Seismic data high-resolution processing method based on full-band continuation fidelity

A seismic data, high-resolution technology, applied in seismic signal processing, seismology, geophysical measurement, etc., can solve the problems of data signal-to-noise ratio reduction, fidelity reduction, and the inability to completely eliminate the influence of seismic data noise, etc. Achieve good effect, improve resolution, and high signal-to-noise ratio

Active Publication Date: 2021-06-08
CHINA PETROLEUM & CHEM CORP +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above four methods are all based on the principle of removing the seismic wavelet to obtain the reflection coefficient. During the processing, the influence of the noise in the seismic data cannot be completely eliminated. While improving the resolution of the seismic data, the influence of the noise is also amplified, resulting in The data has the problem of reduced signal-to-noise ratio and reduced fidelity

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
  • Seismic data high-resolution processing method based on full-band continuation fidelity
  • Seismic data high-resolution processing method based on full-band continuation fidelity
  • Seismic data high-resolution processing method based on full-band continuation fidelity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0083] The processing is performed on an actual data. Estimation of seismic wavelets from seismic sections, Figure 6a The relationship between seismic data spectrum and wavelet spectrum is given, and the estimated wavelet is as follows: Figure 6b shown by the dotted line.

[0084] The frequency-dependent wavelet extension method is used to compress the seismic wavelet, and then the spectrum before and after wavelet compression is used to construct a compression operator, which is applied to the estimated wavelet and the wavelet constructed by the compression operator. There is a certain difference between the spectrum of the wavelet after the compression operator acts on it and the spectrum of the theoretical compressed wavelet, which is caused by the regularization factor introduced to ensure the stability of the wavelet compression operator.

[0085] The seismic section with improved resolution can be obtained by applying the constructed wavelet compression operator to t...

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 provides a seismic data high-resolution processing method based on full-band continuation fidelity. The seismic data high-resolution processing method comprises the following four steps: estimating seismic wavelets w (t) from seismic data; broadening the data spectrum W (omega) by using a spectrum broadening factor a (omega) to calculate a conduction filtering operator H (omega) based on the two spectrums obtained in the previous step; and finally, processing the whole seismic data by using a conduction filtering operator H (omega). According to the method, the seismic wavelets are processed and compressed, the purpose of full-band continuation processing is achieved, the resolution ratio of seismic data is effectively improved, and meanwhile the processed data have high fidelity.

Description

technical field [0001] The invention belongs to the technical field of seismic data processing, in particular to a high-resolution processing method of seismic data based on full-band extension and fidelity. Background technique [0002] In the field of oil and gas exploration, high-resolution seismic data processing methods and technologies have always been an important research direction in this field. Many scholars have conducted research on this issue and formed a series of seismic data frequency extension methods. Including such as seismic data deconvolution, spectral whitening method and sparse spectral inversion, and inverse Q filtering method for formation attenuation, etc. [0003] The basic theoretical model of seismic data formation is the convolution model. It is generally believed that seismic records are formed by the mutual convolution of seismic wavelets and the reflection coefficient of the stratum interface. On the mathematical model, it can be expressed a...

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
CPCG01V1/282G01V1/36G01V1/364G01V2210/324
Inventor 钟庆良陈双全张颖燕莫莉曾晓平
Owner CHINA PETROLEUM & CHEM CORP
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