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Adaptive Time-Synchroextracting S Transform and Its Application in Fault Identification


Abstract:

Time-frequency (TF) analysis is an important tool for seismic signal analysis, and through traditional methods, it is difficult to achieve high TF resolution and energy a...Show More

Abstract:

Time-frequency (TF) analysis is an important tool for seismic signal analysis, and through traditional methods, it is difficult to achieve high TF resolution and energy aggregation. In this letter, we propose the adaptive time-synchroextracting S transform (ATSEST) for seismic data processing and interpretation. The method first calculates the scale parameter of the window function through the Fourier spectrum of the signal to obtain the adaptive S transform spectrum. After that, the final result is obtained by extracting the TF coefficients at the group delay (GD) and removing a large amount of fuzzy energy in the TF spectrum. The results of the synthetic example TF analysis show that the method can improve the localization ability of transient features of seismic signals. We apply the method to the fault identification of field data, and the results show that the coherent attribute slices extracted by using ATSEST can well characterize the fault.
Published in: IEEE Geoscience and Remote Sensing Letters ( Volume: 20)
Article Sequence Number: 7505705
Date of Publication: 09 October 2023

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