Prolonging Wellhead Fatigue Life This paper combines the theoretical nonlinear fatigue accumulation model proposed by huffman and beckman (2013) with decoupled analysis to evaluate the fatigue life of subsea wellhead welds in drilling and completion conditions while comparing the findings with the traditional s–n curve method. This paper presents an integrated approach to comprehensively predict the fatigue damage and reliability of subsea wellhead systems and diagnose the underlying root cause during its service life.
Prolonging Wellhead Fatigue Life To address these limitations, a web based tool hosting machine learning (ml) models was recently developed to assess the wellhead fatigue damage in a less conservative, real time manner and comes at no incremental cost to end users. Due to fatigue related issues, the wellhead system is widely recognized as the “weak link” in conventional well design. to meet the new 2021 norsok standards, it is imperative for operators to take steps to protect and extend wellhead fatigue life. These studies mainly employed finite element or probability analysis methods to evaluate stability, sealing performance, fatigue life, and other aspects of sw systems, with a limited focus on the complete wellhead system. This paper presents a fatigue failure risk analysis approach based on dynamic bayesian networks, aiming to predict the fatigue failure probability of the wellhead during service life.
Subsea Wellhead Fatigue Analysis And Design With Fea These studies mainly employed finite element or probability analysis methods to evaluate stability, sealing performance, fatigue life, and other aspects of sw systems, with a limited focus on the complete wellhead system. This paper presents a fatigue failure risk analysis approach based on dynamic bayesian networks, aiming to predict the fatigue failure probability of the wellhead during service life. In light of the inadequacy of predicted first order fatigue lives, recommendations were made for improving fatigue life prediction through removal of conservatism in the analysis model. When oil and gas operators need to carry out workovers or plug and abandon a deepwater well, a primary concern is how much fatigue life remains in the wellhead. Hence, this paper discusses the state of the art as well as two major methodologies used for fatigue life prediction of structures and mechanical items. The study focuses on the fatigue life assessment of the double wellhead system with suction anchor under drilling conditions, compared with a conventional subsea wellhead system.
Extend Wellhead Fatigue Life In light of the inadequacy of predicted first order fatigue lives, recommendations were made for improving fatigue life prediction through removal of conservatism in the analysis model. When oil and gas operators need to carry out workovers or plug and abandon a deepwater well, a primary concern is how much fatigue life remains in the wellhead. Hence, this paper discusses the state of the art as well as two major methodologies used for fatigue life prediction of structures and mechanical items. The study focuses on the fatigue life assessment of the double wellhead system with suction anchor under drilling conditions, compared with a conventional subsea wellhead system.
Extend Wellhead Fatigue Life Hence, this paper discusses the state of the art as well as two major methodologies used for fatigue life prediction of structures and mechanical items. The study focuses on the fatigue life assessment of the double wellhead system with suction anchor under drilling conditions, compared with a conventional subsea wellhead system.
Comments are closed.