ACOUSTIC IMPEDANCE INVERSION RECOVERY STRATEGY IN DEPTH DOMAIN SEISMIC DATA USING INTEGRATION OF LOG CALIBRATION TECHNIQUE AND MULTICHANNEL INVERSION WITH ANISOTROPIC TOTAL VARIATION REGULARIZATION

• Main Author: Andang Nugraha, Defiska
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/51523
• Institution: Institut Teknologi Bandung

With the development of subsurface imaging techniques through depth migration, the acoustic impedance inversion process in depth domain seismic data began to be developed and still a challenging idea to be researched. The challenge that must be faced when conducting acoustic impedance inversion in the depth domain is the wavelet condition that varies with depth according to the variation of the medium velocity so that convolution cannot be directly carried out to produce synthetic seismic and nonlinear relationships between the reflection coefficient series and the acoustic impedance. This study seeks to overcome these two challenges by performing log calibration by changing the data domain to the stationary domain through pseudodepth transformation so that convolution can be operated which then is carried out well-seismic correlation in the depth domain after reverse transformation and inversion with anisotropic total variation regularization which is operated to group of seismic traces (multichannel) at once. Experiments on synthetic data are performed first to see the effect of input parameter variations on the log calibration and inversion processes before implemented on real data. Pseudodepth transformation plays a role in the domain conversion and wavelet decomposition where the process is influenced by pseudovelocity, interval velocity model, and estimated wavelet results in which there is a relation of multiplication pseudovelocity with the dominant wavenumber of a wavelet is constant in the interval velocity model used. Comparatively, the results of the inversion of synthetic and real data using the proposed method in this study are able to provide contrast and spatial coherence better than the standard inversion process without regularization.