Numerical prediction of erosion damage in sandy foam extraction fluid of gas extraction pipeline

Ming Chen; Yingjian Zhang; Li Hao; Jufu Xue; Haipeng Lin; Xiaopeng He

doi:10.1117/12.3024562

13 May 2024 Numerical prediction of erosion damage in sandy foam extraction fluid of gas extraction pipeline

Ming Chen, Yingjian Zhang, Li Hao, Jufu Xue, Haipeng Lin, Xiaopeng He

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 1315922 (2024) https://doi.org/10.1117/12.3024562
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

Gas extraction wellbore and surface pipelines are prone to wall thinning, puncture leakage, and fracture under the erosion of sandy extraction fluid, which seriously affects the safety of gas extraction. In this paper, using the discrete numerical method of particle-containing multiphase flow, we establish an erosion damage prediction model of a gas extraction pipeline and calculate the erosion rate of pipeline wall under different production rates for the oil pipeline at the wellhead of gas extraction wells, and the pipeline and elbow on the surface, to get the amount of damage. The calculation results reflect the oil pipeline and ground pipeline wall with the thinning amount, the local bending wall damage rate, and the formation of thinning distribution values. The results can provide a reference for controlling the gas extraction flow rate of gas wells and evaluating pipeline conditions.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ming Chen, Yingjian Zhang, Li Hao, Jufu Xue, Haipeng Lin, and Xiaopeng He "Numerical prediction of erosion damage in sandy foam extraction fluid of gas extraction pipeline", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 1315922 (13 May 2024); https://doi.org/10.1117/12.3024562

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available