Multiattribute frequency division imaging method based on wavelet transformation

Abstract

A multiattribute frequency division imaging method based on wavelet transformation comprises the following steps: 1) preprocessing the seismic data; 2) executing fine frequency spectrum analysis to the seismic data for confirming the effective frequency spectrum range of seismic data; 3) executing horizon interpretation to the seismic data, and executing processions of interpolation, smoothing, etc.; 4) using seismic data and interpreted seismic horizon as input, adopting a wavelet analyzing technique executing wavelet transformation to the seismic data for obtaining a wavelet transformation frequency division result; 5) computing the instantaneous amplitude, instantaneous frequency or instantaneous phase of wavelet field under the meaning of frequency division (ai-1, ai) according to interpretation requirement; 6) reconstructing the instantaneous amplitude, instantaneous frequency or instantaneous phase data of wavelet field according to interpretation requirement; 7) repeating the steps of 4) to 6) to each seismic channel for obtaining the computing results of all seismic channels; and 8) drafting the computed instantaneous wavelet frequency division data. The method of the invention can increase the recognition capability and detection capability of lithologic trap, stratigraphic trap and small discontinuous object for further increasing the fine prediction precision of container horizon.

Description

technical field [0001] The invention relates to the technical field of oil and gas field exploration, and belongs to the category of seismic data interpretation, in particular to a multi-attribute frequency division imaging method based on wavelet transform. Background technique [0002] In seismic interpretation, each geological body, including faults, has an optimal imaging frequency band. If we can find out this frequency band, the discontinuity will be displayed most clearly on the section of this frequency band. Conventional earthquakes correspond to only one major frequency band, corresponding to one lateral resolution, and only a part of the fault is best imaged. [0003] Frequency-division imaging technology is a frequency-based reservoir interpretation technology, which shows us a new seismic interpretation method. At present, the seismic data is converted from the time domain to the frequency domain mainly through the discrete Fourier transform (DFT). The amplitud...

AI Technical Summary

Problems solved by technology

However, discrete Fourier transform is a pure frequency domain analysis method, which cannot provide time domain information, and it is difficult to obtain the frequency components ideally expected by users.

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