Joint inversion of gravity and magnetotelluric data from the Ernest-Henry IOCG deposit with a variation of information constraint
Max Moorkamp
Abstract
We present results for joint inversion of magnetotelluric and gravity data based on a newly developed variation of information constraint. Based on a publicly available dataset from the Ernest-Henry Iron-Ore Copper Gold deposit, we demonstrate how this constraint can improve subsurface models and yield resistivity-density relationships for the region of interest. Compared to individual inversions of each dataset we observe significantly increased structural detail in the joint inversion models. Furthermore, cross-plots of resistivity vs. density show clear clustering and uncover trends that are not identifiable from the individual inversion results. While further tests are necessary to investigate the robustness of some of the features, these first results show the great potential of the variation of information constraint as a general purpose method in joint inversion and showcase the additional information that can be obtained from integrated geophysical imaging.