Deconvolution
Wavelet of input data (in black) and the corresponding output wavelet (in red) after Optimum Deconvolution.
SeisUP has a complete line of deconvolution applications. Listed below are a few applications of decon that are featured in SeisUP.

Surface Consistent Deconvolution (SCDECON) uses any combination of line, source, receiver, CMP, and offset components to derive accurate deconvolution operators, which are then applied to the input traces.  It has been shown that wavelet stability is increased in land-acquired data when only the line, source, and receiver components are applied while removing the CMP and offset components.  The module also outputs the components to file for analysis and viewing.

Adaptive Deconvolution (ADAPTDCN) is based upon the use of a simple adaptive algorithm which allows continuous updating of the deconvolution operator as the seismic trace is processed.  Adaptive deconvolution is effective at collapsing refraction, multiple, and surface noise energies.  The adaptive algorithm has it roots in the communications field, where it is used to improve the signal-to-noise ratio of the data.  The technique is based on the use of a continuously adaptive linear prediction operator in which the operator coefficients are updated using an adaptive algorithm.

Time-Variant Zero-Phase Deconvolution (TVZD) is a time domain process that performs continuous time variant zero phase deconvolution.  TVZD will dynamically whiten the frequency spectrum of a trace within a user specified frequency pass band.  The input trace is partitioned into a number of sub-bands and the amplitudes of these sub-bands are equalized using a continuously time variant technique.

Q Inverse Filter (QCOMP) attempts to reverse the effects of wave propagation through an anelastic (not perfectly elastic) earth.  The two major effects of anelastic wave propagation are wave amplitude reduction and dispersion (different velocities for different frequencies).  This program is a phase only Q compensation program, so it only attempts to compensate for the dispersion effect.

Source Signature Deconvolution (SSDECON) will remove the signature of a known signal from the seismic trace data.  The seismic signal can be considered as the sum of the convolution of the source signal with the instruments, geophones, and the earth's response.  If the source signature is known or estimated, then it can be removed from the seismic trace.  If the source signature has been recorded through the same instruments and geophones as the seismic data then the effects of these can be removed, leaving the effects of the earth's response only.

Optimum Deconvolution (OPTDCN) determines post-stack optimum deconvolution operators that would enhance the signal amplitudes by "spiking" them within a specified bandwidth.  This module measures the signal-to-noise ratio in defined windows of data volumes as a function of frequency.  It then designs an optimal filter such that all usable bandwidth is extracted.