摘要：Artificial lift systems are employed in approximately 95% of global oil wells, yet their operational lifespans are often curtailed by complex geological conditions, equipment fatigue, and production demands. To address these challenges, this study proposes an innovative Interpretable Damage Analysis (InterDA) method for fault diagnosis and maintenance optimization. By combining adaptive temporal feature segmentation with expert rule-based interpretation, InterDA assesses the operational status of equipment and quantifies potential risk sources. A risk score enhancement strategy is further employed to prioritize high-risk wells for maintenance scheduling. Experimental results demonstrate a 100% fault diagnosis accuracy, effectively identifying issues such as insufficient fluid supply, sanding, tubing perforation, and pump failures, while minimizing downtime. Field applications confirm that InterDA significantly improves resource allocation, enhances equipment stability, and boosts overall oilfield productivity. The interpretability and efficiency of InterDA offer a novel approach to intelligent management and optimization of artificial lift systems. Copyright 2025, Society of Petroleum Engineers.

ISSN号：9781959025733

卷、期、页：/

发表日期：2025-01-01

期刊分区（SCI为中科院分区）：无

收录情况：EI（工程索引）

发表期刊名称：Society of Petroleum Engineers - GOTECH 2025

通讯作者：马赫,杨丁丁,陈华鹏,项小龙,李亚博

第一作者：韩国庆

论文类型：会议论文

论文概要：马赫,韩国庆,杨丁丁,陈华鹏,项小龙,李亚博，Interpretable Damage Analysis for Fault Diagnosis and Maintenance Sequence Optimization of Artificial Lift Devices，Society of Petroleum Engineers - GOTECH 2025，2025，/

论文题目：Interpretable Damage Analysis for Fault Diagnosis and Maintenance Sequence Optimization of Artificial Lift Devices