Coherence attribute applications on seismic data in various guises — Part 1

Abstract

We have previously discussed some alternative means of modifying the frequency spectrum of the input seismic data to modify the resulting coherence image. The simplest method was to increase the high-frequency content by computing the first and second derivatives of the original seismic amplitudes. We also evaluated more sophisticated techniques, including the application of structure-oriented filtering to different spectral components before spectral balancing, thin-bed reflectivity inversion, bandwidth extension, and the amplitude volume technique. We further examine the value of coherence computed from individual spectral voice components, and alternative means of combining three or more such coherence images, providing a single volume for interpretation.

Application of seismic attributes to delineate the geological features of the Malay Basin

“…It is a measure of similarity between waveforms or traces, not only that but also coherency is an excellent means to display the beaches and deltas, the fact that enables the interpreter to have better understanding about the progression and retrogression to construct the sequence stratigraphy framework of any study area. Moreover, it allows for the submarine canyons, mudflows and understanding of the stratigraphic deposition from the seismic reflection data (Chopra & Marfurt, 2018). Variance is also used to extract a reflection continuity or edge attribute volume from an input seismic volume (Figure 6).…”