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Seismic exploration multi-frequency data fusion method based on weight deconvolution

A technology for seismic data and seismic exploration, applied in the field of seismic exploration, can solve problems such as untargeted processing, and achieve the effect of avoiding the problem of excessive noise amplification

Active Publication Date: 2022-02-01
CHINA UNIV OF MINING & TECH
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  • Claims
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Problems solved by technology

Although the frequency band has been broadened, the difference in SNR between different data, especially in the frequency overlapping interval, has not been dealt with in a targeted manner. It is easy to introduce low SNR data in the fusion process and increase the inaccuracy of subsequent deconvolution processing. stability

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  • Seismic exploration multi-frequency data fusion method based on weight deconvolution
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  • Seismic exploration multi-frequency data fusion method based on weight deconvolution

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Embodiment Construction

[0035] The present invention will be further elaborated and described below in combination with specific embodiments. The technical features of the various implementations in the present invention can be combined accordingly on the premise that there is no conflict with each other.

[0036] The implementation process of the weighted deconvolution-based seismic exploration multi-frequency data fusion method in this embodiment can be expressed by the following formula:

[0037]

[0038] Among them, d exp (t) represents the objective function, d i (t) and x i (t) represents the i-th single-frequency seismic data and its corresponding deconvolution filter operator.

[0039] In order to better match the actual data, the expected output is constructed using the spectral characteristics of single-frequency seismic data. The characteristics of single-frequency seismic data are inherited at the low-frequency and high-frequency ends, and the intermediate frequency interval is comp...

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Abstract

The invention discloses a seismic exploration multi-frequency data fusion method based on weight deconvolution. The method comprises the following steps that: an objective function based on a plurality of single-frequency seismic data is constructed; a weight deconvolution filtering operator corresponding to the single-frequency seismic data is obtained based on the objective function by using the signal-to-noise ratio difference between different data, and the operator is applied to the corresponding single-frequency seismic data; and finally, superposition is performed to obtain a fusion result. According to the method, direct association between the objective function and the single-frequency seismic data is established, and weight filtering processing is performed by using the signal-to-noise ratio differences of the different data, so that the problem of possible excessive noise amplification in a subsequent deconvolution process caused by introduction of low-signal-to-noise-ratio data is avoided.

Description

technical field [0001] The invention belongs to the field of seismic exploration, in particular to a weighted deconvolution-based seismic exploration multi-frequency data fusion method. Background technique [0002] The underground structure detection technology based on waveform reflection imaging is an important technology in the field of exploration. Common methods include reflection seismic (elastic wave) and ground penetrating radar (electromagnetic wave). Two-way travel time to the subsurface reflection interface and back to the geophone. The principle of reflection seismic method is simple. Seismic waves are generated by exciting the source on the ground, sea surface or seabed. During the downward propagation of seismic waves, part of the energy will be reflected back by sedimentary strata or rock mass boundaries, fracture surfaces, etc. The reflected energy can be Received by a geophone, and then through a series of processing methods, high-resolution imaging of the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/30
CPCG01V1/30
Inventor 沈洪垒
Owner CHINA UNIV OF MINING & TECH
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