Application of Surface-Related Multiple Elimination Technique to Enhance 2D Seismic Data, Matruh Canyon, North Western Desert, Egypt

Marine seismic data are usually embedded with surface-related multiples energy, which are troublesome in imaging an accurate seismic cross-section. In this paper, surface-related multiple elimination (SRME) technique is introduced and applied for attenuating surface-related multiples energy in 2D seismic data from Matruh Canyon. Surface-related multiple elimination (SRME) is an algorithm that predicts all surface multiples by a convolutional process applied with minimal preprocessing. Once multiples are predicted, the multiples are removed from the data by adaptive subtraction. SRME is a simple and effective technique that gives satisfactory results and great enhance the seismic data by removing multiples without effect on the primaries and no need for the subsurface model.

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Publication Details

Journal
Journal of Egyptian Geophysical Society
Published
2024-12-01
DOI
https://doi.org/10.21608/jegs.2024.407427
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
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article

Application of Surface-Related Multiple Elimination Technique to Enhance 2D Seismic Data, Matruh Canyon, North Western Desert, Egypt

Azza Mahmoud Abd El-Latif El-Rawy
Journal of Egyptian Geophysical Society
Seismic Imaging and Inversion Techniques
article

Application of Surface-Related Multiple Elimination Technique to Enhance 2D Seismic Data, Matruh Canyon, North Western Desert, Egypt

Azza Mahmoud Abd El-Latif El-Rawy
article en

Abstract

Marine seismic data are usually embedded with surface-related multiples energy, which are troublesome in imaging an accurate seismic cross-section. In this paper, surface-related multiple elimination (SRME) technique is introduced and applied for attenuating surface-related multiples energy in 2D seismic data from Matruh Canyon. Surface-related multiple elimination (SRME) is an algorithm that predicts all surface multiples by a convolutional process applied with minimal preprocessing. Once multiples are predicted, the multiples are removed from the data by adaptive subtraction. SRME is a simple and effective technique that gives satisfactory results and great enhance the seismic data by removing multiples without effect on the primaries and no need for the subsurface model.

Journal of Egyptian Geophysical SocietyVol. 22(1)
Ain Shams University (EG)
Climate action
Openalex Percentile: Top 74%
Seismic Imaging and Inversion Techniques
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