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Perspective | Open Access

Reservoir automatic history matching: Methods, challenges, and future directions

School of Civil Engineering, Qingdao University of Technology, Qingdao 266520, P. R. China
School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, P. R. China
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Abstract

Reservoir history matching refers to the process of continuously adjusting the parameters of the reservoir model, so that its dynamic response will match the historical observation data, which is a prerequisite for making forecasts based on the reservoir model. With the development of optimization theory and machine learning algorithms, automatic history matching has made numerous breakthroughs for practical applications. In this perspective, the existing automatic history matching methods are summarized and divided into model-driven and surrogate-driven history matching methods according to whether the reservoir simulator needs to be run during the automatic history matching process. Then, the basic principles of these methods and their limitations in practical applications are outlined. Finally, the future trends of reservoir automatic history matching are discussed.

Keywords

History matchingoptimization algorithmsurrogate modeldata-driven

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Advances in Geo-Energy Research
Volume 7 Issue 2,
February 2023
Pages 136-140
DOI: 10.46690/ager.2023.02.07
Cite this article:
Liu P, Zhang K, Yao J. Reservoir automatic history matching: Methods, challenges, and future directions. Advances in Geo-Energy Research, 2023, 7(2): 136-140. https://doi.org/10.46690/ager.2023.02.07

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Received: 01 January 2023
Revised: 09 January 2023
Accepted: 12 January 2023
Published: 14 January 2023
© The Author(s) 2023.

Open Access This article is distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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