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Deconvolution negates these effects to an extent and thus increases the resolution of the seismic data. Seismic data, or a seismogram, may be considered as a convolution of the source wavelet, the reflectivity and noise. [5] Its deconvolution is usually implemented as a convolution with an inverse filter.
In image processing, blind deconvolution is a deconvolution technique that permits recovery of the target scene from a single or set of "blurred" images in the presence of a poorly determined or unknown point spread function (PSF). [2] Regular linear and non-linear deconvolution techniques utilize a known PSF.
In mathematics, deconvolution is the inverse of convolution. Both operations are used in signal processing and image processing. For example, it may be possible to recover the original signal after a filter (convolution) by using a deconvolution method with a certain degree of accuracy. [1]
There are three main processes in seismic data processing: deconvolution, common-midpoint (CMP) stacking and migration. [44] Deconvolution is a process that tries to extract the reflectivity series of the Earth, under the assumption that a seismic trace is just the reflectivity series of the Earth convolved with distorting filters. [45]
Raytheon 704 used as an onsite seismic data processing system in Mogadishu, Somalia in 1974. Like most minicomputers of the late 1960s, the 704 was designed to be mounted in a rack mount case, with the CPU being 9U (15.75 in, 40 cm) tall. [2] [11]
For land acquisition, different types of sources may be used depending on the acquisition settings. Explosive sources such as dynamite are the preferred seismic sources in rough terrains, in areas with high topographic variability or in environmentally sensitive areas e.g. marshes, farming fields, mountainous regions etc. [4] Such type of sources needs to be buried (coupled) into the ground in ...
The Richardson–Lucy algorithm, also known as Lucy–Richardson deconvolution, is an iterative procedure for recovering an underlying image that has been blurred by a known point spread function. It was named after William Richardson and Leon B. Lucy , who described it independently.
[1] [2] This is done by deconvolution of the incoming vertical and longitudinal components of the seismogram, which removes the common part of the components - namely, the source and travel path information. [3] The resulting waveform is the receiver function. Similarly, a teleseismic S-wave will generate an S-to-P conversion beneath the ...