Internal multiple prediction using high order born modeling for LSRTM

Chen, Ruiding; Han, Liguo; Zhang, Pan; Dong, Shiqi; Yin, Yuchen

doi:10.1007/s11600-022-00830-7

Artykuł - szczegóły

Tytuł artykułu

Internal multiple prediction using high order born modeling for LSRTM

Autorzy

Chen Ruiding , Han Liguo , Zhang Pan , Dong Shiqi , Yin Yuchen

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-022-00830-7

Warianty tytułu

Języki publikacji

Abstrakty

In least squares migration (LSM), multiples are usually a type of noise. Although they contain information about underground structures, they also cause artifacts in imaging. Therefore, multiple attenuation is an important way to reduce these artifacts in LSM images. Reweighted least squares reverse time migration (RWLSRTM) can use the weighting matrix and the predicted multiples to eliminate artifacts. Because the LSM provides a high resolution model, we can predict the internal multiples by using high-order Born modeling. The method is based on the inverse scattering series (ISS), and the difference is that it forwards the modeling of the internal multiples in the time domain; the model is constructed by the RWLSRTM. Because this method does not require performing as many Fourier transforms as the ISS method, it requires less calculation. We have applied the predicted multiples in the RWLSRTM to remove the artifacts caused by the multiples. The RWLSRTM image can also serve as a parameter of multiple predictions and can make the results of multiple predictions more accurate. The results of numerical tests using synthetic data show that this method can remove artifacts of internal multiples well. A comparison with the ISS method shows that our method can reduce the calculation.

Słowa kluczowe

least squares migration reverse time migration internal multiple

migracja metodą najmniejszych kwadratów

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2022

Tom

Vol. 70, no 4

Strony

1491--1505

Opis fizyczny

Bibliogr. 42 poz.

Twórcy

autor

Chen Ruiding

chenrdjlu@qq.com

College of Geoexploration Science and Technology, Jilin University, Changchun 120026, China

https://orcid.org/0000-0003-0920-3579

autor

Han Liguo

hanliguo@jlu.edu.cn

College of Geoexploration Science and Technology, Jilin University, Changchun 120026, China

autor

Zhang Pan

College of Geoexploration Science and Technology, Jilin University, Changchun 120026, China

autor

Dong Shiqi

College of Geoexploration Science and Technology, Jilin University, Changchun 120026, China

autor

Yin Yuchen

College of Geoexploration Science and Technology, Jilin University, Changchun 120026, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

Typ dokumentu

Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-6eb6e3cd-68f6-4d91-ac14-312a00bd416a