摘要
为解决油气井开采过程中的出砂问题,延长油气井使用寿命,从油气井出砂监测技术的运行机理入手,对出砂监测技术的系统模型构建、技术优化、软件系统构成、监测技术测试与评价等方面进行系统化研究,形成了完善的油气井测试在线出砂监测方案。以监测数据为导向,完整的油气井测试分析机制可以对油气井出砂监测技术的调整方案进行系统分析。通过必要的测试评价手段,还可以对油气井出砂监测技术的实用性进行考量,实现对油气井出砂的准确监测与有效控制。完善的油气井测试在线出砂监测方案能够满足实际油气井生产要求,为现阶段油气井生产、管理创造条件。
In order to solve the problem of sand production in oil and gas well exploitation and prolong the service life of oil and gas wells,starting from the operation mechanism of sand production monitoring technology of gas wells,this paper systematically studies the construction of sand production monitoring technology system model,the optimization of technology,the composition of software system,the test and evaluation of monitoring technology,etc.a perfect online sand production monitoring scheme for oil and gas well testing is formed.Guided by the monitoring data,a complete oil and gas well testing and analysis mechanism can systematically analyze the adjustment scheme of sand production monitoring technology for oil and gas well testing.Through necessary testing and evaluation means,consider the practicability of oil and gas well sand production monitoring technology,so as to realize the accurate monitoring and effective control of sand production and meet the actual production requirements of oil and gas wells.The perfect monitoring scheme of oil and gas well testing online sand production can meet the actual production requirements of oil and gas wells,and create conditions for the production and management of oil and gas wells at present.
作者
张涛
刘莉娟
郭玉廷
ZHANG Tao;LIU Lijuan;GUO Yuting(No.7 Oil Production Plant,PetroChina Changqing Oilfield Company,Qingyang,Gansu 745000,China;No.4 Oil Production Plant,PetroChina Huabei Oilfield Company,Langfang,Hebei 065007,China;Exploration and Development Research Institute,PetroChina Huabei Oilfield Company,Renqiu,Hebei 065007,China)
出处
《油气井测试》
2021年第3期45-51,共7页
Well Testing
关键词
动态监测
油气井出砂
在线监测
监测软件
监测方案
效果评估
dynamic monitoring
oil and gas well sand production
online monitoring
monitoring software
monitoring scheme
effect evaluation