Wavelets - Chapter 9 - SEG Wiki
2021年5月5日 · What is a wavelet? From a seismic processor’s point of view, a wavelet is one of the basic building blocks used to construct the seismic models on which seismic-processing methods are based. In the various processing steps, the wavelets are removed from the seismic data to yield the final sections.
In this paper, four methods of seismic wavelet estimation are investigated:the statistical method, the full wavelet method, the constant phase method and the Roy White method.
Ricker wavelet - SEG Wiki
2021年5月4日 · Accurate estimation of wavelets is essential in seismic processing (Ulrych et al., 1995). A wavelet commonly used in generating synthetic seismograms is the Ricker wavelet, named after Norman Ricker (1896–1980). The Ricker wavelet is …
Ricker, Ormsby, Klander, Butterworth – A Choice of Wavelets
Every time a synthetic seismogram is generated, the geophysicist must first choose the type of wavelet that will be used and then the specific parameters needed to define the wavelet.
The wavelet - SEG Wiki
A wavelet is defined as an energy signal that is concentrated in a certain time interval. As a result, an arrival time, or origin time, can be associated with a wavelet. The arrival time is the reference point of the wavelet and usually is designated as time zero.
Chapter 3 - Seismic wavelets and resolution
2014年6月5日 · A fundamental aspect of any seismic interpretation in which amplitudes are used to map reservoirs is the shape of the wavelet. This chapter presents introductory material relating to the nature of seismic wavelets; how they are defined, described and manipulated to …
(PDF) Generalized seismic wavelets - ResearchGate
2015年11月1日 · Using an Ormsby wavelet, we get seismic images with a quality that lie in between that of the 30 Hz and 60 Hz Ricker, even though the peak frequency is lower.
非稳态地震记录时变子波估计 - geophy.cn
Seismic wavelet estimation is an important part of seismic data processing and interpretation, whose reliability is directly related to the accuracy of deconvolution and inversion. The methods for seismic wavelet estimation can be classified into two basic types:deterministic and statistical.
Understanding the Seismic Wavelet* - Search and Discovery
The seismic wavelet is the filter through which geology is viewed when interpreting the image provided by seismic data. The common assumption that seismic data contain a broad band - zero phase wavelet is nearly always wrong.
The seismic wavelet: Its modelling, acquisition, processing ...
The objective of the seismic data interpreter is to have a volume processed with a wavelet that has the sharpest (resolvable) peak as possible at the geologic boundaries, minimum side-lobes, and a wide band in the low and in the high end of the spectrum.