Mineralogical Characterization From Geophysical Well Logs Using a Machine Learning Approach: Case Study for the Horn River Basin, Canada

Abstract Accurate estimation of mineral composition is essential for refined reservoir characterization, thermal conductivity and mechanical determinations of sedimentary rocks, but is extremely challenging in shale units due to the mineralogical complexity, low porosity and ultra‐low permeability....

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Bibliographic Details
Main Authors: Kezhen Hu, Xiaojun Liu, Zhuoheng Chen, Stephen E. Grasby
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2023-12-01
Series:Earth and Space Science
Subjects:
Online Access:https://doi.org/10.1029/2023EA003084

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