管道地质灾害管理的分析方法

O. Huisman, M. Rizkalla, M. Tindall, Alejandro Reyes, Erika Santana
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引用次数: 1

摘要

碳氢化合物排放对水体的污染是我们工业中最不希望发生的事件之一。不幸的是,在过去的几年里,全球发生了几起重大事件,地质灾害在其中许多事件中发挥了重要作用。事实上,管道地质灾害管理是一个复杂的、多学科的过程,严重依赖于数据整合和专家判断。目前的工作提出了一种方法,可以通过评估可能影响水体和邻近区域的潜在碳氢化合物释放机制来识别关键区域,包括:通道段管道故障、接近斜坡管道故障和泄漏路径影响。地质模型是基于数字高程模型(DEM)、地表地质和路线几何形状等数据集构建的。还可以导出其他数据集来表示诸如流域和斜坡等特征。整个框架在一个数据和完整性管理平台上实施,该平台不仅支持空间、地质和一般完整性管理数据(包括多个ILI数据集)的集成,还可以执行稳定性分析等过程,并在GIS(地理信息系统)环境中提供结果的可视化。还促进了半定量和定量风险评估的执行,以及制定重建计划。为了说明方法应用和平台功能,本文给出了一个匿名但真实的案例研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Analytical Approach for Pipeline Geohazard Management
Contamination of waterbodies as a result of hydrocarbon releases is one of the most undesirable events in our industry. Unfortunately, over the past few years, several major events have occurred around the globe, and geohazards have played a major role in many of these. Indeed, Pipeline Geohazard Management is a complex, multi-disciplinary process, heavily dependent on data integration and expert judgment. The current work presents a methodology that allows the identification of critical zones by assessing potential hydrocarbon release mechanisms that could affect waterbodies and adjacent areas, including: channel section pipeline failures, approach slope pipeline failures and spill path effects. The geological model is constructed based on datasets such as a digital elevation model (DEM), surficial geology and route geometry form. Additional datasets can also be derived to represent features such as drainage basins and slopes. The entire framework is being implemented on a data and integrity management platform that not only supports the integration of spatial, geological and general integrity management data (including multiple ILI data sets) but can also execute processes, such as stability analysis, and provide visualizations of results within a GIS (Geographic Information System) environment. Execution of semi-quantitative and quantitative risk assessments is also facilitated, as well as the elaboration of rehabilitation plans. To illustrate the methodology application and the platform capabilities, an anonymized, but real, case study is presented.
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