xpertsystems/oil007-sample

OIL-007 — 合成钻井参数数据集（样本）是一个免费、模式相同的预览版本，基于XpertSystems.ai的企业级钻井参数数据集，用于ROP优化、MSE分析、功能障碍检测和钻井过程机器学习。该样本覆盖全球11个盆地的100口井，涵盖12种井类型，包含220,871行高频率钻井遥测数据，分布在9个表格中。数据集包括井主数据、钻井时间序列、泥浆特性、水力日志、振动频谱、MSE日志、钻头磨损日志、钻井事件和钻井标签，适用于回归、分类、时间序列预测和多表关系机器学习等用例。数据经过行业标准校准，具有可重复性，但样本在时间序列降采样、深度限制等方面存在规模限制。

OIL-007 — Synthetic Drilling Parameters Dataset (Sample) is a free, schema-identical preview of XpertSystems.ais enterprise drilling-parameters dataset for ROP optimization, MSE analysis, dysfunction detection, and drilling-process ML. The sample covers 100 wells across 11 global basins and 12 well types with 220,871 rows of high-cadence drilling telemetry linked across 9 tables. It includes well master data, drilling time series, mud properties, hydraulics logs, vibration spectra, MSE logs, bit wear logs, drilling events, and drilling labels, suitable for use cases such as regression, classification, time-series forecasting, and multi-table relational ML. The data is calibrated to industry standards and reproducible, though the sample has limitations in time-series decimation, depth capping, and scale.