1. A model for risk probability in Iraqi petroleum sector by fuzzy logic.
- Author
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Jabbar, Noor A. Abdul and Breesm, Hatam K.
- Subjects
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PETROLEUM , *LITERATURE reviews , *PETROLEUM prospecting , *PROBABILITY theory , *RISK assessment , *FUZZY logic , *ESTIMATES - Abstract
This paper aims to propose a decision tool that helps estimate the risk probability in the petroleum sector in Iraq, which has many benefits for identifying the most important factor. This model was developed by using the relative importance index (RII) method incorporated into fuzzy Logic. An extensive literature review was conducted, and a questionnaire was distributed to the private and government sectors to scan all possible risks in the petroleum sector. As a result, forty–eight risks in the petroleum sector were identified and categorized into four groups: operational risks, financial and administrative risks, economic and political risks, and potential risks. Also, the questionnaire results were analyzed using the relative importance index. The ranking of the groups and factors was demonstrated according to their level of effect on risk. Finally, a fuzzy assessment model was constructed and tested being appropriate to identify the probability of risk in the Iraqi petroleum sector to assess and estimate risk. Oil exploration company, one of the associations of the ministry of oil in Iraq, has been taken as a case study of this research to determine the risks and validate the model. This aim was accomplished by using the semi-quantitative risk assessment method and by introducing the concept of risk degree according to the assessment of risk and vulnerability. After summarizing the pandemic impact information on the oil projects from the Iraqi ministry of oil, a risk assessing index system was established. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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