A Decision Support System for Evaluating Success Factors of Projects in the Oil and Gas Industry

Amir Homayoun Sarfaraz, Amir Karbassi Yazdi, Thomas Hanne, Raheleh Sadat Hosseini, Mohammad Reza Moradi Mazhari and Mijanur Rahaman Seikh

Mathematical Problems in Engineering, 2022, vol. 2022, 1-18

Abstract: Oil and gas (O&G) projects have a high social and economic impact in many countries. This study aims to identify the success factors in the O&G industry and to present a framework for evaluating the projects in an uncertain environment. In this study, 197 indicators are identified from a literature review and summarized to 34 indicators. Exploratory factor analysis (EFA) was performed, and seven main factors have been identified as success factors of O&G projects. Confirmatory factor analysis (CFA) confirmed the validity of the measurement model. A two-step fuzzy inference system is proposed to present an evaluation framework for assessing the performance of O&G projects. The hybrid framework was applied for the assessment of five Iranian O&G projects.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:6358562

DOI: 10.1155/2022/6358562

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