Seismic data frequency expanding processing method and device

Abstract

The invention provides a seismic data frequency expanding processing method and device. The method comprises the following steps of: respectively carrying out empirical mode decomposition on logging data and seismic signals to obtain an intrinsic mode function corresponding to the logging data and an intrinsic mode function corresponding to the seismic signals; performing generalized S transformation on the intrinsic mode function corresponding to the logging data and the intrinsic mode function corresponding to the seismic signal to obtain a time-frequency spectrum corresponding to the logging data and a time-frequency spectrum corresponding to the seismic signals; fusing the two time-frequency spectrums to obtain a fused time-frequency spectrum; and performing generalized S transformation on the fused time-frequency spectrum, and performing superposition processing on the fused time-frequency spectrum after generalized S transformation and the residual components to obtain seismic data after frequency expansion. According to the method, the high-frequency components in the logging data are fused into the seismic data, so that the seismic data frequency band is widened, the main frequency of the seismic data is improved, the seismic data resolution can be improved, and the capacity of identifying a thin reservoir by the seismic data is improved.

Description

technical field [0001] The present application relates to the technical field of petroleum exploration, in particular to a method and device for frequency extension processing of seismic data. Background technique [0002] With the development of the modern petroleum industry, because seismic data can intuitively describe and reflect underground geological conditions, the application of seismic data in oil and gas exploration and development is becoming more and more extensive. When using seismic data to study and solve underground geological problems, the resolution of seismic data is very important. If the resolution of seismic data is low, it is difficult for the seismic data to describe and reflect the distribution of thin underground reservoirs. Structural and lithological traps are described. Therefore, if necessary, the seismic data must be processed to increase the resolution, so that the seismic data can meet the requirements of thin reservoir prediction and fine i...

AI Technical Summary

Problems solved by technology

[0004]The current seismic frequency extension technology based on well logging data has many artifacts during the frequency extension process, which brings a lot of interference to geological interpretation and reduces the accuracy of seismic frequen

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