A texture-based region growing algorithm for volume extraction in seismic data

作者：Orozco del Castillo M G^*; Cardenas Soto M; Ortiz Aleman C; Couder Castaneda C; Urrutia Fucugauchi J; Trujillo Alcantara A

来源：Geophysical Prospecting, 2017, 65(1): 97-105.

DOI：10.1111/1365-2478.12381

• Salt bodies
• Genetic algorithms
• Principal component analysis
• Seismic textures
• Statistical tests
• Seeded-based region growing
• seismic textures

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.

• 出版日期2017-1