High-Performance Computational And Geostatistical Experiments For Testing The Capabilities Of 3-D Electrical Resis’Iiance Tomography

This project explores the feasibility of combining geologic insight, geostatistics, and high-performance<br>computing to analyze the capabilities of 3-D electrical resistance tomography (ERT), Geostatistical<br>methods are used to characterize the spatial variability of geologic facies that control subsurface<br>variability of permeability and electrical resistivity. Synthetic ERT data sets are generated<br>from geostatistical realizations of alluvial facies architecture. The synthetic data sets enable comparison<br>of the “truth” to inversion results, quantification of the ability to detect particular facies at<br>particular locations, and sensitivity studies on inversion parameters.