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
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