1887

Abstract

Summary

A lot of research has been done in the past to capture seismic features based on different edge- and texture-based attributes. In this paper, we apply a phase-based edge detection algorithm, namely phase congruency (PC), and a texture-based algorithm, namely gradient of texture (GoT), to localize a salt dome within SEAM dataset. Phase congruency (PC) can highlight small discontinuities in images with varying illumination and contrast using the congruency of phase in Fourier components. PC can not only detect the subtle variations in the image intensity but can also highlight the anomalous values to develop a deeper understanding of post-migrated seismic data. In contrast, GoT measures the perceptual dissimilarity of texture between two neighboring windows at each point in a seismic image along time or depth, and crossline directions, respectively. The GoT can effectively detect subtle variations characterized by changes in the texture of seismic data even in the absence of strong seismic reflections. We propose an interpreter-assisted workflow based on an attribute map obtained using either PC or GoT for computational seismic interpretation with an application to subsurface structures delineation within migrated seismic volumes. Experimental results show the effectiveness of PC and GoT for salt dome delineation.

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/content/papers/10.3997/2214-4609.201700710
2017-06-12
2020-07-03
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References

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