VSP data novel seismic source wavelet self-adaptive extraction method based on Hilbert transformation

Abstract

The invention discloses a VSP data novel seismic source wavelet adaptive extraction method based on Hilbert transform, and the method specifically comprises the steps: selecting novel seismic source excitation point near-field vertical seismic profile (VSP) data with a high signal-to-noise ratio, ingeniously employing the mathematic characteristics of a Hilbert transform 90-degree phase shift filter on the premise that a seismic source wavelet model does not need to be assumed in advance, and adaptively extracting seismic wavelets with wide reference values as seismic source wavelets. The method has important significance and good application prospect in the research and development field of a safe, efficient and environment-friendly novel seismic wave active excitation source technology capable of replacing a traditional explosive source and the technical field of artificial active source seismic exploration. Compared with the prior art, the method has the advantages that the novel seismic source wavelet is extracted by using VSP data, so that the influence of environmental noise on wavelet extraction precision can be well reduced; a novel seismic source wavelet model does not need to be assumed in advance; the method is rigorous in theory and high in calculation efficiency.

Description

technical field [0001] The present invention relates to the research and development field of safe, efficient and environmentally friendly new seismic wave active excitation source that can replace the traditional explosive source and the field of artificial active source seismic exploration technology, and more specifically relates to a new type of seismic source wavelet adaptive based on Hilbert transform method of extraction. Background technique [0002] In seismic exploration work, wavelet is a very important concept. Its physical meaning can be understood as: the blasting of the seismic source produces a sharp pulse, and the waveform will change due to the influence of the complex medium composition in the underground during the propagation of the sharp pulse. , such as amplitude reduction, rapid attenuation of high-frequency components, broadening of the main lobe, generation of tails and side lobes, etc., forming a waveform with a certain duration and limited frequen...

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Problems solved by technology

[0004] At present, when extracting new source wavelets, the influence of environmental noise and other aspects is less considered, so the reliability of the extracted source wavelets will be reduced

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