Gravity and magnetic surveys have been extensively employed in various fields like regional geology studies, environmental engineering, and mineral exploration. However, interpreting the data from these surveys remains a challenge because the potential field inversion lacks uniqueness. To address this issue, combining gravity and magnetic data in a joint inversion helps to narrow down the possible solutions. This study introduces a method for jointly inverting gravity and magnetic data, specifically focusing on the sediment–basement interface. Within this framework, a 3D voxel-type inversion using joint Gramian-based techniques incorporates a depth-to-basement model as a guiding constraint. This approach was applied to gravity and magnetic data collected around the Victoria Mine area in Nevada, USA. The joint inversion successfully produced 3D models representing the density and susceptibility of both unconsolidated sediments and the basement underlying the surveyed region.

Gravity and gravity gradiometry surveys have been widely used in mining and petroleum exploration. Interest in borehole gravity measurements has grown because they can help to detect deep targets. The best way to obtain a 3D density distribution is by the joint interpretation of surface and borehole gravity data which is a very challenging problem. The 3D inversion would be a choice for the quantitative interpretation of gravity and gravity gradiometry data. However, it is a complicated and time consuming procedure that is very dependent on the a priori model and constraints used. This paper demonstrates that joint iterative migration of surface and borehole gravity and gravity gradiometry data can effectively image subsurface density distribution. Presentation Date: Tuesday, October 16, 2018 Start Time: 8:30:00 AM Location: 213B (Anaheim Convention Center) Presentation Type: Oral