Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Seismic data denoising method based on self-adaptive variational mode decomposition

A variational modal decomposition and seismic data technology, which is applied in the field of oil and gas geophysical exploration, can solve the problems of affecting the geological structure of the target area, affecting the interpretation of seismic data, and greatly affecting the seismic signal, and achieves the effect of avoiding chance and randomness.

Inactive Publication Date: 2018-12-21
BEIJING UNIV OF CHEM TECH
View PDF1 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

With the continuous deepening of geological exploration, the impact of noise on seismic signals is increasing, which seriously affects the interpretation of seismic data, and even affects the judgment of the geological structure of the target area.

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 denoising method based on self-adaptive variational mode decomposition
  • Seismic data denoising method based on self-adaptive variational mode decomposition
  • Seismic data denoising method based on self-adaptive variational mode decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] In order to facilitate the understanding of those skilled in the art, the present invention will be further described below in conjunction with the accompanying drawings, which cannot be used to limit the protection scope of the present invention. It should be noted that, in the case of no conflict, the embodiments in the present application and various manners in the embodiments can be combined with each other. The drawings in the following description are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to these drawings without creative work.

[0017] see figure 1 , the present invention proposes a seismic data noise reduction method based on adaptive variational mode decomposition, including:

[0018] Step 300 decomposes the acquired seismic data by the number of traces.

[0019] Step 301 determines the parameter decomposition mode number and penalty factor range, and sets the control parameter K...

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 discloses a seismic data denoising method based on self-adaptive variational mode decomposition, and belongs to the field of oil and gas geophysical exploration. A seismic signal is processed by using the variational mode decomposition, the optimal parameters are selected by calculating a signal-to-noise ratio of decomposition results, and the seismic signal is processed by the variational mode decomposition of the optimal parameters to reduce noise in the seismic signal. The seismic data denoising method processes seismic data by the self-adaptive variational mode decomposition,and realizes seismic data noise suppression.

Description

technical field [0001] The invention belongs to the field of oil and gas geophysical exploration, and in particular relates to a seismic data noise reduction method based on adaptive variational mode decomposition. Background technique [0002] Due to geological conditions, acquisition environment, and manual operation, seismic signals are inevitably mixed with noise signals. With the continuous deepening of geological exploration, the influence of noise on seismic signals is increasing, which seriously affects the interpretation of seismic data, and even affects the judgment of the geological structure of the target area. Therefore, it is necessary to denoise seismic signals to reduce the impact of noise on subsequent processing and interpretation. Contents of the invention [0003] The purpose of the present invention is to propose an adaptive variational mode decomposition seismic data denoising method, through which the deficiency of existing seismic data denoising me...

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): G01V1/28G01V1/36
CPCG01V1/28G01V1/36
Inventor 唐刚徐智
Owner BEIJING UNIV OF CHEM TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products