智能决策系统与排液采气技术一体化研究  

Study on Integrated Technology for Intelligent Decision-Making Systemand Drainage&Gas Recovery

作　　者：黄万书[1] 刘通[1] 袁剑 姚麟昱[1] 倪杰[1] 杜洋 Huang Wanshu;Liu Tong;Yuan Jian;Yao Linyu;Ni Jie;Du Yang(Petroleum Engineering Technology Institute of Southwest Petroleum Branch,Sinopec,Deyang,Sichuan,618000,China;The No.1 Gas Production Plant,Sinopec Southwest Oil and Gas Company,Deyang,Sichuan,618000,China)

机构地区：[1]中国石油化工股份有限公司西南油气分公司石油工程技术研究院,四川德阳618000 [2]中国石油化工股份有限公司西南油气分公司采气一厂,四川德阳618000

出　　处：《天然气与石油》2020年第5期43-48,共6页Natural Gas and Oil

基　　金：国家科技重大专项“超深层高含硫气田水平井高产稳产工艺技术研究”(2016 ZX 05017-005-003);国家科技重大专项“四川盆地致密碎屑岩完井与储层改造技术研究”(2016 ZX 05002-004-006)。

摘　　要：为解决气井积液预警不及时、排采介入滞后、劳动强度大、制度优化难等问题,通过分析收集21井次的井底测压数据,建立了中江气田气井积液程度3级分类标准,形成了多指标的井筒积液数字综合识别方法,对158口井进行诊断,正确率达92.4%。结合各排采工艺应用界限和经济分析,创建了智能决策系统,并借助计算机编程、工业自动化控制、物联网互联等将智能决策系统与智能排液采气技术一体化,在JS 203-7 HF、JS 104-3 HF井成功应用,实现了井口压力数据自动收集、气井积液程度自动识别、排液采气措施自动判断、排液采气参数自动调整。JS 203-7 HF井及时介入智能泡排后产能递减率由76.00 m 3/d降低到6.37 m 3/d,JS 104-3 HF井及时介入智能柱塞后实现稳定排液且日增产天然气3000 m 3/d。智能决策系统和智能排液采气装置,能有效降低气井产量递减速度,提高最终气藏采收率,对致密砂岩气藏、页岩气藏的智能化排采技术具有借鉴意义。The traditional drainage gas recovery process has problems such as untimely effusion warning,delayed drainage intervention,high labor intensity and system optimization.According to actual downhole flow pressure data of twenty one wells,level 3 classification criteria for fluid accumulation were established for the comprehensive identification,which has proved to be as efficient as 92.4%from the application in 158 wells.Then intelligent decision-making system has been built combining technical application limit and economic analysis.Through the method such as computer programming,industrial automation control,internet,the organic integration of intelligent decision-making system and drainage gas recovery has been achieved and succeeded in two wells in Zhongjiang gas-field.It has been successfully applied in Well JS 203-7HF and JS 104-3 HF and has realized automatic collection of wellhead pressure data,automatic identification of liquid accumulation degree in gas wells,automatic judgment of liquid drainage and gas recovery measures,and self-adjustment of liquid and gas recovery parameters.The decline rate of well JS 203-7 HF decreased from 76.00 to 6.37 cubic meters per day.Well JS 104-3 HF achieves stable drainage,with daily production of 3000 cubic meters per day.The intelligent decision-making system and intelligent drainage and gas recovery device can effectively reduce the decline rate of gas production and improve the final gas recovery rate.It is a good reference for tight sandstone gas reservoirs and shale gas reservoirs.

关 键 词：积液程度自动识别 智能决策 智能排液 自判断 自调整 

分 类 号：TE377[石油与天然气工程—油气田开发工程]