Shallow water multi-wave model directivity prediction method of characteristic wave domain,

Abstract

The invention relates to a shallow water multi-wave model directivity prediction method of a characteristic wave domain, belongs to the technical field of geophysical exploration, and solves the problem that a prediction result of an existing shallow water multiple-wave prediction method has artifact interference. The method comprises the following steps of decomposing seismic data in a characteristic wave domain to obtain characteristic wave data; extracting a characteristic wave propagation direction prediction operator; performing characteristic wave domain directivity prediction accordingto the extracted characteristic wave propagation direction prediction operator. According to the method, characteristic wave decomposition and synthesis are introduced, and the direction information of the seismic data is utilized, so that false paths can be avoided during multi-wave prediction, the false noise interference is reduced, and the prediction precision is improved; meanwhile, the predicted shallow water multi-wave forms and the amplitudes confirm to the actual conditions, so that the signal-to-noise ratio and the resolution ratio of the seismic data of the target area are effectively improved; and in addition, the method can be applied to the suppression of three-dimensional seismic data shallow water multi-wave, so that the data processing effect of oil and gas exploration inthe shallow water area is greatly improved.

Description

technical field [0001] The invention relates to the technical field of geophysical exploration, in particular to a method for predicting the directivity of a shallow water multiple wave model in a characteristic wave domain. Background technique [0002] In offshore seismic exploration, multiple waves are particularly developed in shallow water areas, which seriously affects the interpretability of seismic data. At present, the conventional methods for suppressing multiple waves mainly include: filtering methods based on the spatial difference characteristics of primary waves and multiple waves ( Such as: linear / nonlinear Radon transform to suppress multiple waves, etc.), wave theory multiple wave suppression methods (such as: prediction deconvolution, data-driven wave theory prediction-subtraction method, model-driven wave theory prediction-subtraction to class methods, etc). [0003] Due to the lack of near-offset data in shallow water, low signal-to-noise ratio, abnormal...

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Problems solved by technology

[0005] In view of the above analysis, the present invention aims to provide a shallow water multiple wave model directivity prediction method in the characteristic wave domain to solve the problem of false image interference in the prediction results of existing shallow water multiple wave prediction methods

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