Data-driven technique for analyzing the injector efficiency in a waterflooding operation

Waterflooding is considered as one of the most common methods for improving the ultimate recovery of oil reservoirs. The efficiency of a waterflooding operation strongly depends on the determination and quantification of the relative connections between the injection and production wells. Injection...

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Main Authors: Shabani, A., Moosavi, M.S., Zivar, D., Jahangiri, H.R.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.30080 /
Published: SAGE Publications Ltd 2020
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085702304&doi=10.1177%2f0037549720923386&partnerID=40&md5=a7a79e6154d83cf6aafbada24c9ec77d
http://eprints.utp.edu.my/30080/
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spelling utp-eprints.300802022-03-25T06:33:41Z Data-driven technique for analyzing the injector efficiency in a waterflooding operation Shabani, A. Moosavi, M.S. Zivar, D. Jahangiri, H.R. Waterflooding is considered as one of the most common methods for improving the ultimate recovery of oil reservoirs. The efficiency of a waterflooding operation strongly depends on the determination and quantification of the relative connections between the injection and production wells. Injection and production rates are the most accessible data and they can provide useful information about the interwell connections. Recently, several data-driven approaches, such as the capacitance resistance model (CRM), have been presented based on available reservoir data. The CRM is a valuable analytical model for estimating the production rates and interwell connections through optimization of the production data. In this study, a CRM is used in order to estimate the production rate and evaluate the underground flow paths for both synthetic and real cases. A new concept called Value of Injection (VoI) is developed for the injectors to analyze their performance in the early time of the waterflooding prior to the significant water breakthrough. The calculated VoI is directly used for economical evaluation of the injectors. The results of this study show that a strong underground connection between an injector�producer pair does not always result in higher efficiency of the injector. © The Author(s) 2020. SAGE Publications Ltd 2020 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085702304&doi=10.1177%2f0037549720923386&partnerID=40&md5=a7a79e6154d83cf6aafbada24c9ec77d Shabani, A. and Moosavi, M.S. and Zivar, D. and Jahangiri, H.R. (2020) Data-driven technique for analyzing the injector efficiency in a waterflooding operation. Simulation, 96 (8). pp. 701-710. http://eprints.utp.edu.my/30080/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Waterflooding is considered as one of the most common methods for improving the ultimate recovery of oil reservoirs. The efficiency of a waterflooding operation strongly depends on the determination and quantification of the relative connections between the injection and production wells. Injection and production rates are the most accessible data and they can provide useful information about the interwell connections. Recently, several data-driven approaches, such as the capacitance resistance model (CRM), have been presented based on available reservoir data. The CRM is a valuable analytical model for estimating the production rates and interwell connections through optimization of the production data. In this study, a CRM is used in order to estimate the production rate and evaluate the underground flow paths for both synthetic and real cases. A new concept called Value of Injection (VoI) is developed for the injectors to analyze their performance in the early time of the waterflooding prior to the significant water breakthrough. The calculated VoI is directly used for economical evaluation of the injectors. The results of this study show that a strong underground connection between an injector�producer pair does not always result in higher efficiency of the injector. © The Author(s) 2020.
format Article
author Shabani, A.
Moosavi, M.S.
Zivar, D.
Jahangiri, H.R.
spellingShingle Shabani, A.
Moosavi, M.S.
Zivar, D.
Jahangiri, H.R.
Data-driven technique for analyzing the injector efficiency in a waterflooding operation
author_sort Shabani, A.
title Data-driven technique for analyzing the injector efficiency in a waterflooding operation
title_short Data-driven technique for analyzing the injector efficiency in a waterflooding operation
title_full Data-driven technique for analyzing the injector efficiency in a waterflooding operation
title_fullStr Data-driven technique for analyzing the injector efficiency in a waterflooding operation
title_full_unstemmed Data-driven technique for analyzing the injector efficiency in a waterflooding operation
title_sort data-driven technique for analyzing the injector efficiency in a waterflooding operation
publisher SAGE Publications Ltd
publishDate 2020
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085702304&doi=10.1177%2f0037549720923386&partnerID=40&md5=a7a79e6154d83cf6aafbada24c9ec77d
http://eprints.utp.edu.my/30080/
_version_ 1741197346500247552
score 11.62408

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