Enhanced 3D visualization based on inverse modeling of non-parallel 2D ERT profiles: an example for assessing COPR waste dump site in Umaran, India
摘要
Acquiring electrical resistivity tomography (ERT) profiles in a regular 2D grid is a labour-intensive, time-consuming, and costly process. To overcome these constraints, pseudo-3D visualizations generated from parallel 2D resistivity profiles are often used. Moreover, acquiring parallel 2D resistivity profiles in a grid is also often constrained by the presence of utilities, waste mounds, waterlogged patches, etc. Therefore, this work proposes a methodology for creating a 3D database from 2D inverse modelling results of resistivity profiles oriented in random directions. In this approach, the azimuth of the profiles is measured and utilized for introducing the y-coordinate. The methodology is tested on 2D ERT datasets acquired at a waste dumping site. 3D models generated through this approach have provided an enhanced visualization of conductive anomalous zones (i.e., < 15 Ohm.m) originating from the dumping site. Further, a comparison is drawn between the 3D volume generated from this approach and the quasi-3D volume generated by applying the 3D inversion algorithm on the compiled 2D ERT datasets. The 3D visualization based on the proposed approach shows better correlation with anomalous zones present in the 2D inversion results of individual profiles. Thus, the present work provides an alternative tool for creating enhanced 3D visualization models from the 2D ERT data acquired in non-parallel profiles.
Research HighlightsAn alternate workflow was devised to create a 3D database from non-parallel 2D ERT profiles. The generated 3D database can be utilized to create various quasi-3D models. The proposed workflow is tested on 2D ERT profiles acquired over the COPR waste dump site. Developed workflow can be generalized for parallel and non-parallel 2D ERT profiles.