Improved AHP–TOPSIS model for the comprehensive risk evaluation of oil and gas pipelines

Abstract A comprehensive and objective risk evaluation model of oil and gas pipelines based on an improved analytic hierarchy process (AHP) and technique for order preference by similarity to an ideal solution (TOPSIS) is established to identify potential hazards in time. First, a barrier model and...

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Autores principales: Xia Wang, Qingquan Duan
Formato: article
Lenguaje:EN
Publicado: KeAi Communications Co., Ltd. 2019
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Acceso en línea:https://doaj.org/article/b29e78aec6704d42bbe5553ffbecbbb8
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spelling oai:doaj.org-article:b29e78aec6704d42bbe5553ffbecbbb82021-12-02T11:59:27ZImproved AHP–TOPSIS model for the comprehensive risk evaluation of oil and gas pipelines10.1007/s12182-019-00365-51672-51071995-8226https://doaj.org/article/b29e78aec6704d42bbe5553ffbecbbb82019-09-01T00:00:00Zhttp://link.springer.com/article/10.1007/s12182-019-00365-5https://doaj.org/toc/1672-5107https://doaj.org/toc/1995-8226Abstract A comprehensive and objective risk evaluation model of oil and gas pipelines based on an improved analytic hierarchy process (AHP) and technique for order preference by similarity to an ideal solution (TOPSIS) is established to identify potential hazards in time. First, a barrier model and fault tree analysis are used to establish an index system for oil and gas pipeline risk evaluation on the basis of five important factors: corrosion, external interference, material/construction, natural disasters, and function and operation. Next, the index weight for oil and gas pipeline risk evaluation is computed by applying the improved AHP based on the five-scale method. Then, the TOPSIS of a multi-attribute decision-making theory is studied. The method for determining positive/negative ideal solutions and the normalized equation for benefit/cost indexes is improved to render TOPSIS applicable for the comprehensive risk evaluation of pipelines. The closeness coefficient of oil and gas pipelines is calculated by applying the improved TOPSIS. Finally, the weight and the closeness coefficient are combined to determine the risk level of pipelines. Empirical research using a long-distance pipeline as an example is conducted, and adjustment factors are used to verify the model. Results show that the risk evaluation model of oil and gas pipelines based on the improved AHP–TOPSIS is valuable and feasible. The model comprehensively considers the risk factors of oil and gas pipelines and provides comprehensive, rational, and scientific evaluation results. It represents a new decision-making method for systems engineering in pipeline enterprises and provides a comprehensive understanding of the safety status of oil and gas pipelines. The new system engineering decision-making method is important for preventing oil and gas pipeline accidents.Xia WangQingquan DuanKeAi Communications Co., Ltd.articleImproved AHP–TOPSIS modelRisk evaluationOil and gas pipelinesImproved TOPSISImproved AHPScienceQPetrologyQE420-499ENPetroleum Science, Vol 16, Iss 6, Pp 1479-1492 (2019)
institution DOAJ
collection DOAJ
language EN
topic Improved AHP–TOPSIS model
Risk evaluation
Oil and gas pipelines
Improved TOPSIS
Improved AHP
Science
Q
Petrology
QE420-499
spellingShingle Improved AHP–TOPSIS model
Risk evaluation
Oil and gas pipelines
Improved TOPSIS
Improved AHP
Science
Q
Petrology
QE420-499
Xia Wang
Qingquan Duan
Improved AHP–TOPSIS model for the comprehensive risk evaluation of oil and gas pipelines
description Abstract A comprehensive and objective risk evaluation model of oil and gas pipelines based on an improved analytic hierarchy process (AHP) and technique for order preference by similarity to an ideal solution (TOPSIS) is established to identify potential hazards in time. First, a barrier model and fault tree analysis are used to establish an index system for oil and gas pipeline risk evaluation on the basis of five important factors: corrosion, external interference, material/construction, natural disasters, and function and operation. Next, the index weight for oil and gas pipeline risk evaluation is computed by applying the improved AHP based on the five-scale method. Then, the TOPSIS of a multi-attribute decision-making theory is studied. The method for determining positive/negative ideal solutions and the normalized equation for benefit/cost indexes is improved to render TOPSIS applicable for the comprehensive risk evaluation of pipelines. The closeness coefficient of oil and gas pipelines is calculated by applying the improved TOPSIS. Finally, the weight and the closeness coefficient are combined to determine the risk level of pipelines. Empirical research using a long-distance pipeline as an example is conducted, and adjustment factors are used to verify the model. Results show that the risk evaluation model of oil and gas pipelines based on the improved AHP–TOPSIS is valuable and feasible. The model comprehensively considers the risk factors of oil and gas pipelines and provides comprehensive, rational, and scientific evaluation results. It represents a new decision-making method for systems engineering in pipeline enterprises and provides a comprehensive understanding of the safety status of oil and gas pipelines. The new system engineering decision-making method is important for preventing oil and gas pipeline accidents.
format article
author Xia Wang
Qingquan Duan
author_facet Xia Wang
Qingquan Duan
author_sort Xia Wang
title Improved AHP–TOPSIS model for the comprehensive risk evaluation of oil and gas pipelines
title_short Improved AHP–TOPSIS model for the comprehensive risk evaluation of oil and gas pipelines
title_full Improved AHP–TOPSIS model for the comprehensive risk evaluation of oil and gas pipelines
title_fullStr Improved AHP–TOPSIS model for the comprehensive risk evaluation of oil and gas pipelines
title_full_unstemmed Improved AHP–TOPSIS model for the comprehensive risk evaluation of oil and gas pipelines
title_sort improved ahp–topsis model for the comprehensive risk evaluation of oil and gas pipelines
publisher KeAi Communications Co., Ltd.
publishDate 2019
url https://doaj.org/article/b29e78aec6704d42bbe5553ffbecbbb8
work_keys_str_mv AT xiawang improvedahptopsismodelforthecomprehensiveriskevaluationofoilandgaspipelines
AT qingquanduan improvedahptopsismodelforthecomprehensiveriskevaluationofoilandgaspipelines
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