Integrating Operations Data and Hydraulic Models for Automated Choke Surveillance and Production Optimization

Author:

Raghav Varun K.1,Pareek Aditya1,Agrawal Nitesh1,Pandey Shashank1,Becker Gauthier2,Swanberg Cassandra2

Affiliation:

1. ExxonMobil Services & Technology Private Limited, Bengaluru, Karnataka, India

2. ExxonMobil Technology and Engineering Company, Spring, TX, United States

Abstract

Abstract Wellhead choke valve is a critical control element of a well that is used to regulate its drawdown, sand production and to execute optimal production-injection plan. Monitoring state of health of wellhead choke in a producing field is important to avoid production loss due to degraded and non-ideal choke valve performance and to proactively plan equipment maintenance. Automated wellhead choke surveillance tool was developed as part of in-house digital oil field application. The tool uses hydraulic models auto tuned to physical well tests to provide daily estimates of liquid and gas production rates in response to change in operations data; wellhead pressure and gas-lift rate. The predicted rates along with well specific choke valve sizing data are used as inputs to ELF valve sizing model to monitor current performance of wellhead choke valve. This approach determines the state of wellhead choke; whether it is plugged or eroded. Additionally, the tool predicts new trim size for replacement of eroded choke valves, and estimates uplift associated with replacement and maintenance of plugged and eroded choke valves. The surveillance tool has been used in conventional assets to identify plugged and eroded wellhead chokes. In one of the cases, it highlighted that excessive pressure drop that was potentially a result of a plugged choke. This was later confirmed by presence of excessive scaling observed in the flowline. In one more instance, the tool highlighted an undersized choke that led to calibration of wellhead sensor and helped in improving data integrity and quality. A wellhead choke monitoring tool that is integral part of internally developed digital oil field application is presented. The tool uses the updated hydraulic models with operations data to determine health of wellhead choke on daily basis. The tool is augmented with supporting visualization that tracks observed and expected choke performance over history and enables surveillance by exception by highlighting uplift potential associated with replacement and maintenance of wellhead chokes.

Publisher

OTC

Reference10 articles.

1. The Engineering ToolBox. 2003. Control Valves – Flow Characteristics, https://www.engineeringtoolbox.com/control-valves-flow-characteristics-d_485.html (accessed 26 September 2023)

2. Choke Performance. In Petroleum Production Engineering, A Computer-Assisted Approach;Guo,2007

3. Liao, T. T. and MichaelH. S. 2002. Evaluating Operation Strategies via Integrated Asset Modeling. Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 30–May 2. SPE-75525-MS. https://doi.org/10.2118/75525-MS

4. Navas, G. and Grigorescu, I. 2011. Erosion-Corrosion Failures In Wellhead Chokes. Paper presented at the CORROSION 2011, Houston, Texas, March13-17. NACE-11247.

5. Nystad, B. H., Gola, G., Hulsund, J. E., and Roverso, D. 2010. Technical Condition Assessment and Remaining Useful Life Estimation of Choke Valves subject to Erosion. Annual Conference of the PHM Society2 (1). https://doi.org/10.36001/phmconf.2010.v2i1.1726

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