Combining Clustering Methods With MPS to Estimate Structural Uncertainty for Hydrological Models

Combining Clustering Methods With MPS to Estimate Structural Uncertainty for Hydrological Models

This study presents a novel expansion of the clay-fraction (CF)/resistivity clustering method aiming at developing realizations of subsurface structures based on multiple point statistics (MPS). The CF-resistivity clustering method is used to define a data driven training image (TI) for MPS simulati...

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Bibliographic Details
Main Authors: Troels Norvin Vilhelmsen, Esben Auken, Anders Vest Christiansen, Adrian Sanchez Barfod, Pernille Aabye Marker, Peter Bauer-Gottwein
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Earth Science
Subjects:
groundwater modeling
uncertainty analysis
multiple point statistics
structural uncertainty
SkyTEM
SNESIM
Online Access:https://www.frontiersin.org/article/10.3389/feart.2019.00181/full

Internet

https://www.frontiersin.org/article/10.3389/feart.2019.00181/full

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