Oil and Gas Leak Detection Technology Based on Adaptive Dynamic Programming

This study developed an innovative oil and gas leak detection method using Adaptive Dynamic Programming (ADP) technology. This approach integrates multisensor data fusion, multi-feature data analysis, and real-time decision-making adjustments, significantly enhancing detection sensitivity and accuracy. Compared to conventional methods, ADP exhibits superior adaptability and dynamic optimization in complex, variable pipeline environments. The results confirm high detection rates and low false positives across various test scenarios. The method effectively counters interference from background noise and fluid dynamics, making it suitable for extensive, long-distance pipeline monitoring. Despite challenges such as high computational complexity and reliance on advanced hardware, future research will focus on algorithmic improvements. These enhancements aim to increase detection precision and reliability under extreme conditions, providing robust technical support for the safe operation of oil and gas pipelines.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/csis-iac63491.2024.10919457
Primary Topic
Oil and Gas Production Techniques
Type
article
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Oil and Gas Leak Detection Technology Based on Adaptive Dynamic Programming

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Oil and Gas Production Techniques
article

Oil and Gas Leak Detection Technology Based on Adaptive Dynamic Programming

Zhengfeng Yu, Yuan Xiao, Ying Zhu, Qiang Zhang, Yancai Xu, Nijiati Ayoufu
article en

Abstract

This study developed an innovative oil and gas leak detection method using Adaptive Dynamic Programming (ADP) technology. This approach integrates multisensor data fusion, multi-feature data analysis, and real-time decision-making adjustments, significantly enhancing detection sensitivity and accuracy. Compared to conventional methods, ADP exhibits superior adaptability and dynamic optimization in complex, variable pipeline environments. The results confirm high detection rates and low false positives across various test scenarios. The method effectively counters interference from background noise and fluid dynamics, making it suitable for extensive, long-distance pipeline monitoring. Despite challenges such as high computational complexity and reliance on advanced hardware, future research will focus on algorithmic improvements. These enhancements aim to increase detection precision and reliability under extreme conditions, providing robust technical support for the safe operation of oil and gas pipelines.

Chinese Academy of Sciences (CN), Tarim University (CN), Shandong Institute of Automation (CN), China Academy of Information and Communications Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 63%
Oil and Gas Production Techniques
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