Title of article :
Identification and ranking risks of horizontal directional drilling for oil & gas wells by using fuzzy analytic network process: A case study for Gachsaran oil field wells
Author/Authors :
Sheikh Aboumasoudi, Abbas Department of Industrial Engineering - Najafabad Branch, Islamic Azad University, Najafabad, Iran , Behvandi, Omid Department of Industrial Engineering - Najafabad Branch, Islamic Azad University, Najafabad, Iran
Pages :
15
From page :
46
To page :
60
Abstract :
Risk ranking of Horizontal Directional Drilling (HDD) for gas and oil wells is a key criterion in the project feasibility, pricing and for introducing a risk management strategy that aims to reduce the number of failures in the installation phase and its negative consequences. HDD is currently widely used in drilling wells in Iran, but research in the area of identification and risks ranking of these projects have not been done so far. Therefore, this research will identify and ranks the HDD risks in the field of Gachsaran as the case study, by helping literature review and drilling experts and using statistical techniques and Multi-Criteria Decision Making (MCDM) methods. The method of the network analysis process is a powerful tool in deciding uncertain topics for ranking the risks. The offered approach allows decision-makers to involve in the ranking process and use linguistic assessment in the ranking of HDD risks.
Keywords :
fuzzy set theory , Horizontal Directional Drilling (HDD) , Analytic Network Process (ANP)
Journal title :
Astroparticle Physics
Serial Year :
2019
Record number :
2451210
Link To Document :
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