Risk identification and assessment with the fuzzy DEMATEL-ANP method in oil and gas projects under uncertainty

Mohammad Khalilzadeh, Hedieh Shakeri, Shakib Zohrehvandi

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

25 Citas (Scopus)

Resumen

Oil and gas projects are integrated with a huge number of uncertainties due to their unique characteristics, complexities and uncertain environment. The aim of this study is to identify and evaluate the main risks of this type of projects based on the PMBOK guide under sanctions and uncertain conditions. The main risks were identified through document analysis which were finally reduced to 17 risks through expert judgments using fuzzy Delphi method. The experts included 15 people with more than ten years' practical experience in the oil and gas projects. The results of confirmatory factor analysis confirmed all risks in terms of statistical population. Then, the interrelations between risks and their importance weights were determined by using hybrid fuzzy DEMATEL-ANP technique. The final results showed that political and economic sanctions have the highest weight, followed by the attraction of foreign investors and the lack of regional infrastructure.
Idioma originalEspañol
Título de la publicación alojadaProcedia Computer Science
Páginas277-284
Número de páginas8
Volumen181
EstadoPublicada - 1 ene. 2021
Publicado de forma externa

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