基于岩性识别的煤层气开采智能钻机控制系统设计

金属矿山 ›› 2025, Vol. 54 ›› Issue (6): 153-160.

基于岩性识别的煤层气开采智能钻机控制系统设计

李　剑¹ 　江　程¹ 　刁友鹏²　李敏齐³ 　姜海锐⁴ 　姜建国⁵

1. 中联煤层气有限责任公司,山西长治 046600;2. 辽宁工程技术大学机械工程学院,辽宁阜新 123099; 3. 辽河油田勘探开发研究院,辽宁盘锦 124010;4. 武汉晴川学院机械与电气工程学院,湖北武汉 430200; 5. 武汉锐达石油科技有限公司,湖北武汉 430071

出版日期:2025-06-15 发布日期:2025-07-09
通讯作者: 刁友鹏(1995—),男,博士研究生。
作者简介:李　剑(1987—),男,工程师。
基金资助:
山西省基础研究计划(自由探索类)青年科学研究项目(编号:202203021222132)。

Design of Intelligent Drilling Rig Control System for Coalbed Methane Mining Based on Lithology Identification

LI Jian ¹　 JIANG Cheng ¹ 　 DIAO Youpeng²　 LI Minqi³ 　 JIANG Hairui ⁴　 JIANG Jianguo ⁵

1. China United Coalbed Methane Co. ,Ltd. ,Changzhi 046600,China;2. College of Mechanical Engineering,Liaoning Technical University,Fuxin 123099,China;3. Petroleum Exploration and Development Research Institute,Liaohe Oilfield of CNPC,Panjin 124010,China;4. School of Mechanical and Electrical Engineering,Wuhan Qingchuan University,Wuhan 430200,China; 5. Wuhan Rida Petroleum Technology Co. ,Ltd. ,Wuhan 430071,China

Online:2025-06-15 Published:2025-07-09

摘要/Abstract

摘要： 钻机智能化是工业发展的大趋势,能够有效降低劳动成本、提高生产效率和准确度。以提高岩性判别的实时性及准确度为目的,提出一种基于岩性识别的煤层气开采智能钻机控制系统。以钻压、转速、扭矩等实时随钻数据采集为基础,基于 K-means++算法构建了针对煤岩性智能实时识别模型,并利用煤层气开发钻井 28 组实测数据对模型进行检测。结果表明,该模型误判率为零,模型可靠度高。在此基础上,基于模糊 PID 构建了智能钻机控制系统仿真模型。 Matlab 环境下模拟结果显示,模型系统上升时间仅 2. 5 s,为传统 PID 的 1 / 2,超调量为传统 PID 的 1 / 8, 在响应速度和稳定性方面均有较大的提升。本智能钻机控制系统能够实现煤岩性的实时智能识别和钻机的快速、稳定响应,满足了煤层气开发钻机智能钻进实时调控的要求,为煤层气开采向智能化转型提供了理论基础。

关键词: 煤层气　, 智能钻机, 　岩性识别　, K-means++算法, 　模糊 PID

Abstract: Intelligent drilling rig is the general trend of industrial development,which can effectively reduce labor costs, improve production efficiency and accuracy. In order to improve the real-time and accuracy of lithology identification,an intelligent drilling rig control system for coalbed methane mining based on lithology identification is proposed. Based on the real-time data acquisition of drilling pressure,rotation speed and torque,an intelligent real-time discriminant model for coal lithology is constructed based on K-means++ algorithm,and 28 sets of measured data of CBM development drilling are used to test the model. The results show that the misjudgment rate of the model is zero,and the reliability of the model is high. On this basis, the simulation model of intelligent drilling rig control system is constructed based on fuzzy PID. The simulation results in Matlab environment show that the rise time of the model system is only 2. 5 s,which is 1 / 2 of the traditional PID,and the overshoot is 1 / 8 of the traditional PID,which has a great improvement in response speed and stability. The intelligent drilling rig control system can realize the real-time intelligent identification of coal lithology and the fast and stable response of drilling rig,meet the requirements of real-time control of intelligent drilling of coalbed methane development drilling rig,and provide a theoretical basis for the intelligent transformation of coalbed methane mining.

Key words: coalbed methane,intelligent drill,lithology identification,K-means++ algorithm,fuzzy PID

中图分类号:

TD41

李　剑, 江　程, 刁友鹏, 李敏齐, 姜海锐, 姜建国. 基于岩性识别的煤层气开采智能钻机控制系统设计[J]. 金属矿山, 2025, 54(6): 153-160.

LI Jian, JIANG Cheng, DIAO Youpeng, LI Minqi, JIANG Hairui, JIANG Jianguo . Design of Intelligent Drilling Rig Control System for Coalbed Methane Mining Based on Lithology Identification [J]. Metal Mine, 2025, 54(6): 153-160.

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