A Method of Improving the Recognition Ability of Thin Interlayers Based on Linear Scanning

Abstract

The invention provides a method based on linear scanning to improve thin interbed identification ability, including: obtaining the dominant frequency band range and phase information of the seismic data by analyzing the frequency spectrum and waveform characteristics of the seismic data; extracting each seismic data by using the complex spectrum wavelet, adjust the frequency band and phase of the obtained wavelet; use the broadband information of the linear sweep signal, and slide the time window to select the best linear sweep wavelet; Wave shaping and deconvolution is used to obtain the shaping operator of the target trace; a new high-resolution seismic record is obtained by convolving the target seismic trace with the new composite shaping operator. This method performs high-precision processing for thin layers and thin interbeds. According to the broadband characteristics of the linear scanning wavelet, the bandwidth compensation is reasonably performed, the main frequency is increased, and the frequency band range is widened to obtain high-resolution seismic sections, which effectively improves the thickness of the thin layer. layer recognition.

Description

technical field [0001] The invention relates to the technical field of seismic data processing, in particular to a method for improving the recognition ability of thin interbeds based on linear scanning. Background technique [0002] Thin bed and thin interbed oil and gas reservoirs are a very important type of oil and gas reservoirs. Due to the limited ability of seismic data to resolve thin layers, seismic prediction of this type of reservoir is very difficult. Conventional methods have the problem of missing low-frequency information, while vibroseis can be excited by "long-term, small-energy signals" through frequency scanning, and equivalently output "short-time, high-energy signals". Applying this idea to the target processing of thin interlayer data can broaden the frequency band of the data, thereby improving the resolution of thin interlayer and enhancing its recognition ability. It is very important to use a reasonable bandwidth compensation method to finely iden...

AI Technical Summary

Problems solved by technology

Conventional methods have the problem of lack of low-frequency information, but the vibroseis can be excited by "long-term, small-energy signals" through frequency scanning, and equivalently output "short-time, large-energy signals"

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