Results 131 to 140 of about 615 (171)
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Microseismic signal of a spring gravimeter
Measurement Techniques, 2007It is shown that a spring gravimeter responds to microseisms with a pseudo-gravitational signal. Mathematical description of this signal is provided.
V. P. Dedov +3 more
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Spectral Evaluation of Microseismic Signals
68th EAGE Conference and Exhibition incorporating SPE EUROPEC 2006, 2006Spectral evaluation is a very important operation in the processing of microseismic signals. In this poster we consider the microseismic signals that can be recorded at a point from the Earth’s surface as a random process (signal) with many realizations and we present a methodology for the evaluation and statistical stabilization of its frequency ...
V. Bardan, D. Zugravescu, L. Asimopolos
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Deep Convolutional Neural Network for Microseismic Signal Detection and Classification
Pure and Applied Geophysics, 2020Reliable automatic microseismic waveform detection with high efficiency, precision, and adaptability is the basis of stability analysis of the surrounding rock mass. In this paper, a convolutional neural network (CNN)-based microseismic detection network (CNN-MDN) model was established and well trained to a high degree of accuracy using a dataset with ...
Zhang H. +4 more
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Tracking microseismic signals from the reservoir to surface
The Leading Edge, 2012Since the launch of commercial microseismic mapping of hydraulic fracturing in the Barnett Shale in 2000, microseismic has become the de facto geophysical technique to characterize stimulated fracture networks in unconventional reservoirs. Effective stimulation of these resources through hydraulic stimulations along multiple intervals of horizontal ...
S.C. Maxwell +3 more
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Microseismic Monitoring of an Unstable Rock Face - Preliminary Signal Classification
Proceedings, 2015We analyse signals collected by a microseismic monitoring network installed on an unstable rock face threatening the city of Lecco, in the North of Italy. We propose a classification process based on parameters computed in both time and frequency domains able to identify events possibly related to microseismic activity within the unstable rock mass and
AROSIO, DIEGO +3 more
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Identification of Microseismic Signals of Rock Mass Fracture in Mines
2020 7th International Conference on Information Science and Control Engineering (ICISCE), 2020The underground monitoring environment is more complicated, and the rock mass rupture signal is often mixed with various noises. How to identify and extract the rock failure signal are the basis of application research on microseismic monitoring technology. In order to solve this problem, a combined analysis method based on qualitative and quantitative
Wu Qingliang +4 more
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Wavelet Basis Function of the Microseismic Signal Analysis
2011Wavelet transform is an important method in signal processing for microseismic signals, and the wavelet basis function is the key factor that must be considered in the wavelet signal processing. In this chapter, through the analysis of the commonly used wavelet basis function’s properties, spectrogram, and power spectrum diagram, combined with the ...
Tang Shou-feng +2 more
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Signal and Noise on Buried and Surface Geophones for Microseismic Monitoring
Proceedings, 2013Surface or near-surface monitoring on microseismic events overcomes the low signal by stacking many geophones. To reduce the number of geophones it is essential to find the optimal placement of geophones, to obtain the highest possible signal to noise ratio. The noise level decreases with depth, but the signal is enhanced in near surface layers, due to
C. Czanik, L. Eisner
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Tracking Microseismic Signal Loss From Reservoir to Surface
Proceedings, 2013A comprehensive test is used to compare microseismic monitoring from surface, shallow well and downhole arrays. In particular, a long-aperture borehole array was deployed with sensors spanning from the reservoir depth to surface. This array allows tracking of microseismic signals and measurement of the signal degradation that occurs between the various
S.C. Maxwell +3 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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