A Distance-based Prior Model Parameterization for Constraining Solutions of Spatial Inverse Problems

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Multiple-point geostatistical modeling based on the cross-correlation functions (2012, unknown): “patterns (see, for example, [2, 3, 6, 35, 57, 70, 71]).”
Inverse methods in hydrogeology: Evolution and recent trends (2014, methodology): “A possible solution to account for the prior model uncertainty is to use multiple prior632 models as done by Suzuki and Caers (2008) although at a very large computational demand.633 2.7.”
Scenario Reduction Applied to Geostatistical Simulations (2013, background): “Building on earlier work by Arpat (2005) and Suzuki and Caers (2008), they note that the classic Hausdorff distance does not take into account the connectivity between wells, and suggest that distance measures based on connectivity or on stream-lines are more appropriate.”
Stochastic Simulation of Patterns Using Distance-Based Pattern Modeling (2010, methodology): “Hausdorff distance has also been used for parameterizations of geological models (Suzuki and Caers, 2008).”
The Direct Sampling method to perform multiple‐point geostatistical simulations (2010, background): “One can choose training images that reflect various spatial models [Suzuki and Caers, 2008] and that integrate external information about spatial variability, such as geological knowledge not contained in the data itself.”