Translations:Implementing deconvolution/1/en

From SEG Wiki
Jump to navigation Jump to search
ADVERTISEMENT

All of the above, of course, holds within the limitations of statistical errors imposed by noise, by the computational approximations, and by the finiteness of the data, in addition to the unavoidable specification errors imposed by introduction of an idealized model. The success of the method of predictive deconvolution depends largely on the validity of the basic hypothesis that the wavelet is minimum delay and that the reflectivity function within a specified time window is random and uncorrelated. The power of the method of predictive deconvolution rests on its stability and robustness and on the fact that the only required data are those of the received seismic trace. Often incorporated in comprehensive schemes, the method of predictive deconvolution continues to be used to process field records in many seismic environments, both land and marine. Its general success shows that the basic hypotheses are valid over a wide range of operating conditions.