Time-varying wavelet based deconvolution method for frequency division processing

A time-varying wavelet and deconvolution technology, applied in the field of deconvolution to achieve high temporal resolution, lateral continuity, and increased stability

Active Publication Date: 2014-04-09
北京诺克斯达石油科技有限公司
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0027] 2. The influence of noise on the inversion results;
[0028] 3. The influence of seismic attenuation on the inversion results

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Time-varying wavelet based deconvolution method for frequency division processing
  • Time-varying wavelet based deconvolution method for frequency division processing
  • Time-varying wavelet based deconvolution method for frequency division processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0062]The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0063] Such as Figure 1 to Figure 3 As shown, the present invention provides a deconvolution method based on time-varying wavelets for sub-band processing, comprising the following steps:

[0064] Step S1, the specific steps of extracting the time-varying seismic wavelet in the seismic record by using the multi-channel statistical autocorrelation method under well control are as follows.

[0065] The specific steps are:

[0066] (101), extract adjacent channels beside the well, and perform multi-channel equalization processing;

[0067] (102), taking the center of the time window at equal intervals;

[0068] (103), each time window signal is processed sequentially;

[0069] (104) After the wavelet extraction of each time window is completed, the energy of the wavelet is normalized, the first time window is directly normalized, and the rest...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a deconvolution method which suppresses noise and takes reflection coefficient recovery as a target while improving earthquake recording resolution, and especially relates to a time-varying wavelet based deconvolution method for frequency division processing for the purpose of solving the problems of reduced signal-to-noise ratio and unstable solution despite resolution improvement by use of a conventional deconvolution method. The method comprises the following steps: extracting time-varying wavelets in an earthquake recording by use of a well control multi-channel statistical autocorrelation method; extracting high and low frequency operators according to well data, for constructing high and low frequency information corresponding to an original earthquake recording as constraint conditions; performing diffusion filtering processing on frequency division information; and performing simultaneous deconvolution on the original earthquake recording and the high and low frequency information. By using the method provided by the invention, earthquake data and well logging data are integratedly combined, uncontrollable deconvolution factors extracted by use of a conventional deconvolution method can be avoided, resolution is effectively improved while the noise is suppressed, the attenuation of earthquake signals is taken into consideration, and the time domain point spectrum whitening function is realized.

Description

technical field [0001] The invention relates to a deconvolution method aimed at improving seismic record resolution, suppressing noise, and aiming at restoring reflection coefficient, in particular to a deconvolution method based on frequency band processing of time-varying wavelets. Background technique [0002] Improving the resolution of seismic data has always been the pursuit goal of seismic data digital processing workers. The key link in data processing of high-resolution seismic data is to compress the seismic wavelet, or to remove the influence of interference and tuning effects on the underground strata during the underground propagation of seismic waves, and to broaden the frequency band range of effective seismic signals, especially to broaden the high-frequency wavelet more accurately. frequency components. The identification and thickness of thin beds has become the main research direction in the field of seismic oil exploration. The thin-layer reflection coe...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/28G01V1/36
Inventor 刘力辉
Owner 北京诺克斯达石油科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products