---
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
- production-engineering
- decline-curve-analysis
- arps-decline
- artificial-lift
- reservoir-engineering
- workover-prediction
- water-breakthrough
- xpertsystems
- time-series
- format:tsfile
pretty_name: OIL-013 — Synthetic Production Time-Series Dataset (Sample) (TsFile)
size_categories:
- 100K<n<1M
configs:
- config_name: default
  data_files:
  - split: artificial_lift
    path: artificial_lift.tsfile
  - split: daily_production
    path: daily_production.tsfile
  - split: downtime_events
    path: downtime_events.tsfile
  - split: facility_constraints
    path: facility_constraints.tsfile
  - split: flow_assurance_events
    path: flow_assurance_events.tsfile
  - split: injection_support
    path: injection_support.tsfile
  - split: production_allocations
    path: production_allocations.tsfile
  - split: production_labels
    path: production_labels.tsfile
  - split: reservoir_pressure
    path: reservoir_pressure.tsfile
  - split: stimulation_events
    path: stimulation_events.tsfile
  - split: wells_master
    path: wells_master.tsfile
---

# OIL-013 — Synthetic Production Time-Series Dataset (Sample) (TsFile)

Apache TsFile version of [`xpertsystems/oil013-sample`](https://huggingface.co/datasets/xpertsystems/oil013-sample).

## Overview

A free, schema-identical preview of XpertSystems.ai's enterprise production time-series dataset for decline curve ML, artificial-lift optimization, workover-candidate prediction, and water-breakthrough forecasting. The sample covers **250 wells** across **10 global basins** and **8 asset types**, simulated over **365 days**, with **116,154 rows** including **91,250 daily production records** linked across **11 tables**.

- **Tables:** 11 TsFile table(s), 116,154 rows in total.
  - `artificial_lift`: 13,250 rows, 2020-01-14 00:00:00 → 2022-12-25 00:00:00 (UTC)
  - `daily_production`: 91,250 rows, 2020-01-14 00:00:00 → 2022-12-25 00:00:00 (UTC)
  - `downtime_events`: 491 rows, 2020-02-04 00:00:00 → 2022-11-24 00:00:00 (UTC)
  - `facility_constraints`: 200 rows, 2020-01-01 00:00:00 → 2020-01-01 00:00:00.199000 (UTC)
  - `flow_assurance_events`: 47 rows, 2020-03-20 00:00:00 → 2022-09-09 00:00:00 (UTC)
  - `injection_support`: 40 rows, 2020-09-06 00:00:00 → 2022-08-10 00:00:00 (UTC)
  - `production_allocations`: 625 rows, 1970-01-01 00:00:00 → 1970-01-01 00:00:00.624000 (UTC)
  - `production_labels`: 3,250 rows, 2020-01-14 00:00:00 → 2022-12-21 00:00:00 (UTC)
  - `reservoir_pressure`: 6,750 rows, 2020-01-14 00:00:00 → 2022-12-25 00:00:00 (UTC)
  - `stimulation_events`: 1 rows, 2020-09-11 00:00:00 → 2020-09-11 00:00:00 (UTC)
  - `wells_master`: 250 rows, 1970-01-01 00:00:00 → 1970-01-01 00:00:00.249000 (UTC)

## Schema (TsFile structure)

### `artificial_lift.tsfile`

- **Time** (INT64, milliseconds) — the source `record_date` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (8): `lift_id` (string), `well_id` (string), `lift_type` (string), `esp_frequency_hz` (double), `pump_efficiency` (double), `motor_temperature_f` (double), `vibration_index` (double), `runtime_pct` (double)

### `daily_production.tsfile`

- **Time** (INT64, milliseconds) — the source `production_date` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (16): `prod_id` (string), `well_id` (string), `oil_rate_bopd` (double), `gas_rate_mscfd` (double), `water_rate_bwpd` (double), `water_cut_pct` (double), `gor_scf_bbl` (double), `choke_size_64ths` (double), `tubing_pressure_psi` (double), `casing_pressure_psi` (double), `uptime_fraction` (double), `cumulative_oil_bbl` (double), `cumulative_gas_mscf` (double), `cumulative_water_bbl` (double), `anomaly_flag` (int64), `anomaly_type` (string)

### `downtime_events.tsfile`

- **Time** (INT64, milliseconds) — the source `start_date` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (6): `event_id` (string), `well_id` (string), `downtime_type` (string), `duration_hours` (double), `lost_oil_bbl_est` (double), `root_cause_category` (string)

### `facility_constraints.tsfile`

- **Time** (INT64, milliseconds) — the source `effective_date` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (7): `constraint_id` (string), `facility_id` (string), `field_name` (string), `throughput_limit_bopd` (double), `gas_handling_limit_mscfd` (double), `water_handling_limit_bwpd` (double), `constraint_severity` (string)

### `flow_assurance_events.tsfile`

- **Time** (INT64, milliseconds) — the source `event_date` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (8): `flow_event_id` (string), `well_id` (string), `flow_assurance_type` (string), `scale_index` (double), `paraffin_index` (double), `sand_index` (double), `corrosion_risk_index` (double), `intervention_required_flag` (int64)

### `injection_support.tsfile`

- **Time** (INT64, milliseconds) — the source `record_date` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (8): `inj_id` (string), `injector_id` (string), `producer_id` (string), `field_name` (string), `injection_rate_bwpd` (double), `injection_pressure_psi` (double), `producer_response_lag_days` (int64), `correlation_score` (double)

### `production_allocations.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** (6): `alloc_id` (string), `well_id` (string), `zone_name` (string), `allocation_pct` (double), `allocation_method` (string), `confidence_score` (double)

### `production_labels.tsfile`

- **Time** (INT64, milliseconds) — the source `label_date` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (8): `label_id` (string), `well_id` (string), `forecast_class` (string), `workover_candidate_flag` (int64), `water_breakthrough_flag` (int64), `steep_decline_flag` (int64), `lift_limited_flag` (int64), `next_90d_expected_decline_pct` (double)

### `reservoir_pressure.tsfile`

- **Time** (INT64, milliseconds) — the source `test_date` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (6): `pressure_id` (string), `well_id` (string), `reservoir_pressure_psi` (double), `bhfp_psi` (double), `pressure_drawdown_psi` (double), `pressure_test_quality` (string)

### `stimulation_events.tsfile`

- **Time** (INT64, milliseconds) — the source `event_date` column.
- **TAG**: none — the table is stored as a single device.
- **FIELD** (7): `stim_id` (string), `well_id` (string), `event_type` (string), `frac_stage_count` (int64), `treatment_volume_bbl` (double), `expected_uplift_pct` (double), `actual_uplift_pct` (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** (24): `well_id` (string), `api_like_well_code` (int64), `field_name` (string), `pad_id` (string), `basin_name` (string), `formation_name` (string), `asset_type` (string), `completion_type` (string), `lift_type` (string), `operator_class` (string), `first_production_date` (string), `lateral_length_ft` (int64), `proppant_lb_per_ft` (double), `true_vertical_depth_ft` (int64), `initial_oil_rate_bopd` (double), `initial_gas_rate_mscfd` (double), `initial_water_cut_pct` (double), `initial_gor_scf_bbl` (double), `nominal_decline_rate_annual` (double), `arps_b_factor` (double), `initial_reservoir_pressure_psi` (double), `reservoir_temperature_f` (double), `longitude` (double), `latitude` (double)

## Conversion notes

- One TsFile per source CSV (11 tables) for this oil-well production 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.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/oil013-sample`](https://huggingface.co/datasets/xpertsystems/oil013-sample)
- Source card title / publisher: OIL-013 — Synthetic Production Time-Series Dataset (Sample)
- License: cc-by-nc-4.0 (as declared by the original dataset).