| --- |
| 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). |
|
|
