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Reconstruction of flow rate history using linear regression

Long-term pressure and flow rate history are important for reservoir characterization and reservoir management. However, a complete set of these data are often not available due to numerous technical difficulties. Currently, datasets with missing information are omitted and not considered for furthe...

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Main Authors: Negash, B.M., Poon, C.H., Vasant, P.M.
Format: Book
Published: IOS Press 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37645/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172814472&doi=10.3233%2fAERD230005&partnerID=40&md5=2b0544f7e3ed57664c04be6174892479
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spelling oai:scholars.utp.edu.my:376452023-10-17T02:46:22Z http://scholars.utp.edu.my/id/eprint/37645/ Reconstruction of flow rate history using linear regression Negash, B.M. Poon, C.H. Vasant, P.M. Long-term pressure and flow rate history are important for reservoir characterization and reservoir management. However, a complete set of these data are often not available due to numerous technical difficulties. Currently, datasets with missing information are omitted and not considered for further analysis. In this study, we use machine learning algorithm via linear regression for flow rate history reconstruction. Only few studies have demonstrated the application of linear regression for well testing purposes. However, pressure and flow rate data in a producing field are comparatively longer and more complex. A combination of feature extraction and linear regression was applied for long term flow rate history reconstruction. The dataset used to evaluate the performance of the proposed method was obtained from a real producing field. This study indicated the high performance of linear regression at estimating missing flow rate history using available pressure readings in the dataset. Although linear regression has the benefits of high interpretability and fast computation time, it fails to perform well in reconstructing flow rate history when there is a significant degree of variation in the flow rate and pressure data. © 2023 The Authors. IOS Press 2023 Book NonPeerReviewed Negash, B.M. and Poon, C.H. and Vasant, P.M. (2023) Reconstruction of flow rate history using linear regression. IOS Press, pp. 22-35. ISBN 9781643684192; 9781643684185 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172814472&doi=10.3233%2fAERD230005&partnerID=40&md5=2b0544f7e3ed57664c04be6174892479 10.3233/AERD230005 10.3233/AERD230005 10.3233/AERD230005
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Long-term pressure and flow rate history are important for reservoir characterization and reservoir management. However, a complete set of these data are often not available due to numerous technical difficulties. Currently, datasets with missing information are omitted and not considered for further analysis. In this study, we use machine learning algorithm via linear regression for flow rate history reconstruction. Only few studies have demonstrated the application of linear regression for well testing purposes. However, pressure and flow rate data in a producing field are comparatively longer and more complex. A combination of feature extraction and linear regression was applied for long term flow rate history reconstruction. The dataset used to evaluate the performance of the proposed method was obtained from a real producing field. This study indicated the high performance of linear regression at estimating missing flow rate history using available pressure readings in the dataset. Although linear regression has the benefits of high interpretability and fast computation time, it fails to perform well in reconstructing flow rate history when there is a significant degree of variation in the flow rate and pressure data. © 2023 The Authors.
format Book
author Negash, B.M.
Poon, C.H.
Vasant, P.M.
spellingShingle Negash, B.M.
Poon, C.H.
Vasant, P.M.
Reconstruction of flow rate history using linear regression
author_facet Negash, B.M.
Poon, C.H.
Vasant, P.M.
author_sort Negash, B.M.
title Reconstruction of flow rate history using linear regression
title_short Reconstruction of flow rate history using linear regression
title_full Reconstruction of flow rate history using linear regression
title_fullStr Reconstruction of flow rate history using linear regression
title_full_unstemmed Reconstruction of flow rate history using linear regression
title_sort reconstruction of flow rate history using linear regression
publisher IOS Press
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/37645/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172814472&doi=10.3233%2fAERD230005&partnerID=40&md5=2b0544f7e3ed57664c04be6174892479
_version_ 1781707937208598528
score 13.223943

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