comparative assessment

比较评估
  • 文章类型: Journal Article
    北海的许多石油和天然气(O&G)油田已经生产了其经济可采储量,并已进入退役阶段或接近停止生产。随后的O&G退役过程涉及一系列具有特定利益和优先事项的利益相关者。该过程的输入范围突出了开发多标准决策框架以帮助指导决策过程的必要性。这项研究提出了自下而上的经济配方,环境,和安全风险标准,以支持北海O&G管道退役项目比较评估(CA)中的多标准决策分析。该方法适应了O&G行业的当前指南,并考虑了一系列参数来提供成本估算,能源使用,温室气体排放,和安全风险。为了验证所提出的自下而上公式的有效性,布伦特油田最长的石油出口管道,选择PL001/N0501作为案例研究。数值结果表明,从拟议方法获得的结果与行业技术文件中报告的结果一致。在大多数情况下,这些公式提供的估计成本差异不到10%,能源使用,排放,和安全风险。基于提出的多准则公式,该研究还提出了在海洋模拟器系统中使用身临其境的决策环境,以帮助告知利益相关者的决策过程。
    Many Oil and Gas (O&G) fields in the North Sea have produced their economically recoverable reserves and have entered the decommissioning phase or are close to cessation of production. The subsequent O&G decommissioning process involves a range of stakeholders with specific interests and priorities. This range of inputs to the process highlights the necessity for the development of multi-criteria decision frameworks to help guide the decision-making process. This study presents bottom-up formulations for the economic, environmental, and safety risk criteria to support the multi-criteria decision analysis within the Comparative Assessment (CA) of O&G pipeline decommissioning projects in the North Sea. The approach adapts current guidelines in the O&G industry and considers a range of parameters to provide estimations for the costs, energy usage, greenhouse gas emissions, and safety risks. To verify the effectiveness of the proposed bottom-up formulations, the longest oil export pipeline in the Brent field, PL001/N0501 is selected as a case study. The numerical results revealed the consistency of the results obtained from the proposed approach with those reported in the technical documents by industry. In most cases, the formulations provide estimates with less than 10% differences for the costs, energy usage, emissions, and safety risks. Based on the proposed multi-criteria formulations, the study also presents the use of an immersive decision-making environment within a marine simulator system to help inform the decision-making process by stakeholders.
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