Intelligent decisions to stop or mitigate lost circulation based on machine learning

Ahmed K. Abbas, Ali A. Bashikh, Hayder Abbas and Haider Q. Mohammed

Energy, 2019, vol. 183, issue C, 1104-1113

Abstract: Lost circulation is one of the frequent challenges encountered during the drilling of oil and gas wells. It is detrimental because it can not only increase non-productive time and operational cost but also lead to other safety hazards such as wellbore instability, pipe sticking, and blow out. However, selecting the most effective treatment may still be regarded as an ill-structured issue since it does not have a unique solution. Therefore, the objective of this study is to develop an expert system that can screen drilling operation parameters and drilling fluid characteristics required to diagnose the lost circulation problem correctly and suggest the most appropriate solution for the issue at hand.

Keywords: Lost circulation; Intelligent decision; Artificial neural networks; Support vector machine (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:183:y:2019:i:c:p:1104-1113

DOI: 10.1016/j.energy.2019.07.020

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