xpertsystems/oil024-sample

OIL-024合成管道流动数据集（样本）是一个免费的预览版本，专为液压建模、泄漏检测、流动保障、SCADA遥测分析、泵/压缩机优化和管道可靠性机器学习而设计。该样本覆盖55条管道、369个段，涉及10种管道类型、10种流体家族、10个全球区域和7种地形类型，包含150,137行数据，分布在12个表中，时间跨度为7天，时间序列间隔为180分钟。数据集基于Swamee-Jain（1976）摩擦因子、Darcy-Weisbach（1857）压降、牛顿冷却热模型和Sloan-Koh水合物物理等强物理锚定方法生成，适用于管道操作的多方面分析。OIL-024 — Synthetic Pipeline Flow Dataset (Sample) is a free, schema-identical preview of XpertSystems.ais enterprise pipeline flow dataset for hydraulic modeling, leak detection, flow assurance, SCADA telemetry analytics, pump/compressor optimization, and pipeline reliability ML. The sample covers 55 pipelines with 369 segments across 10 pipeline types, 10 fluid families, 10 global regions, and 7 terrain types, with 150,137 rows linked across 12 tables spanning 7 days of 180-minute time-series. It features strong hydraulic-physics anchoring, including full Swamee-Jain (1976) friction factor, Darcy-Weisbach (1857) pressure drop, Newtons cooling thermal model, and Sloan-Koh hydrate physics implemented end-to-end.