特种油气藏 ›› 2026, Vol. 33 ›› Issue (2): 166-174.DOI: 10.3969/j.issn.1006-6535.2026.02.019

• 钻采工程 • 上一篇    

中浅部煤层气井智能排采技术及应用

李金平1, 赵恒平1, 王睿淇2, 孟艳军3, 何日升1, 潘军1, 温连辉1, 苟子奇1   

  1. 1.重庆万普隆能源股份有限公司,重庆 401331;
    2.杭州电子科技大学自动化学院,浙江 杭州 310018;
    3.太原理工大学地球科学与测绘工程学院,山西 太原 030024
  • 收稿日期:2025-09-15 修回日期:2026-01-08 发布日期:2026-07-30
  • 作者简介:李金平(1984—),女,工程师,2007年毕业于中国地质大学(北京)地质学(基地班)专业,2015年毕业于该校矿产普查与勘探专业,获博士学位,现从事煤层气勘探和开发工作。
  • 基金资助:
    国家自然科学基金“氧化剂对不同煤级煤储层改性差异的构效关系及其对气水相渗的影响机理研究”(42372194);中国博士后基金第17批特别资助项目“中低阶煤储层氧化改性协同压裂增渗机理与方案设计研究”(2024T170634)

Intelligent dewatering and gas production technology for medium-shallow coalbed methane wells and its application

LI Jinping1, ZHAO Hengping1, WANG Ruiqi2, MENG Yanjun3, HE Risheng1, PAN Jun1, WEN Lianhui1, GOU Ziqi1   

  1. 1. Chongqing Opro Energy Co.,Ltd.,Chongqing 401331,China;
    2. School of Automation,Hangzhou Dianzi University,Hangzhou,Zhejiang 310018,China;
    3. College of Geological and Surveying Engineering,Taiyuan University of Technology,Taiyuan,Shanxi 030024,China
  • Received:2025-09-15 Revised:2026-01-08 Published:2026-07-30

摘要: 煤层气地质条件复杂,人工现场手动管理模式在很大程度上制约了煤层气井产气潜力的有效发挥,煤层气效益开发难度大。智能排采技术是实现煤层气井降本增效,提升规模开发效益的重要途径之一。中浅部煤层气井排采过程中,存在排采制度定量算法缺失,排采制度与储层能量、气水产出和供应协同难,煤粉卡泵导致连续排采难等难题。为此,研发了全生命周期智能排采技术和智能煤粉控制技术,并以筠连沐爱煤层气田为例介绍了现场应用效果。结果表明:中浅部煤层气井智能排采技术中嵌入排采制度定量算法,将煤层气井排采过程划分为设备磨合阶段、单相水阶段、憋套压阶段、控压提产阶段、稳产阶段和递减阶段,分阶段调用对应的系统功能进行智能控制,可以实现全生命周期煤层气井的定量化、智能化和精细化管理;针对煤粉卡泵问题,以井底流压、扭矩等参数的实时监测和预警为手段,智能识别井筒煤粉,配合不动管柱智能洗井技术实现洗井过程中的流压精细管理,有效解决煤粉卡泵生产难题。该智能排采技术降本增效成果显著,实现了低成本、高效率、高质量和精细化、智能化的和谐统一,可为煤层气高效开发提供技术借鉴。

关键词: 煤层气, 智能排采, 煤粉管理, 精细控压, 定量算法, 排采制度

Abstract: Coalbed methane is complex in terms of geological conditions,and the on-site manual management mode largely constrains the effective realization of gas production potential in coalbed methane wells,making economic development difficult.Intelligent dewatering and gas production technology is one of the important approaches to reduce cost and improve efficiency,and to enhance large-scale development benefits for coalbed methane wells.During dewatering and gas production of medium-shallow coalbed methane wells,there are challenges such as the lack of quantitative algorithms for production regimes,difficulty in coordinating production regimes with reservoir energy and gas-water production and supply,and difficulty in continuous dewatering due to coal fines-induced pump sticking.Therefore,full life-cycle intelligent dewatering and gas production technology and intelligent coal fines control technology were developed,and field application effects were introduced using the Yunlian Muai coalbed methane field as an example.The results show that the intelligent dewatering and gas production technology for medium-shallow coalbed methane wells embeds quantitative algorithms for production regimes,and divides the dewatering and production process into six stages:equipment break-in stage,single-phase water stage,casing pressure buildup stage,pressure-controlled production enhancement stage,stable production stage,and decline stage.Corresponding system functions are invoked stage-by-stage for intelligent control,enabling quantitative,intelligent,and refined management throughout the full life cycle.For the problem of coal fines-induced pump sticking,real-time monitoring and early warning of parameters such as bottomhole flowing pressure and torque are used to intelligently identify coal fines in the wellbore;combined with an intelligent well-washing technology without moving the tubing string,refined management of flowing pressure during well washing is achieved,effectively solving production challenges caused by coal fines-induced pump sticking.This intelligent technology yields significant cost reduction and efficiency improvement,and achieves coordinated unity of low cost,high efficiency,high quality,and refined and intelligent management,providing technical references for efficient coalbed methane development.

Key words: coalbed methane, intelligent dewatering and production, coal fines management, refined pressure control, quantitative algorithm, dewatering and production regime

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