摘要
抽油机井在后期的生产中存在效率低下,耗能较高等问题。准确地对抽油机井生产工况进行诊断和对抽汲参数的优化控制对于油田生产稳定和节能意义重大。本文综述了现阶段主要的抽油生产工况的诊断技术方法,对其中涉及到的机器学习方法进行了分类总结,同时对抽油机井生产优化控制相关的研究进展进行了调研和归纳。
Pumping unit wells emerges low efficiency, high energy consumption and other issues in the late production period. Accurate diagnosis of pump conditions and optimal control of pumping parameters are of great significance for the stable and efficient production of oilfields. This paper summarizes the main technical methods of diagnosing oil production condition at the present stage, summarizes the related machine learning methods, investigates the research related to the optimization of the production of pumping wells, and summarizes the main optimization control method.
出处
《数码设计》
2018年第1期67-69,共3页
Peak Data Science
关键词
抽油机
机器学习
诊断
优化
控制
pumping unit well
machine learning
diagnosis
optimization
control
