The search towards images of small size geological features has been very important in our industry. Amplitudes of diffraction waves in general are much weaker than amplitudes of specular reflections and therefore may be masked and being more challenging to be extracted. In the past many efforts have been attempted to improve the quality of attribute analyses on total wave field data to extract the images of these small size features for risk minimization. However, accuracy of attribute analyses results very much depends on the quality of seismic data. In this paper we showcase two field data examples in which the total wave field has been separated into specular reflection and diffraction energy prior to migration with different objectives. Due to the coherent character of diffraction waves prior to migration, additional opportunities are created for advanced denoise and azimuthal analyses. In addition, multi-term estimation of multiples and optimal subtractions can be performed through the separation of wave fields into specular reflections and diffractions prior to migration. With certain data conditions it is beneficial to integrate both pre- and post-migration wave field separation methods to minimize uncertainties and to expand the boundaries towards optimal diffraction imaging of small size geological features.
Presentation Date: Monday, October 12, 2020
Session Start Time: 1:50 PM
Presentation Time: 3:05 PM
Location: Poster Station 11
Presentation Type: Poster
