Use of spectral decomposition, conditioning and seismic attributes techniques to highlight faults in a 3D seismic data located in the Estreito/Alto do Rodrigues region
Spectral decomposition; Seismic attributes; Structural filtering; Fault detection; Potiguar Basin
The application of spectral decomposition and structurally oriented filtering techniques has proven effective in improving the structural interpretation of seismic data. This study aimed to optimize the seismic bandwidth and enhance the signal-to-noise ratio in a 3D seismic volume from the Estreito/Alto do Rodrigues field, located in the central-southern portion of the Potiguar Rift. The adopted methodology involved segmenting the seismic data into overlapping frequency sub-bands (15–85 Hz), applying the Dip Stee-ring Median Filter (DSMF), and using seismic attributes such as similarity, pseudo-relief, Fault Likelihood (FL), and Thinned Fault Likelihood (TFL) to improve fault identification. The results showed that lower-frequency bands allow for the visualization of deeper structures in the seismic sections, while higher-frequency bands exhibit more segmented reflectors, which may hinder seismic interpretation. The combined use of spectral filtering and attribute analysis enabled a more detailed interpretation of fault-related structures, including a flower structure, a possible inversion structure, and major faults trending northeast-southwest.