Three‐Dimensional Probabilistic Hydrofacies Modeling Using Machine Learning

Three‐Dimensional Probabilistic Hydrofacies Modeling Using Machine Learning

Abstract Characterizing the 3D distribution of hydraulic properties in glacial sediments is challenging due to fine‐scale heterogeneity and complexity. Borehole lithological data provide high vertical resolution but low horizontal resolution. Geophysical methods can fill gaps between boreholes, prov...

Full description

Saved in:
Bibliographic Details
Main Authors: Nafyad Serre Kawo, Jesse Korus, Yaser Kishawi, Erin Marie King Haacker, Aaron R. Mittelstet
Format: Article
Language:English
Published: Wiley 2024-07-01
Series:Water Resources Research
Subjects:
ensemble machine learning
hydrofacies
glacial aquifer
parameterizations
hydraulic conductivity
Online Access:https://doi.org/10.1029/2023WR035910
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1029/2023WR035910

Similar Items