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A texture‐based region growing algorithm for volume extraction in seismic data
- Source: Geophysical Prospecting, Volume 65, Issue 1, Jan 2017, p. 97 - 105
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- 01 Jan 2015
- 01 Jan 2016
- 24 May 2016
Abstract
ABSTRACT
We present a novel approach to automated volume extraction in seismic data and apply it to the detection of allochthonous salt bodies. Using a genetic algorithm, we determine the optimal size of volume elements that statistically, according to the U‐test, best characterize the contrast between the textures inside and outside of the salt bodies through a principal component analysis approach. This information was used to implement a seeded region growing algorithm to directly extract the bodies from the cube of seismic amplitudes. We present the resulting three‐dimensional bodies and compare our final results to those of an interpreter, showing encouraging results.
© 2017 European Association of Geoscientists & Engineers © 2016 European Association of Geoscientists & Engineers