天然气储气井意外冲击威胁建模

Shawn Smith, A. Fraser, Mari Shironishi, Danny Neville, Daniel Shapiro
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引用次数: 0

摘要

API RP 1171,最近通过参考纳入了美国法规49 CFR 192.12,以及最近对加州法规的修改,要求对地下储水井进行风险评估。已经为SoCalGas在加州的地下储气库开发了一个定量风险评估框架。该框架包括对井口和横向管道的意外冲击威胁的定量模型,包括挖掘、车辆碰撞、起重作业和飞机坠毁(针对第一方、第二方和第三方)造成的损害。2004年,天然气研究所对地下储气库运营商进行了一项行业调查,记录在案的重大泄漏事件中有15%是由于意外撞击威胁造成的。此外,由于事故发生时附近可能有个人,由于意外撞击威胁造成的泄漏可能会带来更严重的后果。在这项工作中,模型改编自现有的管道、核设施和地上管道站的工业模型,通过更新输入以反映地下储气库环境,并校准整体结果以匹配历史地下储气库事件数据。这些模型结合了特定井的属性和测量以及主题专家(SME)的经验和判断,每个模型的关键变量包括:•挖掘损害:挖掘频率(根据特定地点的单次呼叫数据估计)、埋地横向管道的材料和操作特性、覆盖深度•车辆碰撞:井附近的车辆交通(通过对现场道路网络和所有涉及车辆的现场活动进行建模来估计),是否存在障碍物,任何地上横向管道的布局•举升作业:井附近的举升作业频率(通过对所有附近井的未来修井活动进行建模来估计),井口的材料和操作特性,以及任何地上横向管道•飞机事故:本文阐述了对这些意外影响威胁的现场评估结果,并展示了如何根据特定的井况来区分风险。与使用单一的历史事故率相比,该模型捕获了油田内和油田间井之间的风险差异,并有助于估计对特定井进行缓解活动的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling Accidental Impact Threats to Natural Gas Storage Wells
API RP 1171, which was recently incorporated by reference in US regulation 49 CFR 192.12, and the recent changes to the California Code of Regulations have mandated risk assessments be performed for underground storage wells. A quantitative risk assessment framework has been developed for SoCalGas’s underground gas storage sites in California. This framework includes quantitative models for accidental impact threats to the wellhead and lateral piping, including damage from excavations, vehicle collisions, lifting operations, and aircraft crashes (for first, second, and third-parties). In an industry survey of underground storage operators conducted by the Gas Research Institute in 2004, 15% of the recorded significant release incidents were due to accidental impact threats. Additionally, since there are likely individuals in the immediate vicinity when the incidents occur, releases due to accidental impact threats may carry more significant consequences. In this work, models were adapted from existing industry models for pipelines, nuclear facilities, and aboveground piping stations by updating the inputs to reflect an underground gas storage context and calibrating the overall results to match historical underground gas storage incident data. The models incorporate well-specific attributes and measurements as well as subject matter expert (SME) experience and judgement, with key variables for each model including: • Excavation damage: excavation frequency (estimated from site-specific one-call data), material and operational properties of buried lateral piping, depth of cover • Vehicle collisions: vehicle traffic near the well (estimated from modelling the site road network and all site activities involving vehicles), presence of any barriers, the layout of any aboveground lateral piping • Lifting operations: lifting operation frequency near the well (estimated from modelling the future workover activities at all nearby wells), material and operational properties of the wellhead, and any aboveground lateral piping • Aircraft crashes: proximity and orientation relative to nearby airports, amount and type of traffic at the nearby airports, the layout of the lateral piping This paper illustrates the results for field-wide assessments of these accidental impact threats, showing how the risk is differentiated by the specific well context. In contrast to using a single historical incident rate, the models capture the differences in risk between wells within and across fields and can help estimate the effect of performing mitigation activities on specific wells.
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