Rigless well abandonment remediation in the shallow water U.S. Gulf of Mexico

Kaiser, Mark J.

doi:10.1016/j.petrol.2017.01.004

Cited by 27 publications

(2 citation statements)

References 27 publications

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“…When several wells are P&A'd together, making use of one or several available specialized vessels, we call this a P&A campaign. Even though P&A operations have been conducted for a long time (Calvert & Smith, 1994), the focus on P&A has increased during recent years due to the large number of offshore wells that are approaching the end of their life-time in established areas such as the North Sea and the Gulf of Mexico (Khalifeh et al, 2013;Kaiser, 2017). As P&A operations can be very time-consuming and costly, it is of interest to optimize the P&A process as much as possible.…”

Section: Introductionmentioning

confidence: 99%

Vehicle routing with endogenous learning: Application to offshore plug and abandonment campaign planning

Bakker

Wang

Gounaris

2021

European Journal of Operational Research

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Section: Introductionmentioning

confidence: 99%

Vehicle routing with endogenous learning: Application to offshore plug and abandonment campaign planning

Bakker

Wang

Gounaris

2021

European Journal of Operational Research

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“…Although, few types of research have been conducted to assess the safety risks of well P&A (Kaiser, 2017;Ouyang and Allen, 2017). However, most of these previous works have focused on data mining or on pilot experiments to describe the well characteristics whereas no consideration was given to data uncertainty and events dependencies.…”

Section: Introductionmentioning

confidence: 99%

Safety analysis of plugging and abandonment of oil and gas wells in uncertain conditions with limited data

Babaleye

Kurt

Khan

2019

Reliability Engineering & System Safety

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Well plugging and abandonment are necessitated to ensure safe closure of a non-producing offshore asset. Little or no condition monitoring is done after the abandonment operation, and data are often unavailable to analyze the risks of potential leakage. It is therefore essential to capture all inherent and evolving hazards associated with this activity before its implementation. The current probabilistic risk analysis approaches such as fault tree, event tree and bowtie though able to model potential leak scenarios; these approaches have limited capabilities to handle evolving well conditions and data unavailability. Many of the barriers of an abandoned well deteriorates over time and are dependent on external conditions, making it necessary to consider advanced approaches to model potential leakage risk. This paper presents a Bayesian network-based model for well plugging and abandonment. The proposed model able to handle evolving conditions of the barriers, their failure dependence and, also uncertainty in the data. The model uses advanced logic conditions such as Noisy-OR and leaky Noisy-OR to define the condition and data dependency. The proposed model is explained and tested on a case study from the Elgin platform's well plugging and abandonment failure.

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Study on Influence of Mechanical Parameters of Cement Plug on Sealing Integrity of Abandoned Wellbore

Jiang

Nie

et al. 2019

Computational and Experimental Simulations in Engineering

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Rigless well abandonment remediation in the shallow water U.S. Gulf of Mexico

Cited by 27 publications

References 27 publications

Vehicle routing with endogenous learning: Application to offshore plug and abandonment campaign planning

Vehicle routing with endogenous learning: Application to offshore plug and abandonment campaign planning

Safety analysis of plugging and abandonment of oil and gas wells in uncertain conditions with limited data

Study on Influence of Mechanical Parameters of Cement Plug on Sealing Integrity of Abandoned Wellbore

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