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Information Journal Paper

Title

Seismic resolution enhancement using complex wavelet transform

Pages

  211-223

Abstract

 The Resolution of Seismic Data decreases due to tuning effect, attenuation, and absorption and has always been one of the challenges for the interpreters. We can perform Resolution enhancement in many ways, and in this regard, spiking deconvolution is the most critical approach. The ideal method to increase the Resolution is to magnify or retrieve weak high frequency signals to provide a broad frequency spectrum, and therefore, substantially compressed signals. In this paper, a Hilbert-wavelet derived method has been investigated for this purpose. First, the input data using the wavelet transform (WT) are decomposed and enhanced by the Hilbert Transform (HT) in the wavelet domain. The inverse WT yields compressed data based on current frequencies without any estimate and approximations. The Lack of significant distortions of recovered frequencies makes this process more distinctive than introduced methods. In this study, complex wavelet transform (CWT) and undecimated discrete wavelet transform (UDWT) are used. In fact, UDWT provides increased Resolution, but on the opposite side, CWT presents impressive results. It deliveres fewer artifacts because of its time-frequency representations due to its unique combination of shift-invariant. This approach has been proposed and implemented to shot gathers after preliminary processing.

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    APA: Copy

    goudarzi, alireza, & MOLLAEI, FARHAD. (2019). Seismic resolution enhancement using complex wavelet transform. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, 4(2 ), 211-223. SID. https://sid.ir/paper/268577/en

    Vancouver: Copy

    goudarzi alireza, MOLLAEI FARHAD. Seismic resolution enhancement using complex wavelet transform. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS[Internet]. 2019;4(2 ):211-223. Available from: https://sid.ir/paper/268577/en

    IEEE: Copy

    alireza goudarzi, and FARHAD MOLLAEI, “Seismic resolution enhancement using complex wavelet transform,” JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, vol. 4, no. 2 , pp. 211–223, 2019, [Online]. Available: https://sid.ir/paper/268577/en

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