Seismic Attribute Analysis Applied to Seismostructural Interpretation: Case Study in the Rio do Peixe Basin, NE Brazil

Seismic Attribute Analysis Applied to Seismostructural Interpretation: Case Study in the Rio do Peixe Basin, NE Brazil

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DOI:

https://doi.org/10.21680/2447-3359.2024v10n2ID37398

Abstract

This research paper investigates the seismic attributes utilized for the interpretation of structural features within the Rio do Peixe Basin (RPB). Employing the OpendTect software, we conducted a comprehensive seismic analysis that included data conditioning and the application of various seismic attributes to enhance the visualization of geological structures such as faults and folds. The methodology involved loading original seismic data, applying dip-steered median and diffusion filters, and utilizing attributes like similarity, pseudorelief, and thinned fault likelihood to identify discontinuities. Our findings reveal that specific attributes significantly improve the interpretation of structural complexities in the RPB, highlighting fault surfaces with notable continuity and scale. The results indicate a correlation between the applied seismic attributes and the geological context of the basin, which is characterized by its half-graben geometry. This study contributes to the understanding of the RPB's geological framework, showcasing the effectiveness of advanced post-stack seismic processing techniques in elucidating subsurface structures. Ultimately, the results gained from this research have implications for future geological explorations and resource management in the region.

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Published

05-12-2024

How to Cite

PEREIRA, J. V. F.; ANTUNES, A. F. . Seismic Attribute Analysis Applied to Seismostructural Interpretation: Case Study in the Rio do Peixe Basin, NE Brazil: Seismic Attribute Analysis Applied to Seismostructural Interpretation: Case Study in the Rio do Peixe Basin, NE Brazil. Notheast Geoscience Journal, [S. l.], v. 10, n. 2, p. 474–490, 2024. DOI: 10.21680/2447-3359.2024v10n2ID37398. Disponível em: https://periodicos.ufrn.br/revistadoregne/article/view/37398. Acesso em: 19 dec. 2024.

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