LAPSE:2023.11490
Published Article
LAPSE:2023.11490
Leakage Model of Tubing and Casing Premium Connection Based on Sinusoidal Contact Simulation between Rough Surfaces
Honglin Xu, Zhi Zhang, Shilin Xiang, Bin Yang, Taihe Shi
February 27, 2023
Abstract
This paper proposed a semi-theoretical model to quantitatively predict leakage rate of tubing and casing premium connections. The geometric parameters of the sealing surface profile approximated by a sinusoidal micro-convex surface were first obtained based on the random normal distribution sampling method. With the actual area prediction formula for elastic−plastic contact of an axisymmetric sinusoidal micro-convex body based on the equivalent simulation principle, the circumferential leakage width and radial average leakage height of the micro-leakage channel between sealing surfaces were then acquired with the surface roughness and geometric mean contact pressure. At last, the actual micro-leakage rate of the premium connection was derived by considering the non-uniform contact pressure distribution between sealing surfaces. An example was investigated to validate the model and reveal the sealing and leakage characteristics, and anti-leakage measures were proposed. The results show that average contact pressure, circumferential leakage width, and radial average leakage height between sealing surfaces were non-uniformly distributed. The leakage rate of a premium connection decreases exponentially with an increase in radial interference between sealing surfaces. In order to reduce leakage rate, it is beneficial to increase radial interference and lower sealing surface roughness.
Keywords
leakage rate, premium connection, roughness, sealing performance, sinusoidal contact simulation, tubing and casing
Suggested Citation
Xu H, Zhang Z, Xiang S, Yang B, Shi T. Leakage Model of Tubing and Casing Premium Connection Based on Sinusoidal Contact Simulation between Rough Surfaces. (2023). LAPSE:2023.11490
Author Affiliations
Xu H: State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China; School of Petroleum and Natural Gas Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
Zhang Z: State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China
Xiang S: State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China
Yang B: School of Petroleum and Natural Gas Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
Shi T: State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China
Journal Name
Processes
Volume
11
Issue
2
First Page
570
Year
2023
Publication Date
2023-02-13
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr11020570, Publication Type: Journal Article
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LAPSE:2023.11490
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https://doi.org/10.3390/pr11020570
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