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Subsurface characterization using synchrosqueezing transform with high-order approximations

HUI LV
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School of Civil Engineering and Architecture, Nanchang Hangkong University, 696 South Fenghe Avenue, Nanchang 330063, P.R. China,
JSE 2020, 29(1), 1–14;
Submitted: 9 August 2018 | Accepted: 5 October 2019 | Published: 1 February 2020
© 2020 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

Lv, H., 2020. Subsurface characterization using synchrosqueezing transform with high-order approximations. Journal of Seismic Exploration, 29: 1-14. Time-frequency analysis methods always play an important role in subsurface seismic characterization. Due to the advantages in characterizing non-stationary signals, time-frequency analysis often obtains higher resolution than the competing methods. In this paper, we present a novel technique for subsurface seismic characterization based on a synchrosqueezing transform with high-order approximation. The new synchrosqueezing transform can obtain more accurate instantaneous frequencies by using the higher order approximations for both amplitude and phase in order to achieve a_ highly energy-concentrated time-frequency representation. We use a synthetic example to demonstrate an excellent time-frequency representation using the proposed method, i.e., to extract the time-frequency variation relation. Applications of the proposed method on two field data sets demonstrate the potential of the new method in detecting low-frequency anomaly and detecting paleo-channels with a higher time-frequency resolution. These two geological features are crucial for subsurface characterization since they are usually related with oil & gas.

Keywords
subsurface characterization
seismic signal processing
time-frequency analysis
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing
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