One of the most important tools for carrying out seismic reservoir characterization is impedance inversion, which transforms seismic amplitudes representing subsurface rock interfaces into impedance attributes that represent interval properties. The key steps that lend confidence in impedance inversion and quantitative prediction made therefrom are, proper seismic data conditioning, robust initial models, and adequate parameterization in inversion analysis. In this study we elaborate on the data conditioning aspect. We begin by providing an appropriate workflow for seismic data conditioning in the offset-azimuth domain which enhances the quality of the far-offset stack and then highlight the impact of adequate velocity model used in offset-angle transformation. These key steps are often overlooked, and we demonstrate the added value that our proposed workflow brings about for effective seismic reservoir characterization by showing comparisons of data examples, with and without its application.
Presentation Date: Tuesday, September 17, 2019
Session Start Time: 1:50 PM
Presentation Time: 1:50 PM
Location: Poster Station 7
Presentation Type: Poster
