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Sensitivity study using a genetic algorithm: inversion of amplitude variations with slowness
Author(s) -
Ji Ying,
Singh Satish C.,
Hornby Brian E.
Publication year - 2000
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1046/j.1365-2478.2000.00226.x
Subject(s) - slowness , amplitude , amplitude versus offset , geology , algorithm , inversion (geology) , sensitivity (control systems) , waveform , a priori and a posteriori , geodesy , geophysics , optics , computer science , seismology , physics , engineering , electronic engineering , tectonics , telecommunications , radar , philosophy , epistemology
A sensitivity study of elastic parameters in amplitude‐variation‐with‐slowness (AVS) for small‐ and large‐offset seismic data is presented. In order to handle the non‐linearity associated with waveform or amplitude beyond the critical slowness, an inversion algorithm based on Bayes' theory is used. A genetic algorithm was used to obtain the a posteriori probability density (PPD) function. The sensitivity analysis is performed on synthetic data containing P‐wave as well as converted S‐wave reflections. Four different two‐layer models, which represent the typical range of AVS responses associated with the gas‐sands normally encountered in exploration, were used to examine how well the elastic parameters can be inverted for different parametrizations by comparing the PPD functions. The sensitivity study results suggest that including wide‐angle data in the inversion can greatly enhance the quality of inversion. The converted S‐wave reflections can provide valuable extra information that can be used to extract elastic parameters. The results with noisy data demonstrate that the contrast of density and three velocity ratios can be estimated robustly with wide‐angle reflection data.