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Fuzzy inference system design for multiple attenuation with quantitative validation criteria using Auto Correlation Energy Ratio (ACER)

M. ZAREI,  H. HASHEMI,  M. BAGHERI
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Institute of Geophysics, University of Tehran, Tehran, Iran.,
JSE 2023, 32(3), 205–227;
Submitted: 8 December 2022 | Accepted: 22 March 2023 | Published: 1 June 2023
© 2023 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
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Abstract

Zarei, M., Hashemi, H. and Bagheri, M., 2023. Fuzzy inference system design for multiple attenuation with quantitative validation criteria using Auto Correlation Energy Ratio (ACER). Journal of Seismic Exploration, 32: 205-227. Many methods for multiple attenuation are based on numerous signal properties for years. Each multiple attenuation technique has advantages and disadvantages and is effective for a particular type of multiples. Recently, fuzzy logic has shown wide application in seismic processing and interpretation. A method for multiple attenuation using Radon transform by fuzzy inference system is introduced to run the multiple attenuations step adaptively and automatically. We applied an intelligent adaptive approach based on fuzzy logic to attenuate multiples in each super common midpoint gather automatically and find good results compared to the manual defined mute function in the radon domain. Applying the new method to synthetic and real data has shown the power of the proposed method for multiple attenuations in the area with substantial two-way travel time differences that occurred due to the different water depths. A quantitative validation criterion named Auto Correlation Energy Ratio (ACER) is presented to guarantee that the final result in multiple attenuations using the new proposed approach is correct.

Keywords
multiple attenuation
fuzzy logic
Radon transform
marine data
water depth
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Journal of Seismic Exploration, Print ISSN: 0963-0651, Published by AccScience Publishing
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