Reservoir evaluation using petrophysics informed machine learning: A case study

We propose a novel machine learning approach to improve the formation evaluation from logs by integrating petrophysical information with neural networks using a loss function. The petrophysical information can either be specific logging response equations or abstract relationships between logging da...

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Bibliographic Details
Main Authors: Rongbo Shao, Hua Wang, Lizhi Xiao
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2024-12-01
Series:Artificial Intelligence in Geosciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S266654412400011X