Results 181 to 190 of about 5,383,519 (211)

Tracking microseismic signals from the reservoir to surface

The Leading Edge, 2012
Since 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, D. Raymer, M. Williams, P. Primiero   +3 more
openaire   +1 more source

Signal and Noise on Buried and Surface Geophones for Microseismic Monitoring

Proceedings, 2013
Surface 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
openaire   +1 more source

Identification of Microseismic Signals of Rock Mass Fracture in Mines

2020 7th International Conference on Information Science and Control Engineering (ICISCE), 2020
The 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, Wu Mengjun, Chen Tian, Feng Li, Zhao Bingchen   +4 more
openaire   +1 more source

Wavelet Basis Function of the Microseismic Signal Analysis

2011
Wavelet 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, Tong Min-ming, Pan Yu-xiang   +2 more
openaire   +1 more source

Tracking Microseismic Signal Loss From Reservoir to Surface

Proceedings, 2013
A 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, D. Raymer, M. Williams, P. Primiero   +3 more
openaire   +1 more source

A polarization filter method and applications for preprocessing microseismic signals

2013 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications, 2013
The 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
openaire   +1 more source

An automatic recognition method of microseismic signals based on EEMD-SVD and ELM

Computers & Geosciences, 2019
Abstract 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, Ruochen Jiang, Biao Li 0008, Nuwen Xu   +3 more
openaire   +1 more source

Passive surface microseismic monitoring as a statistical problem: location of weak microseismic signals in the presence of strongly correlated noise

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, Alexander Varypaev, Ilya Dricker, Mikhail Rozhkov, Nikita Rozhkov   +4 more
openaire   +1 more source

Shape Fitting Remediation of Amplitude Saturation Microseismic Signals

2011
The 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, Tong Min-ming, Pan Yu-xiang   +2 more
openaire   +1 more source

Automatic recognition of mining microseismic and blasting vibration signals

Physics of Fluids
Microseismic 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, Nan Li, Wenyi Liu, Jiaqi Feng, Shuowei Wang, Xinyu Sun   +5 more
openaire   +1 more source