Post-stack seismic fluid identification method based on time-frequency analysis

Abstract

The invention provides a post-stack seismic fluid identification method based on time-frequency analysis. The method comprises the steps that post-stack seismic data processing is performed by using the wavelet decomposition and energy reconstruction method so as to eliminate the influence of complex lithology on the seismic frequency; the seismic data are transformed to the frequency domain fromthe time domain by using the matching tracking frequency division technology, and the corresponding frequency component of the reservoirs including different fluid is determined through combination ofthe logging result and the production dynamic data; the reservoir fluid frequency limit is established by using single well spectral energy normalization processing and the multichannel seismic spectrum statistical technology; and the post-stack seismic frequency attributes are extracted, and the favorable oil and gas zones are predicted according to the determined oil and gas frequency threshold. The oil and gas can be accurately detected and the oil and gas distribution range can be predicted so that the success rate of drilling can be enhanced and the method has wide application prospect.

Description

technical field [0001] The invention belongs to the technical field of oil and gas detection in petroleum geophysical exploration, and relates to a post-stack seismic fluid identification method based on time-frequency analysis. Background technique [0002] With the development of the petroleum industry, the target of oil and gas exploration and development is no longer structure-based oil and gas reservoirs, but more subtle and complex oil and gas reservoirs with lithologic traps as the main types. Developed to reservoir fluid detection. [0003] Reservoir fluid detection refers to the use of geophysical methods to judge the oiliness of underground reservoirs, which is the frontier field of geophysical exploration. Different reservoir fluid detection methods ultimately boil down to extracting parameters sensitive to reservoir fluid from geophysical data. These parameters can be seismic attributes, elastic parameters or combinations of elastic parameters with clear physic...

AI Technical Summary

Problems solved by technology

The advantages of the fluid proposed based on the elastic parameters are that the physical meaning is clear, the interpretability is strong, and quantitative research can also be carried out, which provides the possibility to further evaluate the oil and gas difference of the reservoir; the disadvantage is that pre-stack inversion is required To obtain elastic parameters, the budget cost for processing large amounts of data is high

[0006] Existing fluid identification methods have problems such as large oil and gas prediction calculations and low drilling success rate

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