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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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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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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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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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Weak signal detection using multiscale morphology in microseismic monitoring
Journal of Applied Geophysics, 2016Abstract Microseismic events caused by hydraulic fracturing are usually very weak. The magnitude range of microseismic signals is usually from − 3 to 1 Mw. Processing techniques such as band-pass filtering, are widely adopted to improve the signal-to-noise (S/N) ratio of microseismic data, while with a degradation of signal quality.
Huijian Li +5 more
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Identification of blasting vibration and coal-rock fracturing microseismic signals
Applied Geophysics, 2018Α new method based on variational mode decomposition (VMD) is proposed to distinguish between coal-rock fracturing and blasting vibration microseismic signals. First, the signals are decomposed to obtain the variational mode components, which are ranked by frequency in descending order.
Xing-Li Zhang +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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Spectrum characteristics analysis of microseismic signals transmitting between coal bedding
Safety Science, 2012Abstract This study was performed to investigate the propagation law of microseismic signals transmitting along the direction parallel and vertical to the bedding in the process of coal rock rupture under uniaxial compression. Microseismic signals during the whole process of coal-rock deformation fracture until burst failure was tested by using the ...
Chengwu Li +4 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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