Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Full-waveform inversion (FWI) processing provides an improved and higher-resolution velocity model. This study focuses on how to use FWI products in seismic interpretation. One such product is FWI-derived reflectivity (FDR), which often has better illumination than migrated seismic images. We want to go beyond structural interpretation and utilize FDR data in reservoir characterization (e.g., fault imaging, resolution, and amplitude fidelity). FWI can be performed up to the maximum frequency available in the input seismic data. However, in the case of our study area in offshore Trinidad, the FDR data set is based on acoustic FWI with frequency only up to 10 Hz. While comparing amplitude extractions from full-stack and FDR data, we observe complementary amplitude distribution. Similar complementary information is found when we decompose the data in frequency bands (higher-frequency migrated seismic data and lower-frequency FDR data). We discuss the integration of the FDR volume in seismic interpretation with data examples. We combine FDR data with full-stack seismic data in two ways to generate new attributes for reservoir mapping and to reduce vertical and lateral uncertainty.
Full-waveform inversion (FWI) processing provides an improved and higher-resolution velocity model. This study focuses on how to use FWI products in seismic interpretation. One such product is FWI-derived reflectivity (FDR), which often has better illumination than migrated seismic images. We want to go beyond structural interpretation and utilize FDR data in reservoir characterization (e.g., fault imaging, resolution, and amplitude fidelity). FWI can be performed up to the maximum frequency available in the input seismic data. However, in the case of our study area in offshore Trinidad, the FDR data set is based on acoustic FWI with frequency only up to 10 Hz. While comparing amplitude extractions from full-stack and FDR data, we observe complementary amplitude distribution. Similar complementary information is found when we decompose the data in frequency bands (higher-frequency migrated seismic data and lower-frequency FDR data). We discuss the integration of the FDR volume in seismic interpretation with data examples. We combine FDR data with full-stack seismic data in two ways to generate new attributes for reservoir mapping and to reduce vertical and lateral uncertainty.
The horizontal fractures in the strata will close in the compaction effect of overlying strata, while the vertical cracks are widely developed, which can be equivalent to HTI (transverse isotropy with a horizontal axis of symmetry) medium. When an S-wave propagates into HTI media, the shear wave will divide into two types of waves: a fast S-wave and slow S-wave. When the strata of HTI are thin and overlapping, called the thin interbeds model, the wave field exhibits complex primary reflections, converted waves, and multiples. We introduce a new second-order approximation of the total reflection coefficient, with the incidence angle lower than the critical angle in thin-interbed HTI media using a recursive algorithm. We verify the effectiveness of the second-order approximation by analyzing the energy of multiples. Comparing the second-order approximate solution that degenerates the HTI medium into isotropic and Kennett’s exact solution, we find that our solution has an accuracy of over 99.9% in any azimuth, with the incidence angle lower than the critical angle under P-wave incidence. However, our solution of the SP wave field is suitable for incidence azimuth angles between 0–75° and 120–180°, with the lowest accuracy occurring at an incidence angle of 25° and a relative error of 6.4%. The approximate solution in the SS wave field has the same applicable range as the SP wave, with the maximum error of 6.3% occurring at the incident angle of 1°. This new second-order approximate formula for the total reflection coefficient of thin interbeds composed of HTI helps us to understand the reflection characteristics of complex thin interbeds. It also lays a theoretical foundation for the development of AVO (Amplitude Versus Offset) analysis and inversion techniques for lithological and stratigraphic oil and gas reservoirs.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.