SYSTEM OF SIGNAL DETECTION ON THE BACKGROUND OF MICROSEISMIC NOISE
openaire +1 more source
Enhancing safety and early warning capabilities in mining through microseismic monitoring technology. [PDF]
Jin J +6 more
europepmc +1 more source
Isotropic components of microseismic moment tensors at Utah FORGE reveal a diversity of fluid pathway creation processes in EGS development. [PDF]
Niemz P +4 more
europepmc +1 more source
Automatic P-Phase-Onset-Time-Picking Method of Microseismic Monitoring Signal of Underground Mine Based on Noise Reduction and Multiple Detection Indexes. [PDF]
Dai R, Wang Y, Zhang D, Ji H.
europepmc +1 more source
Dynamic Fracture Monitoring Technique in Deep Coal Seams Based on a Time-Varying Electric Field Method. [PDF]
Zhang J +6 more
europepmc +1 more source
Characteristics and recognition of typical microseismic signals in rock burst mines
Accurately identifying the type of microseismic signals is of great significance for monitoring, warning, and preventing dynamic disasters in rockburst mines. Leveraging the engineering context of Nantun coal mine, we classify five types of microseismic signals, namely mine earthquakes, blasting, coal-rock fractures, knocking, and noise. We establish a
Xuebin GU +7 more
openaire +1 more source
High-Precision Waveform Stacking Location Method for Microseismic Events Based on S-Transform. [PDF]
Zhao H +6 more
europepmc +1 more source
High-Precision Coal Mine Microseismic P-Wave Arrival Picking via Physics-Constrained Deep Learning. [PDF]
Qin K, Deng Z, Li X, Lian Z, Ye J.
europepmc +1 more source
Robust Phase Association and Simultaneous Arrival Picking for Downhole Microseismic Data Using Constrained Dynamic Time Warping. [PDF]
Wang T, Li L, Wen S, Lv Y, Yu Z, He C.
europepmc +1 more source
Automatic detection of arrival time for noisy microseismic data using a transformed difference between multiwindow energy ratios method. [PDF]
Zhang Z +7 more
europepmc +1 more source

