Results 11 to 20 of about 3,283 (222)
Data-Driven Signal–Noise Classification for Microseismic Data Using Machine Learning [PDF]
Energies, 2021 It is necessary to monitor, acquire, preprocess, and classify microseismic data to understand active faults or other causes of earthquakes, thereby facilitating the preparation of early-warning earthquake systems.
Sungil Kim +3 more
doaj +2 more sources
Resonance in downhole microseismic data and its removal [PDF]
SEG Technical Program Expanded Abstracts 2016, 2016 Author(s): Zhang, Z; Rector, JW; Nava, MJ | Abstract: We identified resonance due to poor geophone-borehole cou- pling in downhole microseismic data and proposed to use spik- ing deconvolution and relative spectrum analysis to remove its effect. The resonance may hinder the arrival time picking and contaminate microseismic waveform spectrum.
Zhang, Z, Rector, JW, Nava, MJ
openaire +6 more sources
Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters [PDF]
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 +3 more
doaj +2 more sources
Historic microseismic data and their relation to the wave-climate in the North Atlantic [PDF]
Meteorologische Zeitschrift, 2005 Microseismic data from observatories in Europe, which have been continuously recorded since about 100 years, contain information on the wave-climate in the North Atlantic. They can potentially be used as additional constraints in high-resolution temporal
Torsten Dahm +3 more
doaj +2 more sources
Mine microseismic and electrical coupling monitoring technology [PDF]
Meitan xuebaoWith the increase of the depth, mining intensity and area of coal resource, the mining disturbances in the mining face can easily induce mine water inrush accidents, seriously threatening the safe mining of coal resources in China.
Shengdong LIU +4 more
doaj +3 more sources
, 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)
core +3 more sources
Parallel Processing Method for Microseismic Signal Based on Deep Neural Network
Remote Sensing, 2023 The microseismic signals released by rock mass fracture can be captured via microseismic monitoring to evaluate the development of geological disasters.
Chunchi Ma +7 more
doaj +1 more source
Automatic picking method of microseismic first arrival time based on improved support vector machine
Gong-kuang zidonghua, 2023 The microseismic first arrival time picking is an important prerequisite for the high-precision positioning of the microseismic source. The traditional manual picking method is inefficient.
LI Tieniu +9 more
doaj +1 more source
Investigation of Microseismic Characteristics of Rock Burst Based on Fractal Theory
Applied Sciences, 2023 Microseismic monitoring is a common monitoring tool in the mining production process; for supervising a huge amount of microseismic data, effective analysis tools are necessary.
Ping Wang, Ze Zhao, Da Zhang, Zeng Chen
doaj +1 more source
Remote Sensing, 2023 Numerous microseismic signals are produced by rock mass fracture during earthquakes, geological disasters, or underground excavations. Moreover, a large amount of noise signals are captured during microseismic signal monitoring.
Chunchi Ma +8 more
doaj +1 more source