train")

# Access the markdown text
for example in dataset:
    print(example["markdown"])
    break

# View all OCR models applied to this dataset
inference_info = json.loads(dataset[0]["inference_info"])
for info in inference_info:
    print(f"Column: {info['column_name']} - Model: {info['model_id']}")

Reproduction

This dataset was generated using the uv-scripts/ocr DoTS OCR script:

uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/dots-ocr.py \
    stckmn/ocr-input-Directive017-1761355097 \
    <output-dataset> \
    --image-column image \
    --batch-size 256 \
    --prompt-mode ocr \
    --max-model-len 8192 \
    --max-tokens 8192 \
    --gpu-memory-utilization 0.8

Generated with 🤖 UV Scripts

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