High-resolution prestack seismic inversion using a hybrid FISTA least-squares strategy

A new inversion method to estimate high-resolution amplitude-versus-angle attributes (AVA) attributes such as intercept and gradient from prestack data is presented. The proposed technique promotes sparse-spike reflectivities that, when convolved with the source wavelet, fit the observed data. The i...

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Detalles Bibliográficos
Autores principales: Pérez, Daniel Omar, Velis, Danilo Rubén, Sacchi, Mauricio D.
Formato: Articulo
Lenguaje:Inglés
Publicado: 2013
Materias:
Geofísica
Algorithm
Inversion
Amplitude Variation with Offset (AVO)
Least squares
Seismic attributes
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/99562
https://ri.conicet.gov.ar/11336/23298
http://geophysics.geoscienceworld.org/content/78/5/R185
http://library.seg.org/doi/10.1190/geo2013-0077.1
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-99562
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Geofísica
Algorithm
Inversion
Amplitude Variation with Offset (AVO)
Least squares
Seismic attributes
spellingShingle Geofísica
Algorithm
Inversion
Amplitude Variation with Offset (AVO)
Least squares
Seismic attributes
Pérez, Daniel Omar
Velis, Danilo Rubén
Sacchi, Mauricio D.
High-resolution prestack seismic inversion using a hybrid FISTA least-squares strategy
topic_facet Geofísica
Algorithm
Inversion
Amplitude Variation with Offset (AVO)
Least squares
Seismic attributes
description A new inversion method to estimate high-resolution amplitude-versus-angle attributes (AVA) attributes such as intercept and gradient from prestack data is presented. The proposed technique promotes sparse-spike reflectivities that, when convolved with the source wavelet, fit the observed data. The inversion is carried out using a hybrid two-step strategy that combines fast iterative shrinkagethresholding algorithm (FISTA) and a standard least-squares (LS) inversion. FISTA, which can be viewed as an extension of the classical gradient algorithm, provides sparse solutions by minimizing the misfit between the modeled and the observed data, and the l1-norm of the solution. FISTA is used to estimate the location in time of the main reflectors. Then, LS is used to retrieve the appropriate reflectivity amplitudes that honor the data. FISTA, like other iterative solvers for l1-norm regularization, does not require matrices in explicit form, making it easy to apply, economic in computational terms, and adequate for solving large-scale problems. As a consequence, the FISTA+LS strategy represents a simple and cost-effective new procedure to solve the AVA inversion problem. Results on synthetic and field data show that the proposed hybrid method can obtain highresolution AVA attributes from noisy observations, making it an interesting alternative to conventional methods.
format Articulo
Articulo
author Pérez, Daniel Omar
Velis, Danilo Rubén
Sacchi, Mauricio D.
author_facet Pérez, Daniel Omar
Velis, Danilo Rubén
Sacchi, Mauricio D.
author_sort Pérez, Daniel Omar
title High-resolution prestack seismic inversion using a hybrid FISTA least-squares strategy
title_short High-resolution prestack seismic inversion using a hybrid FISTA least-squares strategy
title_full High-resolution prestack seismic inversion using a hybrid FISTA least-squares strategy
title_fullStr High-resolution prestack seismic inversion using a hybrid FISTA least-squares strategy
title_full_unstemmed High-resolution prestack seismic inversion using a hybrid FISTA least-squares strategy
title_sort high-resolution prestack seismic inversion using a hybrid fista least-squares strategy
publishDate 2013
url http://sedici.unlp.edu.ar/handle/10915/99562
https://ri.conicet.gov.ar/11336/23298
http://geophysics.geoscienceworld.org/content/78/5/R185
http://library.seg.org/doi/10.1190/geo2013-0077.1
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