arrow
Return

Research on microseismic localization algorithm with global search and local optimization

delete2023-09-01
delete0
delete
OA
AI
Y
Yimin Song *
Y
Yazhou Zhao
Y
Yuanyu Zhang
W
Wenliang Deng
C
Chuang Lu
DOI:10.1016/j.heliyon.2023.e19251delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
A microseismic localization algorithm that combines global search and local optimization is proposed. The Fewer Conditions Trigger Difference (FCTD) objective function of global search and local optimization is constructed, the execution process of the algorithm is described by numerical simulation, and the global search and local optimization microseismic localization algorithm is verified and applied by field data analysis. The results show that: (1) the global search and local optimization methods have fast search speed in the global range, high convergence accuracy and stable localization results in the local range, and high localization accuracy and stability without relying on the velocity model and initial values in the process of search. (2) By comparing the localization results of different localization methods, the global search and local optimization algorithms have better localization results.
Keywords:
Rock burst
Microseismic positioning
Pickup at first arrival time
Three-dimensional grid search
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Heliyon cover
Heliyon
IF:
3.6
Papers:
3.8W
Citations:
10.5W

Organization

N
North China University of Technology
Scholars:
2.0K
Papers: 1.6K
Citations: 962