Wavelet zero-phasing treatment method and device

Abstract

The invention provides a wavelet zero-phasing treatment method and a device. The method comprises the following steps of 1) for some well-logging record position-contained data volumes among all superimposed or offset seismic data, extracting a wavelet set comprising wavelets having the same amplitude spectrum and diversified in phase spectrum based on a statistics time window; 2) based on the wavelet set, estimating an optimal wavelet; 3) taking the inverse solution of the estimated optimal wavelet as a filtering operator; 4) filtering sampled data among the above superimposed or offset seismic data by using the filtering operator; 5) comparing an obtained filtering result and an obtained logging synthetic record with the existing geological knowledge, and judging whether the phases and the energies of reflecting interfaces are consistent or not; if consistent, adopting the estimated optimal wavelet as a zero-phase seismic wavelet; otherwise, adjusting the statistics time window and repeating the above steps 1) to 5); 6) adopting the inverse solution of the estimated optimal wavelet as the filtering operator and filtering the superimposed or offset seismic data by using the filtering operator so as to obtain zero-phased final superimposed or offset seismic data.

Description

technical field [0001] The present invention relates to the field of geophysical exploration seismic data processing, and more specifically, to a wavelet zero-phase processing method and device Background technique [0002] With the deepening of seismic exploration and development, the requirements for reservoir prediction accuracy are getting higher and higher. In some areas with thin reservoirs or thin interbeds, higher requirements are put forward for the longitudinal resolution of basic seismic data and the degree of correspondence between reflection horizons and real underground reflection information, which is convenient for precise prediction of reservoir locations and efficient development. [0003] Methods for improving longitudinal resolution in seismic data processing generally include pre-stack and post-stack deconvolution processing, spectral whitening processing, inverse Q filter compensation processing, etc. These processing methods can improve the main freque...

AI Technical Summary

Problems solved by technology

The degree of phase shift in processing is generally obtained based on processing experience or statistics of regional processing data, lacks stability, and energy matching is also based on the processing personnel's understanding of energy. There is no uniform standard, which is easy to confuse the interpreters

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