Gas Lift Smart Flow Integrates Quality and Control Data for Diagnostic and Optimization in Real Time

Author:

Al-Jasmi A..1,Goel H. K.1,Querales M..2,Lopez C..2,Carvajal G. A.2,Moricca G..2,Vellani R..2,Villamizar M..2,Rodriguez J. A.2,Velasquez G..2,Yong Z..2

Affiliation:

1. Kuwait Oil Company

2. Halliburton

Abstract

Abstract Intelligent digital oilfield (iDOF) operations include the transfer, monitoring, visualization, analysis, and interpretation of realtime data. Enabling this process requires a significant investment in surface, subsurface, and well instrumentation and a sophisticated infrastructure for data transmission and visualization. This upgraded system can then transfer massive quantities of data. Automated intelligent workflows, referred to here as "smart flows", convert this raw data into real information at the right time. To increase efficiency and decrease downtime in operations, oil companies have invested heavily in digital oilfield infrastructure. An important part of the puzzle is transferring data from the wellsite to the office in real time and using that data to optimize production systems. The challenge is to extract real-time information from raw data at the right time to affect the management of the fields, which is the primary goal. North Kuwait’s Sabriyah field is operated using an intelligent digital oilfield operation by a major Middle Eastern oil company. Part of the intelligent digital oilfield project is a smart flow dedicated to monitoring, diagnostics, and optimization of gas lift (GL) wells. Leading-edge technologies—such as subsurface equipment and sensors, advanced diagnostics based on artificial intelligent agents, analysis of sensors signals, and automatically identifying GL optimum operating-conditions—are used to accomplish this goal. Using a steady-state nodal-analysis model combined with an artificial intelligent technique, the smart flow is designed to provide rapid diagnostics and optimization in real time, generating actions, such as decreasing and increasing the gas lift injection rate and choke setting. The ultimate benefit is timely detection of those signals that foretell unexpected well downtime or equipment failure. The paper describes the main functionalities of the GL smart flow as a powerful optimization tool capable of providing an interactive monitoring system to assist the company in managing its GL-operated wells.

Publisher

SPE

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3