DocumentCode
226701
Title
Why Ricker wavelets are successful in processing seismic data: Towards a theoretical explanation
Author
Gholamy, Afshin ; Kreinovich, Vladik
Author_Institution
Comput. Sci. Program, Univ. of Texas at El Paso, El Paso, TX, USA
fYear
2014
fDate
9-12 Dec. 2014
Firstpage
11
Lastpage
16
Abstract
In many engineering applications ranging from engineering seismology to petroleum engineering and civil engineering, it is important to process seismic data. In processing seismic data, it turns out to be very efficient to describe the signal´s spectrum as a linear combination of Ricker wavelet spectra. In this paper, we provide a possible theoretical explanation for this empirical efficiency. Specifically, signal propagation through several layers is discussed, and it is shown that the Ricker wavelet is the simplest non-trivial solution for the corresponding data processing problem, under the condition that the described properties of the approximation family are satisfied.
Keywords
seismic waves; signal processing; wavelet transforms; Ricker wavelet spectra; seismic data processing; signal propagation; signal spectrum; Approximation methods; Convolution; Earthquakes; Fourier transforms; Probability density function; Random variables; Seismic waves;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence for Engineering Solutions (CIES), 2014 IEEE Symposium on
Conference_Location
Orlando, FL
Type
conf
DOI
10.1109/CIES.2014.7011824
Filename
7011824
Link To Document