Results 21 to 30 of about 24,569,148 (220)

Induced microseismic event with strong rupture directivity and superimposed attenuation effects

, 2023
Data used in the paper: Induced microseismic event with strong rupture directivity and superimposed attenuation effects published in Seismological Research ...
Wcislo, Milosz, Wcislo, M (via Mendeley Data)   +1 more
core   +2 more sources

Wavelet Transform-Based Fuzzy Clustering Microseismic First-Arrival Picking Method

IEEE Access, 2023
Microseismic arrival time picking serves as the foundation for microseismic source localization and holds significant importance in the field of microseismic monitoring.
Tingting Lin, Jingwang Cheng, Qiang Chen, Siyu Cui   +3 more
doaj   +1 more source

Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters

Sensors, 2021
Microseismic monitoring system is one of the effective means to monitor ground stress in deep mines. The accuracy and speed of microseismic signal identification directly affect the stability analysis in rock engineering.
Kang Peng, Zheng Tang, Longjun Dong, Daoyuan Sun   +3 more
doaj   +1 more source

Microseismic data

, 2020
This is the data set and label set of microseismic monitoring, including forward modeling seismic signals and measured microseismic ...
zhang, J (via Mendeley Data), zhang, jinglan   +1 more
core   +2 more sources

An efficient hydraulic fracture geometry calibration workflow using microseismic data [PDF]

, 2023
Microseismic technology has proven its efficiency to monitor hydraulic fracturing effectiveness. The objective of this study is to develop a novel method to calibrate and generate the hydraulic fracture cluster-based model of a multi-stage horizontal ...
Bachi, Hana
core   +1 more source

High-accuracy real-time microseismic analysis platform : case study based on the super-sauze mud-based landslide [PDF]

, 2020
Understanding the evolution of landslide and other subsurface processes via microseismic monitoring and analysis is of paramount importance in predicting or even avoiding an imminent slope failure (via an early warning system).
Stankovic, L., Pytharouli, S., Li, J., Stankovic, V.   +3 more
core   +2 more sources

The robustness of seismic moment and magnitudes estimated using spectral analysis [PDF]

, 2014
calculate seismic moment. This is an important topic for operators and regulators who require good magnitude estimates when monitoring induced seismicity.
Verdon, James P, A.L. Stork, J.-M. Kendall, J.P. Verdon, Stork, Anna L, Kendall, J-M   +5 more
core   +1 more source

Mine-Microseismic-Signal Recognition Based on LMD–PNN Method

, 2022
The effective recognition of microseismic signal is related to the accuracy of mine-dynamic-disaster precursor-information processing, which is a difficult method of microseismic-data processing.
Yingchun Li, Qiang Li, Qingyuan He
core   +1 more source

A method for predicting the time series of microseismic events in coal mines based on modal decomposition and deep learning

Meitan xuebao
Microseismic monitoring data plays a crucial role in predicting and warning dynamic hazards such as coal mine rockburst. Utilizing historical microseismic monitoring data to forecast the evolution characteristics of future microseismic events is an ...
Changkun QIN, Wusheng ZHAO, Haibin JIA, Weiji GAO, Yuchuan CHEN, Wanquan YU, Jizhong LIANG, Weizhong CHEN   +7 more
doaj   +1 more source

Experimental Study on Calibration of Amplitude-Frequency Measurement Deviation for Microseismic Sensors in Coal Mines

Sensors, 2023
Microseismic monitoring systems (MMS) have become increasingly crucial in detecting tremors in coal mining. Microseismic sensors (MS), integral components of MMS, profoundly influence positioning accuracy and energy calculations. Hence, calibrating these
Zepeng Han, Linming Dou, Zonglong Mu, Jinrong Cao, Yanjiang Chai, Shuai Chen   +5 more
doaj   +1 more source