Ranking and Analysis of the Interaction among Factors Influencing Well Control Barriers in the Drilling Operation using the Hybrid Multi Criteria Decision Making Model with DANP Approach

Document Type : Original Article

Authors

1 Department of Environmental Science and Engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran

2 Department of Environmental Science and engineering, West Tehran Branch, Islamic Azad University, Tehran, Iran.

3 3 Institute of Petroleum Engineering, College of Engineering, University of Tehran, Iran

4 Department of Environment, Damavand Branch, Islamic Azad University, Damavand, Iran

5 Department of Safety Engineering, Faculty of Health, Safety and Environment, Shahid Beheshti University, Tehran, Iran

Abstract

Blowout is an uncontrolled flow of reservoir fluids into wellbore after the Well Barriers (WBs) have failed. It can lead to catastrophic consequences such as an explosion, human casualties, loss of equipment, and environmental pollution. There is an urgent need to analyze interdependencies among WB and improving their safety for the prevention of blowouts. Policymaking, operational, personal, and mechanical factors have been identified and described as WB performance indicators using a bow-tie approach in previous research. In this study, the DEMATEL- based ANP (DANP) method is employed to determine the interdependency and the relative importance of these factors, and to determine the appropriate strategy for the risk mitigation of a blowout.
The results show that, “policymaking” is the most important factor because it has the highest rate of the influence (R+D=0.965) and high interrelationship with other factors. Furthermore, the mechanical factor with the highest value of causality (R-D=0.268) mostly affects other factors and operational factor with the lowest value of causality (R-D=-0.424) is influenced by other factors. Based on the results of ANP method, “operational factors” is the first priority among the main factors, and “hydrostatic head”, “well integrity”, “well monitoring”, “emergency management” and “decreased risk” sub-factors are respectively the first to fifth priorities were according to their weight. Considering the greater interaction of the policymaking factor with other factors, If decision makers consider the mechanical factor as " affective factor" and a result its synergistic effect on the operational as "effective factor" can be a significant success in improving the performance of WBs.

Keywords


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