Summary

The inverse problem associated with recovering a 3D conductivity model from geophysical EM data has been solved using a QMR-FFT fast integral equation forward modeling algorithm embedded in a regularized Gauss- Newton optimization driver. The fast integral equation algorithm is used to solve the forward modeling problem for a heterogeneous conductivity model divided into a large number of cells. The inversion minimizes both the data misfit and a model functional. The functional is designed to produce a smooth model and regularizes the inversion.

Keywords:
artificial intelligence, em inversion, bhp billiton, inverse problem, inversion algorithm, reservoir characterization, geophysics, conductivity model, equation, inversion
Subjects:
Reservoir Characterization, Seismic processing and interpretation
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2002. Society of Exploration Geophysicists
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