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Information Journal Paper

Title

One-dimensional SURE-LET method using various wavelets for random noise attenuation of seismic data

Pages

  113-144

Abstract

 In seismic data processing, the processing steps are completely affected by the data quality. Reflection seismic data are often affected by various noises including random and coherent noises. Low signal to noise ratio can produce problems for stacking and migration steps, which ultimately leads to poor interpretation. There are many methods that can be used for noise removal or attenuation of seismic data. The basic assumption of the Fourier transform is that it considers stationary signal, thus, for non-stationary signals, it is not always applicable. Based on this fact that the Wavelet Transform decomposes a function by translation and stretching, it can provide time-scale representation of a signal. In this paper, we have used (SURE)-LET method for noise removal in the Wavelet Transform domain. In the (SURE)-LET method, any assumptions of noise free signals are avoided.

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  • Cite

    APA: Copy

    Latifirad, reza, goudarzi, alireza, & SEPAHVAND, MOHAMMADREZA. (2017). One-dimensional SURE-LET method using various wavelets for random noise attenuation of seismic data. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, 2(2 ), 113-144. SID. https://sid.ir/paper/268634/en

    Vancouver: Copy

    Latifirad reza, goudarzi alireza, SEPAHVAND MOHAMMADREZA. One-dimensional SURE-LET method using various wavelets for random noise attenuation of seismic data. JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS[Internet]. 2017;2(2 ):113-144. Available from: https://sid.ir/paper/268634/en

    IEEE: Copy

    reza Latifirad, alireza goudarzi, and MOHAMMADREZA SEPAHVAND, “One-dimensional SURE-LET method using various wavelets for random noise attenuation of seismic data,” JOURNAL OF RESEARCH ON APPLIED GEOPHYSICS, vol. 2, no. 2 , pp. 113–144, 2017, [Online]. Available: https://sid.ir/paper/268634/en

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