Report Title: Research on Automatic Recognition Methods and Imaging Methods for Microseismic Events
Speaker：Yun Long
Report time ： June 5, 2020, 1:30 pm onwards
Venue: 330 Haiguang Academic Lecture Hall, Geological Palace
Organizer ：
College of Instrumentation and Electrical Engineering, Jilin University
National Research Center for Geophysical Exploration Instruments and Engineering Technology
Key Laboratory of the Ministry of Education for Geoinformation Detection Instruments
Speaker Introduction: Long Yun, Male, 1986.10, Associate Professor
Report in Brief:
Microseismic data for ground monitoring mainly contains two parts: artificially formed shothole data and pressure-induced microseismic data. From the microseismic monitoring theory, the accurate identification of microseismic events directly affects the accuracy of microseismic signal initial-to-pickup. To address the drawbacks of conventional microseismic signal first-to-find detection methods, an automatic microseismic event identification method with multi-channel envelope energy superposition technology is investigated. Further, identifying the spatio-temporal coordinates of microseismic events is the most important information to focus on, which is important for monitoring applications in monitoring categories such as urban background environmental noise, real-time monitoring of groundwater migration, monitoring and early warning of large landslides and rockfalls, and monitoring and early warning of active faults and active volcanoes. Based on the principle of inverse-time imaging of seismic wave fields and the fact that the location of microseismic sources is unknown in microseismic localisation, an inverse-time microseismic localisation method with envelope optimal matching scanning is investigated.
