A high-resolution processing technique for improving the energy of weak signal based on matching pursuit

Shuyan Wang, Yanchun Wang, Chen Yu, Xueqing Liu, Bowen Yang


This paper proposes a new method to improve the resolution of the seismic signal and to compensate the energy of weak seismic signal based on matching pursuit. With a dictionary of Morlet wavelets, matching pursuit algorithm can decompose a seismic trace into a series of wavelets. We abstract complex-trace attributes from analytical expressions to shrink the search range of amplitude, frequency and phase. In addition, considering the level of correlation between constituent wavelets and average wavelet abstracted from well-seismic calibration, we can obtain the search range of scale which is an important adaptive parameter to control the width of wavelet in time and the bandwidth of frequency. Hence, the efficiency of selection of proper wavelets is improved by making first a preliminary estimate and refining a local selecting range. After removal of noise wavelets, we integrate useful wavelets which should be firstly executed by adaptive spectral whitening technique. This approach can improve the resolutions of seismic signal and enhance the energy of weak wavelets simultaneously. The application results of real seismic data show this method has a good perspective of application.


Wave and wave analysis; Data processing; Thin-mutual reservoir identification

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DOI: https://doi.org/10.4401/ag-6905
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Published by INGV, Istituto Nazionale di Geofisica e Vulcanologia - ISSN: 2037-416X