Physics-integrated neural networks for improved mineral volumes and porosity estimation from geophysical well logs

Accurate estimation of mineralogy from geophysical well logs is crucial for characterizing geological formations, particularly in hydrocarbon exploration, CO2 sequestration, and geothermal energy development. Current techniques, such as multimineral petrophysical analysis, offer details into mineral...

書目詳細資料
發表在:	Energy Geoscience
Main Authors:	Prasad Pothana, Kegang Ling
格式:	Article
語言:	英语
出版:	KeAi Communications Co., Ltd. 2025-06-01
主題:	Physics integrated neural networks Petrophysics Well logs Oil and gas Reservoir characterization Mineralogy
在線閱讀:	http://www.sciencedirect.com/science/article/pii/S2666759225000319

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