Tag Archives: off-fault deformation

Conference Presentations

UMass geomechanics presentations at the European Geophysical Union

Although Hanna Elston and Michele Cooke had planned to attend the EGU in person during their planned trip to Germany, they had to settle for virtual participation when the meeting was pushed to late May.

Publications

New paper on predicting off-fault deformation from fault geometry

Chaipornkaew, Laainam, Hanna M. Elston, Michele L. Cooke, Tapan Mukerji and Stephan Graham, accepted. Using Convolution Neural Networks to estimate off-fault deformation from fault mapsGeophysical Research Letters. doi.org/10.1029/2021GL096854
(Open access preprint at doi:10.1002/essoar.10507909.1.)

plot on left shows the CNN prediction against the label truth. The graph at right shows the application of the experiment trained CNN on crustal fault maps.
Left: Correlation of prediction with true label from the strike-slip experiments.
Right: comparison of CNN predictions of off-fault deformation with three different types of geologic estimates.
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