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PMID: 36614724 Published · epublish English Journal Article

Numerical Study of Casing Microleakage Flow Field Sensitivity and Acoustic Field Characteristics.

Materials (Basel, Switzerland) ·Vol. 16 ·No. 1 ·2022-12-31

Li J, Wan J, Liu H, Yi X, He Y, Chen K, Zhao X

Abstract

The casing leakage phenomenon seriously affects the safety and economic problems of oil and gas production and transportation. In this paper, the numerical simulation study of the casing's micro-leakage flow field and acoustic field is carried out by taking the oil and gas well casing as the research object. The CFD numerical model of the casing micro-leakage is established, and the influence of the size of the leakage hole, the shape of the leakage hole, and the pressure difference between the inside and outside the casing on the microleakage flow field is analyzed. An acoustic-vibroacoustic coupling calculation model based on Fluent and LMS Virtual LAB is established, and the sound pressure value and distribution at different frequencies are calculated. The results show that the flow rate of the leakage hole increases with the pressure difference between the inside and the outside leakage hole and the area of the leakage hole. Moreover, the flow rate of the circular leakage hole is higher for the same leakage hole area. The simulation model based on the equivalent sound source can be used to calculate and analyze the sound field in the tubing. By sound field computation based on the near-field equivalent sound source, when the frequency is 32,000 Hz, the amplitude of sound pressure is maximum. In addition, the sound pressure is greatly reduced once the sound wave passes through the tubing pipeline. Lastly, the sound pressure is higher at the position facing the leakage hole in the tubing, making detecting the leakage sound field signal easier. The results can provide a reference for further research on oil casing microleakage detection technology.

Keywords
acoustic vibration coupling casing pipes micro-leakage numerical simulation ultrasonic detection
作者与单位
共 7 位作者,点击展开单位 / ORCID
Li Jingcui
CNPC Engineering Technology R&D Company Limited, Beijing 102206, China.
Wan Jifang ORCID
CNPC Engineering Technology R&D Company Limited, Beijing 102206, China.
Liu Hangming
School of Mechanical Engineering, Yangtze University, Jingzhou 434023, China.
Yi Xianzhong
School of Mechanical Engineering, Yangtze University, Jingzhou 434023, China.
He Yuxian
School of Mechanical Engineering, Yangtze University, Jingzhou 434023, China.
Chen Kang
School of Petroleum and Natural Gas Engineering, Changzhou University, Changzhou 213164, China.
Zhao Xinbo
School of Mechanical Engineering, Yangtze University, Jingzhou 434023, China.
Article Info
Journal
Materials (Basel, Switzerland)
Abbr.
Materials (Basel)
ISSN
1996-1944
Published
2022-12-31
电子出版
2022-00-31
Language
English
Country/Region
Switzerland
NLM ID
101555929
基金资助
CNPC scientific research and technology development project · 2021DJ5402 and 2022KT2202
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