Work

Generalized semblance and multi-CMP traveltime parameter estimation using Singular Value Decomposition

Year: 2025

Type: article

Abstract: This work introduces a novel approach using a multiparametric equation specifically applied within the multi-CMP domain. Our method leverages SVD semblance, capturing the most coherent signal in the first eigenimage. This enables the determination of 2D stacking parameters for a set of CMP families, including velocity and dip of events between lateral CMPs, through analysis akin to conventional velocity analysis. Unlike traditional methods employed in CRS and CDS, such as global and local optimization strategies, our approach does not require an initial velocity model or additional parameters. CRS methods typically involve three parameters in 2D, while CDS methods may require more. In contrast, our method focuses on key parameters like velocity and dip, reducing complexity while maintaining accuracy. The use of the power method results in a reduced computational cost without sacrificing precision in stacking parameter estimation. The method was applied to both synthetic data with varying noise levels and real data from the Jequitinhonha and Camamu Basins, located along the Brazilian passive margin. The results were successful in enhancing the signal-to-noise ratio and improving the continuity of reflectors, demonstrating the robustness and practical utility of our approach.

Source: Journal of Applied Geophysics

DOI: 10.1016/j.jappgeo.2025.105915

Authors: Anderson S. Santos, Bjorn Ursin, Michelângelo G. Silva, Milton J. Porsani

Institutions: Universidade Federal da Bahia, Norwegian University of Science and Technology, Conselho Nacional de Desenvolvimento Científico e Tecnológico

Language: English

Topic: Seismic Imaging and Inversion Techniques

Subfield: Geophysics

Field: Earth and Planetary Sciences

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,180

Funder: Fundação de Amparo à Pesquisa do Estado da Bahia