煤层气井排采控制技术发展现状与展望  

Development status and prospect of CBM well production control technologies

作　　者：刘斌[1] 杜海为 崔金榜[1] 祝捷[2] 樊彬[1] 张斌 LIU Bin;DU Haiwei;CUI Jinbang;ZHU Jie;FAN Bin;ZHANG Bin(Coalbed Methane Department,PetroChina Huabei Oilfield Company,Renqiu 062550,Hebei,China;School of Mechanics and Civil Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China)

机构地区：[1]华北油田公司煤层气事业部 [2]中国矿业大学(北京)力学与建筑工程学院

出　　处：《石油钻采工艺》2019年第4期489-493,共5页Oil Drilling & Production Technology

基　　金：国家"十三五"科技重大专项"大型油气田及煤层气开发-沁水盆地高煤阶煤层气高效开发示范工程"(编号：2017ZX05064)

摘　　要：总结煤层气井排采控制工艺的发展历程,在现阶段自动化排采技术的基础上,展望未来智慧排采工艺的发展方向。自动化排采设备控制精度高,维护方便,综合运营成本低,目前在煤层气开发领域已大量推广,但是排采控制制度及设备参数的设定,全部依靠人工凭借经验手动设置,存在较为严重的不确定性。将机器学习算法与煤层气井自动化排采技术跨领域结合,进行智慧排采决策系统的开发,为煤层气井智慧排采提供准确的产能预测和排采制度设置,是该领域未来的一个重点研究方向。In this paper, the development course of the production control technologies of coalbed methane(CBM) well was reviewed. Then, based on the current automatic production technologies, the development directions of smart production technologies in the future were prospected. It is shown that automatic production equipment is advantageous with high control accuracy, convenient maintenance and low composite operation cost and it has been extensively popularized in the field of CBM development, but its production control system and equipment parameters are all manually set according to operators’ experience, so they are of higher uncertainty. One of the important research directions in the field of CBM development in the future is combining the machine learning algorithm with the automatic production technologies of CBM well for the development of smart production decision making system to provide accurate productivity prediction and production system setting for the smart production of CBM wells.

关 键 词：煤层气井 排采工艺 机器学习 智慧排采 

分 类 号：TE37[石油与天然气工程—油气田开发工程]