WebTraditionally, depth-imaged data are inverted by converting it back into the time domain to enable the seismic data to be represented by convolution with a consistent wavelet, varying only slowly with both time and spatial location. We will describe an alternate approach that allows us to invert the seismic data directly in the depth domain ... WebMay 31, 2024 · Bayesian linearized AVO inversion is performed on time-domain seismic data; therefore, depth-imaged seismic cannot be inverted directly using this method and would require depth-to-time conversion ...
P-wave reflectivity parameterization and nonlinear inversion in …
WebDashed lines indicate the 95% confidence intervals. from publication: Direct Depth Domain Bayesian AVO Inversion We have developed a new approach to perform Bayesian linearized amplitude ... WebBayesian linearized AVO inversion is performed on time-domain seismic data; therefore, depth-imaged seismic cannot be inverted directly using this method and would require depth-to-time conversion before AVO inversion can be done. how many people should be in a band
Bayesian linearized rock-physics inversion GEOPHYSICS
WebD. Grana and T. Mukerji, 2015, Bayesian inversion of time-lapse seismic data for the estimation of static reservoir properties and dynamic property changes, Geophysical Prospecting, 63 (3), 637- 655. D. Grana, 2014, Probabilistic approach to rock physics modeling, Geophysics, 79 (4), D123-D143. WebAbstract Young’s modulus and Poisson ratio are essential parameters for rock brittleness evaluation. At present, prestack inversions of these parameters mostly adopt linear approximation, whereas the nonlinear inversion methods that are based on the exact Zoeppritz equation are seldomly conducted. Nevertheless, in the case of large incident … WebThe mathematical method adopted for the inversion is the Bayesian approach previously applied successfully to amplitude variation with offset linearized inversion. ... and H. … how can you create a logo