Results 161 to 170 of about 4,586 (215)

Casing deformation mechanisms of horizontal wells in seismically active zones: a comprehensive analysis. [PDF]

Sci Rep
Meng H, Zheng S, Jiang Z, Wang X, Shen Y, Zhou S, Pu Y, Ge H.   +7 more
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Research on acoustic emission precursor characteristics of coal sample unloading failure based on discrete wavelet analysis. [PDF]

Sci Rep
Ma S, Zhou Y, Ma D.
europepmc   +1 more source

Efficient Fracture Propagation Solver Based on the Displacement Discontinuity Method with Application to Fiber Optic Sensing. [PDF]

ACS Omega
You S, Qian X, Ling F, Liao Q, Yan Z, Wu X, Wang X, Li X.   +7 more
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Forecasting ocean wave-induced seismic noise. [PDF]

Sci Rep
Bertoldi A, Gaffet S, Prevedelli M, Smith DA.   +3 more
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The instability mechanisms and precursor information of different type rocks based on acoustic emission. [PDF]

PLoS One
Xue R, Kong Y, Feng J.
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Monitoring ocean currents during the passage of Typhoon Muifa using optical-fiber distributed acoustic sensing. [PDF]

Nat Commun
Lin J, Fang S, He R, Tang Q, Qu F, Wang B, Xu W.   +6 more
europepmc   +1 more source

Investigation of floor blasting for rock burst prevention in high-stress roadway under dynamic loading. [PDF]

Sci Rep
Li G, Cao A, Wang G, Bai X, Lyu G, Peng Y, Xie Y.   +6 more
europepmc   +1 more source

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Spectral Evaluation of Microseismic Signals

68th EAGE Conference and Exhibition incorporating SPE EUROPEC 2006, 2006
Spectral 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
openaire   +1 more source

Microseismic signal of a spring gravimeter

Measurement Techniques, 2007
It is shown that a spring gravimeter responds to microseisms with a pseudo-gravitational signal. Mathematical description of this signal is provided.
V. P. Dedov, V. M. Dorokhin, A. I. Kalenitskii, B. P. Filimonov   +3 more
openaire   +1 more source

Deep Convolutional Neural Network for Microseismic Signal Detection and Classification

Pure and Applied Geophysics, 2020
Reliable 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., Ma C., Pazzi V., Li T., Casagli N.   +4 more
openaire   +3 more sources