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Application of Multi-scaled Morphology in Microseismic Weak Signal Detection
Proceedings, 2015As reliable signal detection determines the accuracy of microseismic data processing, we have sought an effective method to distinguish useful signal and noise. The theory of this method is multi-scaled mathematical morphology based on slight differences of seismic wave shape.
X.Q. Chen, R.Q. Wang, H.J. Li, C.G. Lu
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Automatic recognition of mining microseismic and blasting vibration signals
Physics of FluidsMicroseismic monitoring systems enable real-time acquisition of vibration signals generated by coal and rock fracturing, deriving key parameters (e.g., event time, spatial location, and energy release) via inversion algorithms for rock burst risk prediction in coal mining operations.
Baolin Li +5 more
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Sliding Window Based Multi-Scale Morphology for Detecting Microseismic Signal
Proceedings, 2018Summary Micro-seismic signal is contaminated with strong noise composed of random noise and low-frequency (LF) noise. Signal detection makes it essential way for micro-seismic data processing. Typical methods like band filtering can hardly separate signal and noise and damage signal in some degree.
Y. Zhou +5 more
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A polarization filter method and applications for preprocessing microseismic signals
2013 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications, 2013The microseismic signal generated in rock rupture is wildly used in oilfields to inverse the seismic source and detect the direction and dimension of formation fractures. However, the SNR of effective signal in seismic events is especially low, and in many cases the onset of P- and S-wave is submerged in various noises. In this paper, we use the method
Xin Fu, Hao Chen, Xiu-Ming Wang
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Mine-Microseismic-Signal Recognition Based on Meta-learning
2023Xiangqi Han +3 more
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Multiple scattering of microseismic signals in fracture networks
SEG Technical Program Expanded Abstracts 2009, 2009Joachim Miksat, Tobias M. Müller
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SignalP 6.0 predicts all five types of signal peptides using protein language models
Nature Biotechnology, 2022Felix Teufel +2 more
exaly
Unsupervised Clustering of Microseismic Signals Using a Contrastive Learning Model
IEEE Transactions on Geoscience and Remote Sensing, 2023Zhen Yang +4 more
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Research and Design of Mine Microseismic Signal Acquisition System
2022 21st International Symposium on Communications and Information Technologies (ISCIT), 2022openaire +1 more source
Microseismic Detectability from Stacking Signals on Near-Surface Arrays
SEG Technical Program Expanded Abstracts 2012, 2012Adam M. Baig, Ted I. Urbancic
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