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

Microseismic signal de-noising method

A signal and microseismic technology, applied in the field of information processing, can solve the problems of modal aliasing and affect the noise reduction effect of microseismic signals, and achieve the effect of suppressing modal aliasing, improving technical value and application prospects, and eliminating pulse interference.

Inactive Publication Date: 2017-06-27
SHANDONG UNIV OF SCI & TECH
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the EMD method is prone to modal aliasing problems during the decomposition process, which greatly affects the noise reduction effect of the EMD method on microseismic signals.

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
  • Microseismic signal de-noising method
  • Microseismic signal de-noising method
  • Microseismic signal de-noising method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0035] The present invention first performs NLMS self-adaptive filtering preprocessing on the microseismic signal x(t), and filters out the pulse interference in the signal; secondly, performs EEMD decomposition on the preprocessed signal, and the EEMD decomposition sequentially decomposes each harmonic component of the noisy signal It is decomposed into a noise-dominated IMF set, an IMF set where noise and effective information coexist, and a residual term defined as low-frequency effective information. Therefore, it is necessary to perform threshold estimation and threshold denoising on the m IMF components, so as to reconstruct the denoised microseismic Signal.

[0036] Such as figure 1 As shown, a microseismic signal noise reduction method specifically includes the following steps:

[0037] Step 1: NLMS adaptive filtering,

[0038] The ti...

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 microseismic signal de-noising method and belongs to the technical field of information processing. The method comprises firstly performing NLMS adaptive filtering preprocessing on a microseismic signal; performing EEMD on the preprocessed microseismic signal; subjecting a decomposed IMF component to threshold de-noising; and reconstructing a de-noised microseismic signal. The microseismic signal de-noising method eliminates pulse interference before the EEMD, suppresses mode aliasing caused by the EEMD, has good anti-noise performance, high calculation precision, good real-time performance, a good technical value and application prospect.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a method for reducing noise of microseismic signals. Background technique [0002] Microseismic technology has been widely used in coal and rock dynamic disaster monitoring and early warning, oil field fracturing, slope stability analysis and other fields. Due to the complexity of the monitoring environment and the limitations of the instrument itself, the actually monitored microseismic signals are subject to a large amount of noise interference during the acquisition and transmission process, which seriously affects the analysis and processing of the microseismic signals, and also affects the subsequent source positioning and energy calculation. , Disaster early warning and other analysis and research work has brought great difficulties. On the other hand, because the microseismic signal has a frequency band characteristic similar to noise, the tradi...

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): G06K9/00
CPCG06F2218/04
Inventor 孙会民贾瑞生苏腾宋培培崔云洁曹伟
Owner SHANDONG UNIV OF SCI & 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com