Joint multinary inversion of gravity and magnetic data using Gramian constraints

Lin, Wei (University of Utah) | Zhdanov, Michael S. (Minmetals Exploration & Development)


This paper introduces a novel approach to the joint inversion of gravity and magnetic data based on multinary transformation of the model parameters and Gramian constraints. By combining these two concepts, the joint multinary inversion using Gramian constraints not only makes it possible to explicitly exploit the sharp contrasts of the density and magnetic susceptibility between the host media and anomalous targets in the inversion of gravity and magnetic data, but also provides consistent spatial boundaries of the anomalous targets in the distributions of density and magnetic susceptibility. We demonstrate that, this method can be effectively used for the joint inversion of the full tensor gravity gradiometry (FTG) and the total magnetic intensity (TMI) data by applying the developed algorithm to the field data collected in the area of the McFualds Lake in northwestern Ontario, Canada. The joint inversion results provide a geological model with high resolution for the exploration of magmatic chromite deposits.

Presentation Date: Tuesday, October 16, 2018

Start Time: 8:30:00 AM

Location: 213B (Anaheim Convention Center)

Presentation Type: Oral