Results 141 to 150 of about 615 (171)
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Shape Fitting Remediation of Amplitude Saturation Microseismic Signals
2011The microseismic signal was the main evaluation basis for the monitored objects. In this chapter, we review a variety of analyses and processing methods for microseismic signals, put forward an effective shape fitting remediation method for the amplitude saturation problem in waveform analysis, and analyze the repairing effect by the spectrum, the ...
Tang Shou-feng +2 more
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An automatic recognition method of microseismic signals based on EEMD-SVD and ELM
Computers & Geosciences, 2019Abstract The recognition of microseismic and blasting signals is important for the prediction of geological disasters. Feature parameters for pattern recognition are usually designed manually, which is inconvenient to adopt. A new method combining ensemble empirical mode decomposition (EEMD), singular value decomposition (SVD) and extreme learning ...
Jinyong Zhang +3 more
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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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Geophysical Prospecting, 2014
ABSTRACTIn this paper, we treat passive surface microseismic monitoring as a predominantly statistical problem of location sources of weak seismicity recorded in the presence of strongly correlated noise using dense seismic arrays. We introduce two statistically optimal algorithms (adaptive maximal likelihood algorithm and statistically optimal phase ...
Alexander Kushnir +4 more
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ABSTRACTIn this paper, we treat passive surface microseismic monitoring as a predominantly statistical problem of location sources of weak seismicity recorded in the presence of strongly correlated noise using dense seismic arrays. We introduce two statistically optimal algorithms (adaptive maximal likelihood algorithm and statistically optimal phase ...
Alexander Kushnir +4 more
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Detection and Location of Microseismic Events with Low Signal-to-Noise Ratios
International Petroleum Technology Conference, 2014Abstract Microseismic monitoring of hydraulic fractures is the process of monitoring the small earthquakes induced by fluid injection during hydraulic fracture stimulation. The primary goal of microseismic monitoring is to map the source positions of microseismic events.
Yuyang Tan +4 more
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A first arrival detection method for low SNR microseismic signal
Acta Geophysica, 2018Most of the microseismic signals have low signal-to-noise ratio (SNR) due to the strong background noise, which makes it difficult to locate the first arrival time. Both accuracy and stability of conventional methods are poor in this situation. To overcome this problem, here we proposed a new method based on the adaptive Morlet wavelet and principal ...
Ruiqing Hu, Yanchun Wang
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Unsupervised Clustering of Microseismic Signals Using a Contrastive Learning Model
IEEE Transactions on Geoscience and Remote Sensing, 2023Zhen Yang 0027 +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
Application of the Haar wavelet transform to detect microseismic signal arrivals
Journal of Applied Geophysics, 2006A discrete wavelet transform is applied for the time-scale representation of raw seismic data and subsequent identification of events of interest. The wavelet transform properties such as localization, which is essential for the analysis of transient signals, provide a filter to extract characteristics of interest such as energy and predominant time ...
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A Survey of Machine Learning Applications in Microseismic Signal Recognition and Classification
2023 15th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2023Hongmei Shu +3 more
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