![]() We experimented with an image focusing technique to improve the poor depth resolution of surface data sets with small survey spreads. The method allows for a large range of survey scales, providing a tool for both exploration and environmental applications. The method has proven to be efficient by implementing the nonlinear conjugate gradient method with hierarchical parallelism and by using an optimal finite-difference forward modeling mesh design scheme. Our inversion algorithm is adapted from a frequency-domain electromagnetic (EM) inversion method primarily developed for large-scale hydrocarbon and geothermal energy exploration purposes. We have developed a flexible methodology for 3D (spectral) IP data inversion. However, the routine three-dimensional (3D) interpretation of voluminous induced polarization (IP) data sets still poses a challenge due to large computational demands and solution nonuniqueness. The conductive and capacitive material properties of the subsurface can be quantified through the frequency-dependent complex resistivity. ![]()
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