xpertsystems/oil043-sample

OIL-043是一个合成场景模拟数据集样本，专为石油天然气行业的决策支持人工智能、业务连续性建模、企业风险管理（ERM）和高管级决策支持训练而设计。该数据集由XpertSystems.ai构建，包含12个CSV表格，围绕scenario_id主键组织，覆盖价格冲击、运营中断、设备故障链、生产影响、供应链中断、库存消耗、物流约束、网络攻击场景、应急响应、市场恢复时间线以及预建的机器学习标签（如中断概率、弹性评分、财务影响和决策优先级）。样本版本包含约750个设施和8,000个场景，数据总量约123,000行。数据集基于多个公开参考标准校准，如IPIECA操作风险框架、IEA黑天鹅场景库、ISO 14224设备故障模式分类等，并附带验证记分卡确保数据质量。主要用例包括决策支持AI训练、企业风险评分、多模态场景影响建模、级联故障建模、网络物理影响估计、供应链压力测试和黑天鹅罕见事件建模等。数据集采用CC-BY-NC-4.0许可证（样本），完整产品需商业许可。OIL-043 is a synthetic scenario simulation dataset sample specifically designed for training AI-powered decision support systems, business continuity modeling, enterprise risk management (ERM), and executive-level decision support in the oil and gas industry. Constructed by XpertSystems.ai, the dataset comprises 12 CSV tables organized around the scenario_id primary key, covering price shocks, operational disruptions, equipment failure chains, production impacts, supply chain disruptions, inventory depletion, logistics constraints, cyber attack scenarios, emergency response, market recovery timelines, and pre-built machine learning labels including disruption probability, resilience score, financial impact, and decision priority. The sample version contains approximately 750 facilities and 8,000 scenarios, with a total of around 123,000 data rows. The dataset is calibrated against multiple publicly available reference standards, including the IPIECA Operational Risk Framework, the IEA Black Swan Scenario Repository, ISO 14224 Equipment Failure Mode Classification, among others, and is accompanied by a validation scorecard to ensure data quality. Its primary use cases include AI training for decision support, enterprise risk scoring, multi-modal scenario impact modeling, cascading failure modeling, cyber-physical impact estimation, supply chain stress testing, and black swan rare event modeling, among others. The dataset is licensed under CC-BY-NC-4.0 for the sample version, while a commercial license is required for the full product.