Seismic data compression and reconstruction method
A technology of seismic data and reconstruction algorithm, applied in seismology, seismic signal processing, geophysical measurement, etc., can solve the needs of real-time compression and high-precision reconstruction that cannot be satisfied at the same time, and cannot meet the real-time compression and data compression of seismic exploration systems. The degree of compression affects the reconstruction effect and other issues, to achieve the effect of easy hardware implementation, reducing burden, alleviating transmission speed and storage pressure
Inactive Publication Date: 2018-04-20
JILIN UNIV
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[0006] Although the above existing technologies can be used for seismic data compression and reconstruction, the compression factor in common compression algorithms is at the cost of loss of signal accuracy, and the degree of data compression directly affects the reconstruction effect, and the demands of real-time compression and high-precision reconstruction cannot be
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[0032] The present invention will be described in detail below in conjunction with the accompanying drawings.
[0033] Such as figure 1 As shown, a seismic data compression and reconstruction method includes the following steps:
[0034] A. Input the actual seismic monitoring data x;
[0035] B. The input data is sparsely represented by the wavelet base Ψ, and the sparse coefficient θ=Ψx is obtained,
[0036] Sparse representation process: θ = Ψx means that the actual seismic data x is subjected to wavelet transformation to obtain the sparse coefficient θ;
[0037] C. Construct the chaotic sequence measurement matrix Φ;
[0038] Matrix construction: The construction of the chaotic sequence measurement matrix is the key to seismic data compression. According to the construction steps of the measurement matrix of the present invention, an appropriate chaotic sequence is selected and a reasonable initial value is set to meet the RIP condition required by the measurement matr...
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The invention relates to a seismic data compression and reconstruction method. The seismic data compression and reconstruction method comprises the following steps: firstly, carrying out wavelet transformation on seismic data to increase the compressibility of the seismic data; secondly, constructing a measurement matrix capable of being realized by hardware according to a chaos sequence; carryingout compression observation on the seismic data subjected to the wavelet transformation by utilizing a chaotic measurement matrix; finally, improving a Bayesian wavelet tree structure compressed sensing reconstruction algorithm; recovering complete seismic data by utilizing an improved BTSWCS-vb algorithm. According to the seismic data compression and reconstruction method, the result of an actual data test shows that compared with a common random measurement matrix, the chaotic measurement matrix is convenient to be realized by the hardware; a plurality of chaotic measurement matrixes are adopted so that real-time compression with the seismic data compression ratio of 0.2 to 0.55 can be realized and the influence, caused by the chaos measurement matrixes, especially a Logistic sequence matrix, on a reconstruction effect, is also very good; the improved reconstruction algorithm, namely the BTSWCS-vb algorithm, is adopted so that the reconstruction precision is improved and the reconstruction time is remarkably shortened.
Description
technical field [0001] The invention relates to a seismic data processing method, in particular to a seismic data compression and reconstruction method based on an improved Bayesian compressed sensing algorithm. Background technique [0002] The real-time recovery of massive data in the process of geological exploration has brought great challenges to existing seismographs, which is also the most important factor restricting the development of seismographs. In particular, with the continuous deepening of seismic exploration, the seismic exploration data continues to expand, which puts great pressure on the sampling and wireless transmission speed of the seismograph, the storage capacity of the memory, and the processing speed of the computer. Through the key technology of compressed sensing theory, the seismic data is compressed in the lower computer in real time, and the data is transmitted to the upper computer. When seismic data interpretation is required, the upper compu...
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CPCG01V1/288
Inventor 陈祖斌王丽芝崔忠林宋杨龙云赵玉莹唐国峰
Owner JILIN UNIV
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