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A texture‐based region growing algorithm for volume extraction in seismic data |
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| Authors: | MG Orozco‐del‐Castillo M Cárdenas‐Soto C Ortiz‐Alemán C Couder‐Castañeda J Urrutia‐Fucugauchi A Trujillo‐Alcántara |
| Institution: | 1. Facultad de Ingeniería, UNAM, Av. Universidad No. 3000, Universidad Nacional Autónoma de México, D.F., México;2. Instituto Mexicano del Petróleo, Eje Central Lázaro Cárdenas 152, México, México;3. Centro de Desarrollo Aeroespacial, Instituto Politécnico Nacional, México, D.F., México;4. Programa de Perforaciones en Océanos y Continentes, Instituto de Geofísica, Universidad Nacional Autónoma de México, México, México |
| 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. |
| Keywords: | Salt bodies Genetic algorithms Principal component analysis Seismic textures Statistical tests Seeded‐based region growing seismic textures |