机采系统数字化技术研究与发展建议

随着油田开发进入中后期，低产井、低效井逐年增多，管理工作愈发繁重，机采系统的数字化、智能化转型升级是实现节能高效生产的必然选择。文章介绍了中国石油机采系统生产情况及数字化技术现状、机采物联网系统主要组成部分，梳理了当前重点建设的抽油机井示功图模式、抽油机井电参数模式、无杆泵井多参数模式，分析了机采系统优化设计技术及智能调控技术的进展及适用性。根据油田生产情况、机采方式等提出发展建议：（1）形成抽油机以电参数为主、无杆泵以多参数为主的机采井数字化建设模式；（2）形成以把控数据质量、深入挖掘数据价值为核心的机采数据深度应用方案；（3）加快形成机采井低成本智能控制体系等。机采系统数字化技术助力破解低产低效难题，有效提高了精细化生产水平和管理效率。

Suggestions on Research and Development of Mechanical Recovery Digitalization Technology

The low-yield wells and low-efficiency wells are on the rise year by year after the oilfields enter their middle and later development periods. The management work will become more complicated at the same time. Digitalization and intelligent transformation of the mechanical recovery system is an inevitable option for energy saving and high-efficiency production. This paper briefs about PetroChina’s current conditions of mechanical recovery system and digitalization technology as well as the main integral parts of mechanical production IOT. It also elaborates on the work-showing map pattern of a pumping well, a key project constructed at the present time, the electricity parameter pattern of a pumping well and the multi-parameter pattern of a rodless pumping well. The paper analyzes development and adaptability of mechanical production system optimization technology and intelligent adjustment control technology. Based on production at the oilfields, this paper comes up with some suggestions on mechanical recovery methods: (1) The method for pumping well digitalization should be based on the electric parameter-focused pumping units and multiple parameters-focused rodless pumping units. (2) The plan for in-depth application of mechanical recovery data should be centered on control over data quality and study of data value. (3) It is necessary to accelerate the cost-effective and intelligent control system for pumping wells. Digitalization technology of the mechanical recovery system can help solve the bottlenecks of low production and low efficiency, effectively improving the fine production level and management efficiency.