
%0 Journal Article
%A Martinez, Cericia 
%A Wedge, Daniel 
%A Li, Yaoguo 
%A Holden, Eun-Jung 
%T Constraining gravity gradient inversion with a source depth volume
%J ASEG Extended Abstracts
%D 2015/03/12
%V 2015
%N 1
%P 1-4
%K 
%R https://doi.org/10.1071/ASEG2015AB177
%U https://www.publish.csiro.au/paper/ASEG2015AB177 
%X Efficiently extracting the maximum amount of information from gravity gradient data is challenging. Interpretation often takes place in either the data domain or model domain. Here, we present a workflow that utilizes two interpretation techniques that can result in better characterization of the subsurface. Using a method that estimates depth to source, we obtain a depth volume of estimated source locations. The depth volume is then used to constrain inversion of gravity gradient data in the form of a reference model and 3D model weighting. We demonstrate that this combined approach improves the ability to recover sources at depth. 
