Unlock instant, AI-driven research and patent intelligence for your innovation.

Efficient high precision depth domain seismic wavelet extraction method

A technology of seismic wavelet and extraction method, which is applied in the field of petroleum seismic exploration and can solve the time-consuming problems of large matrices

Active Publication Date: 2019-08-20
CHENGDU UNIVERSITY OF TECHNOLOGY
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although today's computer memory can meet these needs, performing mathematical operations on large matrices is a time-consuming task. For example, the time required for the inversion of a matrix is ​​not a simple linear relationship with the size of the matrix but an exponential relationship.

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
  • Efficient high precision depth domain seismic wavelet extraction method
  • Efficient high precision depth domain seismic wavelet extraction method
  • Efficient high precision depth domain seismic wavelet extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] (1) A velocity value is given, and velocity transformation is performed according to the velocity, and the logging data and side-hole seismic records are respectively mapped from the depth domain to the constant velocity depth domain;

[0031] (2) Using the density ρ and P-wave velocity v information in the constant velocity depth domain logging data, the reflection coefficient r in the constant velocity depth domain is calculated according to the following formula:

[0032]

[0033] (3) Estimate the number of sampling points M of seismic wavelets in the constant velocity depth domain based on the wavenumber spectrum of seismic records in the constant velocity depth domain or by trial and error; the number of sampling points of seismic wavelets multiplied by the depth sampling interval in the constant velocity depth domain can be calculated The length of the seismic wavelet;

[0034] (4) According to the number of sampling points M of the seismic wavelet, an integer ...

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 an efficient high precision depth domain seismic wavelet extraction method. The method can accurately extract depth domain seismic wavelets in a short depth window in the constant velocity depth domain, which is consistent with the smooth hypothesis of the convolution theory. By adopting a shorter depth window and a constraint matrix, the method can not only reduce the influence of high frequency noise in logging information, but also reduce the amount of data involved in operation. The demand for the computer memory is reduced. The calculation time is shortened. The calculation efficiency is improved.

Description

technical field [0001] The invention belongs to the field of petroleum seismic exploration, and relates to a method for rapidly and accurately extracting depth domain seismic wavelets from depth domain seismic data. Background technique [0002] In recent years, thanks to the development of computer technology, the depth migration imaging technology of seismic data has been widely used in the field of petroleum seismic exploration. Depth migration imaging is a structural inversion method. Compared with time-migrated imaging results, depth-migrated imaging results are more accurate in determining complex subsurface structures. Therefore, there is an increasing demand for other depth-domain inversion methods for reservoir description, such as impedance inversion and elastic parameter inversion. Depth-domain seismic wavelets largely control the results of depth-domain inversion. Therefore, accurate extraction of depth-domain seismic wavelets is the key. However, the wavefor...

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
IPC IPC(8): G01V1/36
CPCG01V1/36G01V2210/51
Inventor 陈学华张杰文华国廖义沙胥良君蔡家兰韩建冯亮王欣
Owner CHENGDU UNIVERSITY OF TECHNOLOGY