Seismic data frequency expanding method and system

Abstract

The invention provides a seismic data frequency expanding method and system. The seismic data frequency expanding method comprises the following steps: acquiring a first-level frequency-reducing seismic waveform, a second-level frequency-reducing seismic waveform, a first-level frequency-increasing seismic waveform and a second-level frequency-increasing seismic waveform according to original seismic data; calculating four-frequency-division synthetic seismic data according to the first-level down-conversion seismic waveform, the second-level down-conversion seismic waveform, the first-level up-conversion seismic waveform and the second-level up-conversion seismic waveform; calculating multi-frequency fusion seismic data according to a preset four-frequency-division synthetic seismic dataproportion weight, a preset original seismic data proportion weight, original seismic data and the four-frequency-division synthetic seismic data; therefore, high-quality seismic data with high inheritance, high fidelity and richer geological information is provided for geological interpretation and subsequent reservoir inversion.

Description

technical field [0001] The invention relates to the field of geophysical exploration, in particular to a seismic data frequency extension method and system. Background technique [0002] With the continuous extension of the seismic exploration industry from exploration to development, the fine description of reservoirs has higher and higher requirements for seismic data. Geological interpreters urgently need high-quality, especially high-resolution seismic data to more accurately distinguish the characteristics of complex geological bodies such as thin reservoirs, sedimentary microfacies, and small fault blocks. [0003] The purpose of high-resolution seismic data processing is to reasonably restore the high-frequency and low-frequency information of seismic records and effectively expand the frequency bandwidth. At present, there are three types of commonly used seismic data frequency extension techniques: deconvolution techniques, absorption compensation techniques, and t...

AI Technical Summary

Problems solved by technology

[0004] Deconvolution technology has many theoretical assumptions for the model, which is difficult to satisfy the actual seismic propagation and geological conditions, and it is difficult to accurately extract seismic wavelets from seismic records

The above factors limit the application effect of deconvolution technology

The compensation effect of absorption compensation technology depends on the matching degree of the absorption attenuation model and the actual geological conditions and the estimation accuracy of Q value. In addition, the limitation of the stability of amplitude compensation also restricts its effect of improving resolution.

The key to frequency recovery technology based on time-spectrum is to reasonably estimate the amplitude and phase of the unsteady seismic wavelet, that is, to accurately extract the frequency recovery factor and phase correction. The gain of frequency band data over time satisfies the relative relationship of maintaining the amplitude in the time direction, so it is difficult to meet the requirements of relative amplitude maintaining processing

[0005] In summary, the quality of seismic data obtained by using the existing seismic data frequency extension technology is not high

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