Integrated Measurement and Control Technology for Intelligent Artificial Lift Based on Multiphase Flowmeter

Guanhong Chen, Feng Deng, Shiwen Chen, Junfeng Shi, Weidong Jiang, Gaoqiang Ma, Cai Wang
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Abstract

Intermittent oil recovery is a direct and effective way to reduce energy consumption and improve recovery efficiency. However, the existing open and shut-in well procedure relies on manual control, which has problems such as increased labor costs, changeless intermittent parameters, poor energy saving, and also brings hidden dangers to wells. As multiphase flowmeter can detect fluid supply status of oil wells in real time, it could be a significant tool for intermittent production design. This paper proposes a multiphase flow online measurement technology based on magnetic resonance, which can measure the production and composition of a single well in real time, with high frequency and accuracy. A set of oil well intelligent control system is developed to realize remote well open and shut in, and automatic and controllable intermittent oil production. A relationship model of well production data, open time and intermittent time is described by the machine learning-based algorithm. While the model is installed on wells, it can automatically learn and constantly refine the model to intelligently design an intermittent process. The proposal of this technology integrates a single well from parameter measurement, data analysis to intelligent control, forming an intelligent closed-loop control of the artificial lift system. While reducing the accident rate, it has achieved maximum energy saving and efficiency improvement. This technology has achieved good results in field applications, with a power saving rate of more than 20%. This technology is an important part of oilfield intelligence and automation and is an important step to improve the level of delicacy management of single wells and enhance the digital construction of oilfields. At the same time, the technology does not involve any information such as electrical parameters, indicator diagrams, etc. Thus, it can be extended to other forms of oil production wells other than pumping wells to improve production efficiency, save energy and reduce consumption, and realize the safe and sustainable development of oil fields.
基于多相流量计的智能人工举升综合测控技术
间歇采油是降低能耗、提高采收率的直接有效途径。然而,现有的开关井程序依赖于人工控制,存在人工成本增加、间歇参数不变、节能效果差等问题,同时也给井带来了隐患。多相流量计能够实时检测油井的供液状态,是间歇式生产设计的重要工具。本文提出了一种基于磁共振的多相流在线测量技术,该技术可以实时测量单井的产量和成分,具有高频率和高精度。开发了一套油井智能控制系统,实现了远程开闭井和自动可控间歇采油。利用基于机器学习的算法,建立了油井生产数据与开井时间、间歇时间的关系模型。当该模型安装在井中时,它可以自动学习并不断改进模型,以智能地设计间歇过程。该技术的提出将单井从参数测量、数据分析到智能控制集成在一起,形成了人工举升系统的智能闭环控制。在降低事故率的同时,最大限度地节约了能源,提高了效率。该技术在现场应用中取得了良好的效果,节电率达20%以上。该技术是油田智能化、自动化的重要组成部分,是提高单井精细化管理水平、加强油田数字化建设的重要一步。同时,该技术不涉及任何电气参数、指标图等信息。因此,可以推广到除抽油井以外的其他形式的采油井,以提高生产效率,节能降耗,实现油田的安全可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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