3D Modeling and Bedrock Determination Using Electrical Resistivity Inversion

Electrical tomography method is an optimized network acquisition method which uses appropriate array to detect subsurface targets. Acquired data gathered from acquisition through the application of various methods of optimization such Gaussian- Newton, Semi-Newton are used for modeling and interpretations. Tikhonov regularization terms have been used here to minimize the objective function. In this study, the bedrock has been selected for modeling the electrical tomography as it had special and sufficient resistivity contrast with the surrounding environment. Acquisitions were gathered using Schlumberger array in an orderly network. For the inversion of the data, IPI2WIN software was used and for 3D modeling VOXLER software was applied. Results showed that the bedrock was recognized for its high electrical resistivity against its surrounding area. The relative particle condition and the existence of clay can also be estimated in the obtained levels qualitatively.