Underground Microseismic Event Monitoring and Localization within Sensor Networks

Abstract

Locating underground microseismic events is important for monitoring subsurface activity and understanding the planetary subsurface evolution. Due to bandwidth limitations, especially in applications involving planetarily-distributed sensor networks, networks should be designed to perform the localization algorithm in-situ, so that only the source location information needs to be sent out, not the raw data. In this paper, we propose a decentralized Gaussian beam time-reverse imaging (GB-TRI) algorithm that can be incorporated to the distributed sensors to detect and locate underground microseismic events with reduced usage of computational resources and communication bandwidth of the network. After the in-situ distributed computation, the final real-time location result is generated and delivered. We used a real-time simulation platform to test the performance of the system. We also evaluated the stability and accuracy of our proposed GB-TRI localization algorithm using extensive experiments and tests.

Microseismic Dynamic Response and Multi-Source Warning during Rockburst Monitoring Based on Weight Decision Analysis

“…The microseismic monitoring technology can monitor the vibration generated by the fracture of coal and rock mass [ 19 , 20 ], evaluate the damage status of coal and rock mass, and has the characteristics of real-time, dynamic, and continuous monitoring [ 21 ]. It can ascertain the location, energy, frequency, and other information of microseismic events in real time and accurately, then judge the stability of rock structure, so as to provide warning information for coal and rock dynamic disasters such as rock burst [ 22 , 23 , 24 ]. It has been widely used in the warning practice of underground engineering rockburst in different fields [ 25 , 26 , 27 ].…”