INVERSIÓN SÍSMICA POR ALGORITMO GENÉTICO CON MIGRACIÓN DE POBLACIONES PARA ESTIMAR ANISOTROPÍA HTI
A genetic algorithm was implemented in MATLAB to perform seismic inversion and determine HTI anisotropy, which was applied to a seismic project in the Middle Magdalena Valley basin in Colombia. The algorithm, which includes the concept of migration of populations (MP), was tested in an isotropic con...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2016 |
| País: | Colombia |
| Institución: | Universidad Industrial de Santander |
| Repositorio: | Repositorio UIS |
| Idioma: | español |
| OAI Identifier: | oai:noesis.uis.edu.co:20.500.14071/5358 |
| Acceso en línea: | https://revistas.uis.edu.co/index.php/revistaboletindegeologia/article/view/5853 https://noesis.uis.edu.co/handle/20.500.14071/5358 |
| Access Level: | acceso abierto |
| Palabra clave: | HTI anisotropy seismic inversion genetic algorithm anisotropía HTI inversión sísmica algoritmo genético |
| Sumario: | A genetic algorithm was implemented in MATLAB to perform seismic inversion and determine HTI anisotropy, which was applied to a seismic project in the Middle Magdalena Valley basin in Colombia. The algorithm, which includes the concept of migration of populations (MP), was tested in an isotropic condition (parallel to the fractures), and in a condition of anisotropy (perpendicular to fractures), showing better performance in the testing phase with real data. The presence of weak anisotropy is determined in the study area with associated fractures oriented in azimuth of 45 °, being perpendicular to the current stress regime. This result would explain the weak anisotropy related to fractures associated with a paleo-stress regime. |
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