Acoustic impedance estimation using a gradient-based algorithm with total variation semi-norm regularization
We present an algorithm to estimate blocky images of the subsurface acoustic impedance (AI) from seismic reflection data. We use the total variation semi-norm (TV) to regularize the inversion and promote blocky solutions which are, by virtue of the capability of TV to handle edges properly, adequate...
Guardado en:
| Autores principales: | Pérez, Daniel Omar, Velis, Danilo Rubén |
|---|---|
| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/72813 |
| Aporte de: |
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