Abstract
This paper compares the results of hybrid inversion, elastic impedance inversion, and prestack waveform inversion on a single data set. The method used for prestack inversion is a Monte-Carlo-based optimization method called genetic algorithm (GA). GA performs a full waveform inversion of normal moveout (NMO) uncorrected prestack seismic data, giving a detailed elastic earth model. In hybrid inversion, elastic models from GA inversion and/or well information are used to construct low-frequency background trends for the Pand the S-wave impedance values. These background trends are then used in the poststack inversion of the amplitude variation with offset (AVO) intercept and pseudoS-wave sections to generate the Pand the S-wave impedance sections. In elastic impedance inversion, elastic models from GA and/or well information are used to generate the low-frequency background trends for the elastic impedance for a range of incidence angles. These background trends are then used in the poststack inversion for the same range of angle stacks to generate the elastic impedance values for those angles. Once obtained, the elastic model is extracted from a linear fit to the logarithm of the elastic impedance.
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