Seismic source positioning method and system based on data field potential value and readable storage medium

A technology of seismic source positioning and data field, applied in seismology, seismic signal processing, instruments, etc., can solve the problem of unstable P-wave first arrival picking method, achieve stable microseismic positioning results, fast data processing speed, and improve picking accuracy Effect

Active Publication Date: 2020-03-24
CHONGQING UNIV
View PDF10 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The present invention proposes a seismic source location method, system and readable storage medium based on data field potential values. The method is aimed at the instability of the existing P wave

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 source positioning method and system based on data field potential value and readable storage medium
  • Seismic source positioning method and system based on data field potential value and readable storage medium
  • Seismic source positioning method and system based on data field potential value and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0089] figure 2 It is the rendering of microseismic signal denoising and automatic picking. Depend on figure 2 (a) It is known that there are a small amount of high-frequency signals and large power-frequency signals in the original microseismic signal, which makes it difficult to pick up P waves. The signal-to-noise ratio of microseismic signals using EEMD soft threshold + sine function denoising is significantly improved, and the first arrival of P waves is easier to pick up ( figure 2 b). figure 2 The vertical dotted line in b is the picking result of STA / LTA method, and the vertical dotted line is the acceptable range of local minimum value of AIC method. Compared with manual picking, AIC method can achieve better picking effect.

[0090] image 3 is a map of the locations of sensors and events to be tested that generate theoretical data. The distribution of microseismic sensors is relatively wide, among which 12 sensors are arranged near the heights of 930m and ...

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 source positioning method and system based on a data field potential value, and a readable storage medium. The method comprises the steps: firstly carrying out the denoising of a micro-seismic signal; picking up P-wave first arrival by combining automation and manual work; sampling by adopting a Bootstrap method to obtain a plurality of P-wave first arrival sub-data sets; adopting a double-difference method and a data field potential value to obtain a micro-seismic event initial positioning result; calculating theoretical propagation time from a seismic sourceto a sensor by utilizing the initial positioning result, and removing P-wave first arrival large-error pickup signals; and removing the P-wave first arrival picked up by the large error as new data,and carrying out Bootstrap sampling and data field potential value positioning to obtain a final seismic source position. According to the method, high-frequency and power-frequency noise of the micro-seismic signals can be removed, the signal-to-noise ratio is improved, and P-wave first arrival picked up by the automatic method is more accurate; points with large positioning density are obtainedbased on the data field potential values, the influence of an initial iteration center can be reduced, and therefore the microseism positioning result is more stable.

Description

technical field [0001] The invention belongs to the field of microseismic monitoring, and in particular relates to a seismic source location method, system and readable storage medium based on data field potential values. Background technique [0002] Microseismic monitoring technology is a geophysical technology widely used in geotechnical engineering, especially mining engineering and tunnel engineering. It uses sensors to receive microseismic signals generated by fault slippage, and then analyzes the location, magnitude and energy changes of microseismic events. characteristics, so as to infer the mechanical state of the rock mass, and take effective prevention and control measures. Among them, microseismic positioning can determine the rupture position of the rock mass, which is the basis for subsequent magnitude calculation, focal mechanism inversion and risk analysis, so high-precision seismic source positioning is very important. [0003] At present, noise reduction ...

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): G01V1/28G01V1/30
CPCG01V1/288G01V1/307G01V2210/32G01V2210/65
Inventor 彭康尚雪义郭宏扬卢友昀
Owner CHONGQING UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap