xpertsystems/oil033-sample

OIL-033是一个合成原油和产品库存数据集样本，由XpertSystems.ai发布，专注于石油和天然气行业的存储与库存分析。该数据集覆盖235个存储站点，分布在5个EIA PADD对齐区域（包括USGC、中西部、东海岸、西海岸和库欣），涵盖5种存储类型（如储罐场、战略石油储备SPR、炼油厂、终端和浮动储罐）。数据模拟了365天的日常运营，包含6个表格共257,936行数据，用于支持EIA风格的每周库存预测、储罐场利用率优化、SPR运营建模、短缺风险分类、季节性需求模式机器学习、中断事件预测以及PADD区域库存分析等任务。数据集具有质量平衡耦合的每日库存、季节性流入流出调制、4个真实DOE SPR站点以及特征耦合的机器学习标签（如二进制短缺风险和V形优化得分）等独特特征。校准基于行业标准，如EIA报告和API规范，确保数据真实性和实用性。OIL-033 is a synthetic crude oil and refined product inventory dataset sample from XpertSystems.ai, designed for oil and gas storage and inventory analysis. It covers 235 storage sites across 5 EIA PADD-aligned regions (USGC, Midwest, East Coast, West Coast, Cushing) and 5 storage types (Tank Farm, SPR, Refinery, Terminal, Floating) over 365 days of daily operations, with 257,936 rows across 6 tables. The dataset supports EIA-style weekly inventory forecasting, tank farm utilization optimization, SPR operations modeling, shortage risk classification, seasonal demand pattern ML, disruption event prediction, and PADD-regional inventory analytics. Key features include mass-balance-coupled daily inventory with EIA-grade dynamics, seasonal inflow/outflow modulation, 4 real DOE SPR sites (Bryan Mound, Big Hill, West Hackberry, Bayou Choctaw), and feature-coupled ML labels such as binary shortage_risk and V-shape optimization_score. Calibration is based on industry standards like EIA reports and API codes, ensuring realistic and validated data for ML applications.