Statistics – Computation
Scientific paper
Oct 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007georl..3419301g&link_type=abstract
Geophysical Research Letters, Volume 34, Issue 19, CiteID L19301
Statistics
Computation
6
Exploration Geophysics: Computational Methods: Seismic, Exploration Geophysics: Computational Methods: Potential Fields (1214), Exploration Geophysics: Magnetic And Electrical Methods (5109), Mathematical Geophysics: Inverse Theory
Scientific paper
Accurate characterization and monitoring of complex subsurface environments require the integration of all the available geophysical, geochemical and geological information. I developed a generalized cross-gradient procedure that seeks multiple geometrically similar images that simplify the integration of cross-property subsurface information. I jointly invert near-surface P-wave, S-wave, DC resistivity and magnetic data sets recorded at a field site and compound an integrated subsurface (geospectral) image based on the multiple property images found. It is shown that, by analogy to applications in satellite imagery, the geospectral image assembles the multiple subsurface parameter values under a common structural framework that facilitates their visualization and analysis.
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