eCite Digital Repository

Risk-based safety analysis of well integrity operations


Abimbola, M and Khan, FI and Khakzad, N, Risk-based safety analysis of well integrity operations, Safety Science, 84 pp. 149-160. ISSN 0925-7535 (2016) [Refereed Article]

Copyright Statement

Copyright 2015 Elsevier Ltd.

DOI: doi:10.1016/j.ssci.2015.12.009


Assurance of well integrity is critical and important in all stages of operation of oil and gas reservoirs. In this study, well integrity is modeled during casing and cementing operations. Two different approaches are adapted to model potential failure scenarios. The first approach analyzes failure scenarios using bow-tie model which offers a better visual representation of the logical relationships among the contributing factors through Boolean gates. The second approach takes advantage of Bayesian network, both to model conditional dependencies and to perform probability updating. The analysis identified managed pressure drilling system, logging tool, slurry formulation, casing design, casing handling and running method, surge and swab pressures as critical elements of the well integrity model. A diagnostic analysis on the slurry formulation further identified pilot test(s) and the interpretation of the test(s) as key elements to ensuring integrity of cementing operation. Relevant safety functions and inherent safety principles to improve well integrity operations are also explored.

Item Details

Item Type:Refereed Article
Keywords:Bayesian network analysis, blowout, cementing, inherent safety techniques, managed pressure drilling, well integrity, Bayesian networks, blowouts, cementing (shafts), drilling, petroleum reservoir engineering, safety engineering, well drilling
Research Division:Engineering
Research Group:Resources engineering and extractive metallurgy
Research Field:Petroleum and reservoir engineering
Objective Division:Energy
Objective Group:Mining and extraction of energy resources
Objective Field:Oil and gas extraction
UTAS Author:Khan, FI (Professor Faisal Khan)
ID Code:120403
Year Published:2016
Web of Science® Times Cited:34
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-08-23
Last Modified:2017-11-03

Repository Staff Only: item control page