Method for improving converted-wave seismic data resolution and velocity inversion method thereof

Abstract

The present invention provides a method for improving converted-wave seismic data resolution and converted-wave seismic data high-precision velocity inversion method thereof. The wavelet transform multi-scale information is employed to obtain the frequency data amplitude spectrum requiring frequency prolongation and a curve fitting amplitude spectrum in the wavelet frequency domain, the frequency-broadening operators of the curve fitting amplitude spectrum of the high-frequency logging record amplitude spectrum are obtained to perform frequency-broadening processing of the wavelet domain data in the frequency band range, and the wavelet domain data is subjected to wavelet reverse transformation to a time domain to obtain high-resolution and high-precision converted-wave data; and moreover, and the converted-wave data after the frequency band broadening is subjected to the velocity inversion to obtain finer inversion results. The method for improving converted-wave seismic data resolution and the velocity inversion method thereof can obtain high-resolution and high-precision converted-wave seismic data and can obtain finer inversion results.

Description

Technical field [0001] The invention relates to the field of oil and gas exploration seismic data processing, in particular to a method for improving the resolution of converted wave seismic data and a method for high-precision velocity inversion of converted wave seismic data. Background technique [0002] At present, with the continuous deepening of multi-wave seismic exploration, improving the prediction accuracy of oil and gas reservoirs has always been a key research issue in multi-wave exploration. Because the converted waves acquired by multi-wave exploration have limited resolution, narrow frequency bands, and low accuracy, they cannot meet the requirements of the subsequent reservoir prediction to distinguish the minimum thickness of multiple thin layers. Therefore, how to improve the resolution of seismic converted waves is to increase the speed. The key to performance accuracy. [0003] Deconvolution is a commonly used processing technology to improve the resolution of ...

AI Technical Summary

Problems solved by technology

Because the converted wave acquired by multi-wave exploration has limited resolution, narrow frequency range, and low accuracy, it cannot meet the requirements of subsequent reservoir prediction and resolution of the minimum thickness of multi-thin layers. Therefore, how to improve the resolution of seismic converted wave is to improve the velocity reflection The key to precision

[0003] Deconvolution is a commonly used processing technology to improve the resolution of seismic data, but these methods only use the information of seismic data itself to obtain deconvolution operators, and redistribute energy through this operator to broaden the high-frequency part of seismic data. , while the low-frequency part is often not well preserved, and the fidelity of the data after frequency increase is poor

Coupled with the absorption of seismic waves by the formation, the ground seismic data lacks corresponding high-frequency information, which is limited by a narrow frequency band and cannot effectively improve the resolution of converted waves

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