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CEEMD-SPWVD time-frequency spectrum analysis-based post-stack seismic fluid prediction method

A fluid prediction and time-spectrum technology, applied in the field of seismic wave research, can solve the problems of insufficient focus of wavelet transform frequency domain data and the inability to correctly extract accurate frequency component data, etc., to overcome modal aliasing and endpoint effects, high time The effect of improving the frequency resolution and improving the prediction accuracy

Inactive Publication Date: 2017-08-08
SOUTHWEST PETROLEUM UNIV
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Problems solved by technology

[0010] In view of the defect that the wavelet transform existing in the above background technology has insufficient focus of the extracted frequency domain data due to the wavelet basis, resulting in the inability to correctly extract accurate frequency component data, the present invention aims to provide a time-spectrum analysis based on CEEMD-SPWVD post-stack seismic fluid prediction method

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  • CEEMD-SPWVD time-frequency spectrum analysis-based post-stack seismic fluid prediction method
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  • CEEMD-SPWVD time-frequency spectrum analysis-based post-stack seismic fluid prediction method

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[0032] Step 1 of the present invention: first define the operator E j( ), when a signal is given, the jth mode is obtained by EMD; w i (n) means zero-mean Gaussian white noise N(0,1) with unit variance; i=1,...,I;ε k Coefficients allow selection of the signal-to-noise ratio at each stage. Let the seismic post-stack gather data be the input target signal x(t), use different noises to achieve repeated decomposition I times through EMD, calculate the overall average value, and define it as the IMF of the target signal x(t) 1 (t), the formula is

[0033]

[0034] Step 2: For k=1, calculate the first-order residual r 1 (t), the formula is

[0035] r 1 (t)=x(t)-IMF 1 (t);

[0036] Step 3: EMD implements r 1 (t)+ε 1 E. 1 (w i (t)), until the first IMF(t) condition is met, and define the population mean as IMF 2 (t), the formula is

[0037]

[0038] Step 4: For k=2,...,K, calculate the k-order residual r k (t), the formula is

[0039] r k (t)=r k-1 (t)-IMF k (t...

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Abstract

The present invention discloses a CEEMD-SPWVD time-frequency spectrum analysis-based post-stack seismic fluid prediction method which solves the defect in the prior art that due to a wavelet basis reason of the wavelet transform, the focusing capability of the extracted frequency domain data is insufficient, so that the accurate frequency component data can not be extracted correctly. The post-stack seismic fluid prediction method of the present invention comprises the steps of utilizing a complete ensemble empirical mode decomposition (CEEMD) method to decompose the seismic trace set data to obtain a plurality of IMF frequency components, carrying out the cross-correlation calculation on an original seismic trace set signal and the IMF components, removing the IMF Redundant components having low cross-correlation coefficients, and then carrying out the SPWVD calculation on the effective IMF components and superposing to obtain a CEEMD-SPWVD time frequency spectrum, and finally calculating the frequency attenuation gradient of the obtained CEEMD-SPWVD time frequency spectrum, thereby guaranteeing the situation that the effective frequency of the post-stack seismic data can be extracted most accurately.

Description

technical field [0001] The invention belongs to the technical field of seismic wave research, and in particular relates to a post-stack seismic fluid prediction method based on CEEMD-SPWVD time-frequency spectrum analysis. Background technique [0002] The propagation process of seismic waves in the underground medium always produces absorption and attenuation in terms of amplitude and frequency. The factors causing seismic wave attenuation can be divided into internal and external factors: internal factors include solids in the medium, fluids and fluids, and energy loss caused by friction between solids and fluids, and external factors are mainly caused by the inhomogeneity of the medium scattering. Actual data show that when the geological body contains fluids, such as oil, gas, and water, the reflection coefficient of seismic waves will increase, and the high-frequency absorption attenuation is particularly obvious, showing an attenuation trend of the e index. Therefore,...

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Application Information

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IPC IPC(8): G01V1/36
CPCG01V1/362G01V2210/514
Inventor 杨巍张桓朱仕军
Owner SOUTHWEST PETROLEUM UNIV
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