美国墨西哥湾包含一个复杂的现有网络,退役,废弃的石油和天然气管道,在自然设计的海上系统中容易受到许多压力源的影响,包括腐蚀,环境危害,人为错误。这些结构的年龄,再加上极端天气事件的强度和发生因气候变化而增加,已导致有害的环境和运营影响,如碳氢化合物释放事件和管道损坏。为了支持管道基础设施完整性的可重用性评估,补救,和风险预防,开发并发布了美国墨西哥湾管道和报告的事件数据集。这些数据集,除了支持高级分析,是为了通知监管机构,工业,和研究利益相关者。它们包含超过490个与结构信息相关的属性,事件报告,环境负荷统计,海底因素,和潜在的地质灾害,所有这些都是空间上的,在某些情况下,暂时与超过89,000个石油和天然气管道位置相匹配。属性是从公开获取或派生的,可靠的资源,并使用手动操作和自定义脚本的组合进行处理,包括使用超级计算资源的大数据处理。生成的数据集包括空间地理数据库,表格文件,和元数据。这些数据集可通过EnergyDataeXchange®公开获得,由美国能源部国家能源技术实验室开发的精选在线数据和研究图书馆和实验室。本文介绍了数据集的内容,详细说明处理和策展中涉及的方法,并建议应用数据来告知和减轻与墨西哥湾海上管道基础设施相关的风险。
The U.S. Gulf of Mexico contains a complex network of existing, decommissioned, and abandoned oil and gas pipelines, which are susceptible to a number of stressors in the natural-engineered offshore system including corrosion, environmental hazards, and human error. The age of these structures, coupled with extreme weather events increasing in intensity and occurrence from climate change, have resulted in detrimental environmental and operational impacts such as hydrocarbon release events and pipeline damage. To support the evaluation of pipeline infrastructure integrity for reusability, remediation, and risk prevention, the U.S. Gulf of Mexico Pipeline and Reported Incident Datasets were developed and published. These datasets, in addition to supporting advanced analytics, were constructed to inform regulatory, industry, and research stakeholders. They encompass more than 490 attributes relating to structural information, incident reports, environmental loading statistics, seafloor factors, and potential geohazards, all of which have been spatially, and in some cases temporally matched to more than 89,000 oil and gas pipeline locations. Attributes were acquired or derived from publicly available, credible resources, and were processed using a combination of manual efforts and customized scripts, including big data processing using supercomputing resources. The resulting datasets comprise a spatial geodatabase, tabular files, and metadata. These datasets are publicly available through the Energy Data eXchange®, a curated online data and research library and laboratory developed by the U.S. Department of Energy\'s National Energy Technology Laboratory. This article describes the contents of the datasets, details the methods involved in processing and curation, and suggests application of the data to inform and mitigate risk associated with offshore pipeline infrastructure in the Gulf of Mexico.