In a recent publication, Ricker (1977) gave integral representations for his generating, displacement, velocity, and acceleration functions pertaining to the propagation of a seismic pulse in a visco-elastic medium. 4, p. 769-792. . The term wavelet was introduced by Ricker in 1940 to describe the limited duration functions that he created to model seismic phenomena. (PDF) Why Ricker wavelets are successful in processing seismic data ... Both of these processes assume randomness in the seismic reflectivity sequence and also make . The Ricker wavelet is a zero-phase wavelet meaning that the energy is centered about \(t=0\) and is . That is, the maximum energy is at the beginning of the wavelet. In this paper, we provide a possible theoretical explanation for this empirical efficiency . The Ricker wavelet, a seismic wavelet, was used in this paper. ABSTRACT The widely used wavelets in the context of the matching pursuit are mostly focused on the time-frequency attributes of seismic traces. The attenuated Ricker wavelet basis for seismic trace ... - Earthdoc Denoising of pre‐stack seismic data using subspace estimation ... - Wiley Ricker wavelet - Wikipedia In seismic exploration, statistical wavelet estimation and deconvolution are standard tools. zero the second derivative of the convolving wavelet. Usually, these would be absorbing boundary conditions or PML but for now I keep them reflective. Acknowledgments Home Page Title Page JJ II J I Page6of34 Go Back Full Screen Close Quit 5.Ricker Wavelet: Reminder We need to describe how the amplitude x(t) of a seismic signal changes with time t. In 1953, N. Ricker proposed to use a linear combination of wavelets . 1.2 Ricker wavelet: reminder The seismic data consists of seismic signals detected at different spatial locations. Post-stack inversion. The next step in my process would be to deconvolve the outcome of the convolution with the same ricker wavelet. The first wavelet was created earlier, in 1910, by Haar as an alternative to the Fourier transform developed in 1807 by Fourier . The widely used wavelets in the context of the matching pursuit are mostly focused on the time-frequency attributes of seismic traces. The algorithm assumes an initial wavelet (ricker is ok) well log individual files and a seismic cube (currently reading numpy binary [npy]). Numerical tests for seismic resolution (codes included)
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