A deep learning-aided approach for estimating field permeability map by fusing well logs, well tests, and seismic data

Obtaining reliable permeability maps of oil reservoirs is crucial for building a robust and accurate reservoir simulation model and, therefore, designing effective recovery strategies. This problem, however, remains challenging, as it requires the integration of various data sources by experts from...

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Auteurs principaux:	Grigoriy Shutov, Viktor Duplyakov, Shadfar Davoodi, Anton Morozov, Dmitriy Popkov, Kirill Pavlenko, Albert Vainshtein, Viktor Kotezhekov, Sergey Kaygorodov, Boris Belozerov, Mars M. Khasanov, Vladimir Vanovskiy, Andrei Osiptsov, Evgeny Burnaev
Format:	Artigo
Langue:	Inglês
Publié:	KeAi Communications Co., Ltd. 2025-12-01
Collection:	Petroleum
Sujets:	Data fusion Permeability Convolutional neural network Seismic Kernel regression
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2405656125000951
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