11/07/2024

Prof. Dr. Guillaume Caumon

4:00 pm

Faults exert a significant control on the architecture of rock units in the subsurface and on the associated heterogeneity. Whereas 3D reflection seismic images provide an excellent source of information to map faults in three dimensions, limited bandwidth, noise and processing errors may lead to ambiguities in the prediction of fault location. In some cases  (or at some scales), fault surfaces must, however, be inferred only from sparse drillhole data or 2D sections. In this presentation, I describe two complementary approaches to address these challenges: Graph theory can be used to associate sparse interpretations, while marked point processes with interactions open a whole new field to test various models addressing also the question of unseen or subscale objects. These two frameworks are able to produce a large set of possible subsurface geometric fault models, which can be further refined using Bayesian approaches, either on geophysical data or on subsurface flow data.