Research To High-resolution Seismic Processing Based On Euclid Wavelet Estimation

Seismic resolution is a core element of the High-resolution seismic exploration, is one ofthe main problems of the main problems thin reservoir and lithology of seismic explorationand research, but also troubled geophysical development. Wavelet extraction anddeconvolution is an effective way to improve the resolution of seismic data, to improve theresolution of the seismic,to improve the accurace of the seismic wavelet extraction isextremely important practical significance for the resolution of seismic data processing.Seismic wavelet extraction seismic data deconvolution, impedance inversion andforward modeling of the basic work. Accurate seismic wavelet estimation techniques forHigh-resolution, High signal-to-noise ratio, High-fidelity seismic data processing is extremelyimportant. Seismic deconvolution is the wavelet processing to extract the reflection sequence,multiple effective means to improve the seismic resolution and the suppression of importantengineering applications in engineering applications.In this paper, wavelet extraction and deconvolution to improve the resolution of seismicdata. Commonly used seismic waves, summed up the attributes of the seismic wavelet.Bernoulli-Gauss process, the combination of the Bernoulli distribution and Gaussiandistribution to simulate the actual seismic reflection sequence. Completion of the Wienerdeconvolution and mixed-phase deconvolution.Euclid algorithm based on the seismic wavelet estimation, based on efficient polynomialfactorization theory, through the adjacent seismic trace data construct convolution matrix (Cmatrix) and solving the matrix (S matrix) of the estimated wavelet. Improved paperconvolution matrix, the Toeplitz matrix instead banded matrix, and by the strike, E-matrix, thecovariance matrix to extract the principal component (corresponding to the largest eigenvalueeigenvectors) to reconstruct the original signal, again using the Euclid principle to extractwavelet achieved some results in terms of stability and noise immunity of the algorithm.Euclid algorithm extracted wavelet and then apply the mixed-phase deconvolution of seismicdata processing, to get a better treatment effect.