LAPSE:2023.8813
Published Article

LAPSE:2023.8813
Qualitative and Quantitative Analysis of the Stability of Conductors in Riserless Mud Recovery System
February 24, 2023
Abstract
Riserless Mud Recovery (RMR) technology, as an emerging and efficient drilling method, is advantageous to reduce the shallow flow hazards and the number of casings. The wave current effect is one of the reasons limiting the application of RMR technology in deep and ultra-deep water, and fewer quantitative and qualitative analyses of the effect of the current are made on the stability of conductors. This paper investigates the influence of the overturning moment generated by the continuous subsea internal wave flow and the soil resistance to the conductor. The numerical simulation software ABAQUS is used to study the effects of sea state recurrence period, seabed soil properties, conductor material, driving depth in the mud, and conductor wellhead height on the stability of the conductor, and the influence weights of the factors affecting the stability of the conductor are analyzed using the weight analysis algorithm of extreme learning machine-mean impact value (ELM-MIV). Finally, the qualitative and quantitative analyses affecting the stability of the conductor are carried out, which provide reference values for the application of the RMR technology.
Riserless Mud Recovery (RMR) technology, as an emerging and efficient drilling method, is advantageous to reduce the shallow flow hazards and the number of casings. The wave current effect is one of the reasons limiting the application of RMR technology in deep and ultra-deep water, and fewer quantitative and qualitative analyses of the effect of the current are made on the stability of conductors. This paper investigates the influence of the overturning moment generated by the continuous subsea internal wave flow and the soil resistance to the conductor. The numerical simulation software ABAQUS is used to study the effects of sea state recurrence period, seabed soil properties, conductor material, driving depth in the mud, and conductor wellhead height on the stability of the conductor, and the influence weights of the factors affecting the stability of the conductor are analyzed using the weight analysis algorithm of extreme learning machine-mean impact value (ELM-MIV). Finally, the qualitative and quantitative analyses affecting the stability of the conductor are carried out, which provide reference values for the application of the RMR technology.
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Keywords
conductor stability, influencing weights, quantitative analysis, RMR technology
Subject
Suggested Citation
Qin R, Xu B, Chen H, Lu Q, Li C, Wang J, Feng Q, Liu X, Wang L. Qualitative and Quantitative Analysis of the Stability of Conductors in Riserless Mud Recovery System. (2023). LAPSE:2023.8813
Author Affiliations
Qin R: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Xu B: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Chen H: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Lu Q: Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510075, China
Li C: School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China [ORCID]
Wang J: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Feng Q: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Liu X: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Wang L: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Xu B: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Chen H: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Lu Q: Guangzhou Marine Geological Survey, China Geological Survey, Guangzhou 510075, China
Li C: School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China [ORCID]
Wang J: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Feng Q: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Liu X: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Wang L: Institute of Exploration Techniques, Chinese Academy of Geological Sciences, Langfang 065000, China
Journal Name
Energies
Volume
15
Issue
20
First Page
7657
Year
2022
Publication Date
2022-10-17
ISSN
1996-1073
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Original Submission
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PII: en15207657, Publication Type: Journal Article
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LAPSE:2023.8813
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https://doi.org/10.3390/en15207657
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Feb 24, 2023
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