A DOOBN based approach for dynamic failure assessment of CO2 flooding injection string system

Xinhong Li, Kai Yu, Sihan Li, Peihua Liu and Guoming Chen

Reliability Engineering and System Safety, 2025, vol. 262, issue C

Abstract: The failure of CO2 flooding injection string system including tubing, casing and packer, can lead to the malfunctions of oil well. This paper develops a structural model for dynamic failure assessment of CO2 flooding injection string system, which is implemented with dynamic object-oriented Bayesian network (DOOBN) and hidden Markov model (HMM). A DOOBN model is developed to present the failure scenario of CO2 flooding injection string system. It is quantified by HMM to estimate the state transition probabilities among a set of risk factors. Based on the developed model, dynamic failure probabilities of CO2 flooding injection string system are estimated throughout the service life, and the critical causes leading to string system failure are extracted to develop the risk mitigation strategies. A case study is implemented to illustrate the present study, and the outcomes of this study can support risk management of CO2 flooding injection string system.

Keywords: CO2 flooding injection string; DOOBN; Dynamic failure assessment; risk management (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:262:y:2025:i:c:s0951832025004545

DOI: 10.1016/j.ress.2025.111253

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