Geophysical Modelling and Inversion

Exploration Application Examples:

Geothermal exploration – geologic structure, massive Sulphide and Ni-Cu-PGE exploration – dense and magnetic ore bodies, porphyry exploration – zones of magnetite destruction and density contrast between intrusive and country rocks, iron Oxide Copper-Gold exploration – density and magnetic contrasts between alteration zones, iron formation (BIF) targeting and delineation in highly magnetic environments, uranium exploration – silicification / desilicification, oil & Gas exploration geometry and internal structure.

Modelling at Different Stages of Exploration:

Large – scale regional inversions for targets identification and ranking, local exploration using basic constraining information, detailed follow – up inversions integrated all available physical property and geological information, constrained delineation modeling with drillhole geological logs combined with density and magnetic susceptibility measurements, 3D Inversion of historical data for property evaluation.


Geologically constrained inversion of geophysical data is a powerful method for predicting geology beneath cover. The cross seeks 3D physical property models that are consistent with the geology and explain measured geophysical responses. The recovered models can guide mineral explorers to prospective host rocks, structures, alteration and mineralization.

This thesis provides a comprehensive analysis of how the University of British Columbia Geophysical Inversion Facility (UBC-GIF) gravity and magnetic inversions can be applied to subsurface mapping and exploration by demonstrating the necessary approach, data types, and typical results.

DCIP2D or 3D.

IPI2 Win is a 1-D Direct current (DCIP) resistivity and induced polarization (IP) sounding inversion program with the Pole-dipole is 2-D direct current (DCIP) resistivity, chargeability, conductivity (IP) sounding 2D/3D inversion program with the RES 2D inversion software.

1-D or 2D/3D cross sections and plan view interpretation and pseudo-section resistivity. Automatic estimation of a layered model for DC resistivity and chargeability data. Automatic estimation of a smooth model, Inverse modelling to layered model data. Export of data, model and smooth model to ASCII files including all data collected in data files.