Seismic Data Processing Method Based on Differential Variational Mode Decomposition and Reconstruction

Abstract

The invention discloses a seismic data processing method based on differential variational mode decomposition and reconstruction, which includes the following steps: Step 1, performing variational mode decomposition processing with a preset number of layers on the original seismic characteristic trace data, and decomposing it is the component data with different center frequencies; step 2, conduct Hilbert transform analysis on the obtained multi-frequency data of the seismic trace to analyze the instantaneous frequency, so as to determine the optimal number of decomposition layers; step 3, realize the optimal Variational mode decomposition processing under the number of decomposition layers, so as to complete the sparse representation; step 4, perform Gaussian filtering and smoothing on the decomposed data, while retaining low-frequency information; step 5, calculate the high-order multi-band data after the above processing Even differentiation; step 6, after completing the normalization of the obtained high-order differential data components, performing summation and reconstruction in the time domain to obtain the final processing result. The invention can provide high-quality data for subsequent attribute extraction, oil and gas reservoir identification and reservoir prediction.

Description

technical field [0001] The invention relates to the field of seismic data target processing and interpretation, in particular to a seismic data processing method based on differential variation mode decomposition and reconstruction. Background technique [0002] For medium-deep subterranean oil and gas reservoirs with large burial depth and thin reservoirs, the vertical resolution of seismic data still cannot meet the actual production requirements after conventional seismic data processing, so targeted processing is required. However, due to the thin thickness of this kind of reservoir, which is less than a quarter of the seismic wavelength, and there is strong shielding layer information interference in some areas, the seismic waveforms should overlap and interfere with each other due to the tuning effect, so the exploration is more difficult. It has important theoretical significance and production value to study the method of improving the resolution of this kind of oil ...

AI Technical Summary

Problems solved by technology

[0002] For medium-deep subtle oil and gas reservoirs with large burial depth and thin reservoirs, the vertical resolution of seismic data still cannot meet the actual production requirements after conventional seismic data processing, and target processing is required

However, due to the thin thickness of this kind of reservoir, which is less than a quarter of the seismic wavelength, and there is interference of strong shielding layer information in some areas, the seismic waveforms should overlap and interfere with each other due to the tuning effect, so the exploration is more difficult

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