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Subsurface analytics: Contribution of artificial intelligence and machine learning to reservoir engineering, reservoir modeling, and reservoir management

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Received date: 18 Feb. 2020; Revised date: 31 Mar. 2020. * Corresponding author. E-mail: [email protected] https://doi.org/10.1016/S1876-3804(20)60041-6 Copyright © 2020, Research Institute of Petroleum Exploration & Development, PetroChina. Publishing Services provided… Click to show full abstract

Received date: 18 Feb. 2020; Revised date: 31 Mar. 2020. * Corresponding author. E-mail: [email protected] https://doi.org/10.1016/S1876-3804(20)60041-6 Copyright © 2020, Research Institute of Petroleum Exploration & Development, PetroChina. Publishing Services provided by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Subsurface analytics: Contribution of artificial intelligence and machine learning to reservoir engineering, reservoir modeling, and reservoir management

Keywords: contribution artificial; machine learning; subsurface analytics; intelligence machine; analytics contribution; artificial intelligence

Journal Title: Petroleum Exploration and Development
Year Published: 2020

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