摘要
为解决油田传统注入井分层测试工艺效率低、精度差和成本高的问题,研究了一种基于油田数智化推进发展的新技术。该技术整合了智能管柱测调技术、预制电缆以及智能配水器和封隔器等技术,实现了对注入井的分层测试过程的自动化和智能化;通过使用由智能管柱组成的多功能装置,实时监测和采集地质资料;借助可视化界面展示测试数据,增强了数据分析和管理的可视化程度;通过远程控制可实时检测和重新设定每层注水量、查看注水层位的压力和温度,以及进行封隔器密封性检测等;井口智能校准自检仪还能定期对井下仪器参数进行重新标定和校准。该技术为智能化测试技术在油田行业的应用提供了新的思路和方向。
In order to address the issues of low efficiency,poor accuracy,and high cost associated with traditional layered testing techniques in injection wells in oilfields,a new technology based on the advancement of digital intelligence in oilfields was studied.This technology integrates intelligent pipe string measurement and adjustment techniques,prefabricated cables,intelligent water distributors,and intelligent packers,achieving automation and intelligence in the layered testing process of injection wells.By utilizing the multifunctional devices composed of intelligent pipe strings,real-time monitoring and collection of geological data can be realized.Through visualization interfaces,the testing data were displayed,which enhances the visualization degree of data analysis and management.Through remote control,real-time detection and resetting of injection rates for each layer,viewing of pressure and temperature in injection layers,and conducting packer sealing tests can be performed.In addition,the intelligent calibration self-checking instrument at the wellhead can periodically recalibrate and calibrate the parameters of downhole instruments.This technology provides a new idea and direction for the application of intelligent testing technology in oilfield industry.
作者
赵增权
曹刚
曹钰宣
ZHAO Zengquan;CAO Gang;CAO Yuxuan(Downhole Technology Service Company,CNPC Bohai Drilling Engineering Company Limited,Tianjin 300283,China;No.1 Oil Production Company of PetroChina Daqing Oilfield Co.,Ltd.,Daqing,Heilongjiang 163001,China)
出处
《油气井测试》
2024年第2期65-71,共7页
Well Testing
关键词
智能管柱测调
数智化技术
注入井
分层测试
优化
实时检测
自动化测试
intelligent pipe string measurement and adjustment
digital intelligence technology
injection well
layered testing
optimization
real-time detection
automated testing