xpertsystems/oil014-sample

OIL-014是一个合成人工举升数据集（样本），由XpertSystems.ai提供的免费预览版本，专为ESP（电潜泵）/气举/抽油杆泵优化机器学习、故障预测、节点分析和干预优先级排序设计。该数据集模拟了全球10个盆地、5种井类型（非常规/致密/重油/海上/碳酸盐岩）的400口井，覆盖60天的操作数据，包含12个关联表格共121,707行数据。核心表格包括井主数据、ESP操作、气举操作、抽油杆泵操作、生产速率、设备健康、节点分析、功耗、故障事件、维护历史、优化建议和人工举升标签。数据生成基于行业标准（如SPE 174021、API RP-11ER等）校准，验证得分100/100（A+级），适用于多种机器学习任务，如故障预测、流体冲击检测、举升类型推荐等。OIL-014 — Synthetic Artificial Lift Dataset (Sample) is a free, schema-identical preview of XpertSystems.ais enterprise artificial lift performance dataset for ESP/Gas Lift/Rod Pump optimization ML, failure prediction, nodal analysis, and intervention prioritization. The sample covers 400 wells across 10 global basins and 5 well classes (unconventional/tight/heavy/offshore/carbonate), simulated over 60 days, with 121,707 rows linked across 12 tables. Key tables include wells master, ESP operations, gas lift operations, rod pump operations, production rates, equipment health, nodal analysis, power consumption, failure events, maintenance history, optimization recommendations, and artificial lift labels. The dataset is calibrated to industry standards (e.g., SPE 174021, API RP-11ER) and validated with a 100.0/100 Grade A+ score, supporting ML tasks such as failure prediction, fluid-pound detection, lift-type recommendation, and more.