钻探工程2026，Vol.53Issue(5)：64-73,10.DOI:10.12143/j.ztgc.2026.05.007
深部钻探装备智能运维实践探索
A practical exploration of intelligent operation and maintenance system for deep drilling equipment
摘要
Abstract
The operating environment for deep drilling is extreme,where critical components are prone to issues such as wear,fatigue,and seal failure.Traditional operation and maintenance(O&M)models,primarily based on scheduled maintenance and reactive repair,struggle to meet the requirements for continuous operation and operational safety.Addressing the intelligent O&M requirements for deep drilling equipment,this paper systematically analyzes key requirements including user roles,system deployment,data acquisition and transmission,application scenarios,and functional configuration.It proposes a technical scheme for multi-source heterogeneous data integration and transmission,establishing an integrated approach that coordinates WITSML/ETP,OPC UA,and Kafka.A distributed and elastic"cloud-edge-device"collaborative architecture is constructed,introducing K3s and KubeEdge for edge service deployment and cloud-edge collaboration,while employing time-series databases and graph databases for data and knowledge management.Based on this,a prototype software for the intelligent O&M system is developed,integrating functions such as digital twin,real-time monitoring,and early fault warning.The applicability of the system under engineering conditions is validated using steel wire rope electromagnetic inspection as a case study.This research provides an implementable technical architecture and pathway for intelligent O&M of deep drilling equipment,offering engineering reference value for enhancing equipment operational reliability and O&M efficiency under extreme conditions.关键词
深部钻探/钻探装备/智能运维/云边协同/数据集成/数字孪生/边缘计算/故障预警Key words
deep drilling/drilling equipment/intelligent operation and maintenance/cloud-edge collaboration/data integration/digital twin/edge computing/early fault warning分类
天文与地球科学引用本文复制引用
厉曈曈,张毅,汪伟,王倩男,胡文财..深部钻探装备智能运维实践探索[J].钻探工程,2026,53(5):64-73,10.基金项目
国家重点研发计划项目课题"高端钻探装备智能运维系统样机研制及示范应用"(编号:2024YFB3409304) （编号:2024YFB3409304）
