TY - JOUR
T1 - A texture-based region growing algorithm for volume extraction in seismic data
AU - Orozco-del-Castillo, M. G.
AU - Cárdenas-Soto, M.
AU - Ortiz-Alemán, C.
AU - Couder-Castañeda, C.
AU - Urrutia-Fucugauchi, J.
AU - Trujillo-Alcántara, A.
N1 - Publisher Copyright:
© 2016 European Association of Geoscientists & Engineers
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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.
AB - 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.
KW - Genetic algorithms
KW - Principal component analysis
KW - Salt bodies
KW - Seeded-based region growing
KW - Seismic textures
KW - Statistical tests
KW - seismic textures
UR - http://www.scopus.com/inward/record.url?scp=84971273087&partnerID=8YFLogxK
U2 - 10.1111/1365-2478.12381
DO - 10.1111/1365-2478.12381
M3 - Artículo
SN - 0016-8025
VL - 65
SP - 97
EP - 105
JO - Geophysical Prospecting
JF - Geophysical Prospecting
IS - 1
ER -