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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-06-01
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| Series: | Energy Geoscience |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666759225000319 |
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