---
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
- decline-curve-analysis
- arps-decline
- production-forecasting
- eur-estimation
- reserve-classification
- spe-prms
- xpertsystems
- time-series
- format:tsfile
pretty_name: OIL-016 — Synthetic Well Decline Curve Dataset (Sample) (TsFile)
size_categories:
- 100K<n<1M
configs:
- config_name: default
  data_files:
  - split: artificial_lift_events
    path: artificial_lift_events.tsfile
  - split: decline_parameters
    path: decline_parameters.tsfile
  - split: eur_forecasts
    path: eur_forecasts.tsfile
  - split: pressure_depletion
    path: pressure_depletion.tsfile
  - split: production_interruptions
    path: production_interruptions.tsfile
  - split: production_timeseries
    path: production_timeseries.tsfile
  - split: wells_master
    path: wells_master.tsfile
---

# OIL-016 — Synthetic Well Decline Curve Dataset (Sample) (TsFile)

Apache TsFile version of [`xpertsystems/oil016-sample`](https://huggingface.co/datasets/xpertsystems/oil016-sample).

## Overview

A free, schema-identical preview of XpertSystems.ai's enterprise well decline- curve dataset for Arps DCA ML, EUR forecasting, reserve classification, and long-horizon production analytics. The sample covers **500 wells** across **6 global basins**, simulated over **360 months (30 years)**, with **361,809 rows** including **180,000 monthly production records** linked across **7 tables**.

- **Tables:** 7 TsFile table(s), 361,809 rows in total.
  - `artificial_lift_events`: 213 rows, 2010-09-22 00:00:00 → 2027-03-27 00:00:00 (UTC)
  - `decline_parameters`: 500 rows, 1970-01-01 00:00:00 → 1970-01-01 00:00:00.499000 (UTC)
  - `eur_forecasts`: 500 rows, 1970-01-01 00:00:00 → 1970-01-01 00:00:00.499000 (UTC)
  - `pressure_depletion`: 180,000 rows, 2010-01-04 00:00:00 → 2053-08-09 00:00:00 (UTC)
  - `production_interruptions`: 96 rows, 1970-01-01 00:00:00 → 1970-01-01 00:00:00.095000 (UTC)
  - `production_timeseries`: 180,000 rows, 2010-01-04 00:00:00 → 2053-08-09 00:00:00 (UTC)
  - `wells_master`: 500 rows, 1970-01-01 00:00:00 → 1970-01-01 00:00:00.499000 (UTC)

## Schema (TsFile structure)

### `artificial_lift_events.tsfile`

- **Time** (INT64, milliseconds) — the source `install_date` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (3): `well_id` (string), `lift_type` (string), `efficiency_factor` (double)

### `decline_parameters.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** (5): `well_id` (string), `decline_model` (string), `qi_bpd` (double), `di` (double), `b_factor` (double)

### `eur_forecasts.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** (3): `well_id` (string), `eur_oil_bbl` (double), `reserve_class` (string)

### `pressure_depletion.tsfile`

- **Time** (INT64, milliseconds) — the source `production_date` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (3): `well_id` (string), `reservoir_pressure_psi` (double), `flowing_bhp_psi` (double)

### `production_interruptions.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** (3): `well_id` (string), `event_type` (string), `downtime_days` (int64)

### `production_timeseries.tsfile`

- **Time** (INT64, milliseconds) — the source `production_date` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (4): `well_id` (string), `oil_bbl` (double), `gas_mcf` (double), `water_bbl` (double)

### `wells_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): `well_id` (string), `basin_name` (string), `formation_name` (string), `completion_date` (string), `lateral_length_ft` (int64), `decline_model` (string), `qi_bpd` (double), `di` (double), `b_factor` (double)

## Conversion notes

- One TsFile per source CSV (7 tables) for this well decline and pressure 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.

## 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("artificial_lift_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/oil016-sample`](https://huggingface.co/datasets/xpertsystems/oil016-sample)
- Source card title / publisher: OIL-016 — Synthetic Well Decline Curve Dataset (Sample)
- License: cc-by-nc-4.0 (as declared by the original dataset).