The invention relates to a
deconvolution method which suppresses
noise and takes
reflection coefficient recovery as a target while improving earthquake recording resolution, and especially relates to a time-varying
wavelet based
deconvolution method for frequency division
processing for the purpose of solving the problems of reduced
signal-to-
noise ratio and unstable solution despite
resolution improvement by use of a conventional
deconvolution method. The method comprises the following steps: extracting time-varying wavelets in an earthquake recording by use of a
well control multi-channel statistical autocorrelation method; extracting high and
low frequency operators according to well data, for constructing high and
low frequency information corresponding to an original earthquake recording as constraint conditions; performing
diffusion filtering
processing on frequency division information; and performing simultaneous deconvolution on the original earthquake recording and the high and
low frequency information. By using the method provided by the invention, earthquake data and
well logging data are integratedly combined, uncontrollable deconvolution factors extracted by use of a conventional deconvolution method can be avoided, resolution is effectively improved while the
noise is suppressed, the attenuation of earthquake signals is taken into consideration, and the
time domain point spectrum whitening function is realized.