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ORIGINAL RESEARCH article
Front. Mater.
Sec. Environmental Degradation of Materials
Volume 12 - 2025 | doi: 10.3389/fmats.2025.1575960
Corrosion prediction for shale gas pipelines based on Bayesian network and common cause failure analysis
Provisionally accepted- 1 PetroChina Southwest Oil and Gasfield Company, Chengdu, Sichuan Province, China
- 2 Southwest Petroleum University, Chengdu, China
During the commissioning and operation of shale gas pipelines, multiple perforation accidents caused by internal corrosion have occurred. Due to the complexity of internal corrosion causes, research on internal corrosion probability prediction is currently very limited. In light of this, this paper utilizes a Bayesian network model, combined with common cause failure analysis, to establish an internal corrosion probability prediction model for shale gas pipelines. The model was used to predict the internal corrosion of pipelines in a shale gas field in Sichuan Province, China, and the prediction results were within a 20% error margin compared to the field inspection results.
Keywords: shale gas pipelines, internal corrosion probability prediction, Bayesian network, Common cause failure, Energy
Received: 14 Feb 2025; Accepted: 07 Apr 2025.
Copyright: © 2025 Gong, Shen, Wen, Yang, Zhou, Li and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xingyu Zhu, Southwest Petroleum University, Chengdu, China
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