A new correlation based least-squares reverse time migration

Feipeng Li; Jinghuai Gao; Xiudi Jiang; Wenbo Sun

doi:10.1190/segam2018-2995223.1

A new correlation based least-squares reverse time migration

Feipeng Li
, Jinghuai Gao
, Xiudi Jiang
, Wenbo Sun

Faculty of Electronic and Information Engineering

Research output: Contribution to journal › Conference article › peer-review

Abstract

Least-squares reverse time migration (LSRTM) applies reverse time migration and demigration as migration and modeling operator to minimize the difference between the simulated and observed seismic data. We propose a new scheme for LSRTM and derive its corresponding conjugate gradient method to seek for the optimal image. By applying a correlation based objective function to LSRTM, we are able to emphasize not only on amplitude matching but also on phase information. The objective function incorporates the auto-correlation besides the cross-correlation. And it is the least-square of the two correlations. Numerical tests on synthetic models demonstrate that our new LSRTM scheme improves true amplitude imaging in the case of severely undersampled data and simultaneous source data.

Original language	English
Pages (from-to)	4236-4240
Number of pages	5
Journal	SEG Technical Program Expanded Abstracts
DOIs	https://doi.org/10.1190/segam2018-2995223.1
State	Published - 27 Aug 2018
Event	Society of Exploration Geophysicists International Exposition and 88th Annual Meeting, SEG 2018 - Anaheim, United States Duration: 14 Oct 2018 → 19 Oct 2018

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title = "A new correlation based least-squares reverse time migration",

abstract = "Least-squares reverse time migration (LSRTM) applies reverse time migration and demigration as migration and modeling operator to minimize the difference between the simulated and observed seismic data. We propose a new scheme for LSRTM and derive its corresponding conjugate gradient method to seek for the optimal image. By applying a correlation based objective function to LSRTM, we are able to emphasize not only on amplitude matching but also on phase information. The objective function incorporates the auto-correlation besides the cross-correlation. And it is the least-square of the two correlations. Numerical tests on synthetic models demonstrate that our new LSRTM scheme improves true amplitude imaging in the case of severely undersampled data and simultaneous source data.",

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AU - Li, Feipeng

AU - Gao, Jinghuai

AU - Jiang, Xiudi

AU - Sun, Wenbo

PY - 2018/8/27

Y1 - 2018/8/27

N2 - Least-squares reverse time migration (LSRTM) applies reverse time migration and demigration as migration and modeling operator to minimize the difference between the simulated and observed seismic data. We propose a new scheme for LSRTM and derive its corresponding conjugate gradient method to seek for the optimal image. By applying a correlation based objective function to LSRTM, we are able to emphasize not only on amplitude matching but also on phase information. The objective function incorporates the auto-correlation besides the cross-correlation. And it is the least-square of the two correlations. Numerical tests on synthetic models demonstrate that our new LSRTM scheme improves true amplitude imaging in the case of severely undersampled data and simultaneous source data.

AB - Least-squares reverse time migration (LSRTM) applies reverse time migration and demigration as migration and modeling operator to minimize the difference between the simulated and observed seismic data. We propose a new scheme for LSRTM and derive its corresponding conjugate gradient method to seek for the optimal image. By applying a correlation based objective function to LSRTM, we are able to emphasize not only on amplitude matching but also on phase information. The objective function incorporates the auto-correlation besides the cross-correlation. And it is the least-square of the two correlations. Numerical tests on synthetic models demonstrate that our new LSRTM scheme improves true amplitude imaging in the case of severely undersampled data and simultaneous source data.

UR - https://www.scopus.com/pages/publications/85121821259

U2 - 10.1190/segam2018-2995223.1

DO - 10.1190/segam2018-2995223.1

M3 - 会议文章

AN - SCOPUS:85121821259

SN - 1052-3812

SP - 4236

EP - 4240

JO - SEG Technical Program Expanded Abstracts

JF - SEG Technical Program Expanded Abstracts

T2 - Society of Exploration Geophysicists International Exposition and 88th Annual Meeting, SEG 2018

Y2 - 14 October 2018 through 19 October 2018

ER -

A new correlation based least-squares reverse time migration

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