Developments in instrumentation and processing tools have made 3D resistivity surveys an effective approach in delineating complex geological environments. In the performance of these surveys a large number of data points are produced, and the properties of the dataset should be explored to optimize and coordinate interpretation efforts. In this study, a field 3D dataset was geometrically decomposed into near maximum-coupled (so-called radial) and near null-coupled (so-called tangential) subsets and inverted using a 3D approach. The results indicate that these two models may represent the subsurface at regional and local scales and help in the discrimination of different targets.
Presentation Date: Wednesday, October 17, 2018
Start Time: 9:20:00 AM
Location: Poster Station 13
Presentation Type: Poster