Results 71 to 80 of about 6,541 (225)
CNN-Transformer for Microseismic Signal Classification [PDF]
, 2023 The microseismic signals of coal and rock fractures collected by underground sensors contain masses of blasting vibration signals generated by coal mine blasting, and the waveforms of the two signals are highly similar.
Zihan Zhang +3 more
core +1 more source
Geophysical Research Letters, 2018 Previous studies show that a temporal drop in the b value (slope) of magnitude‐frequency distributions observed during hydraulic‐fracturing operations could signify the activation of a preexisting fault system.
Nadine Igonin +2 more
doaj +1 more source
Seismic Insights Into the Role of Rockfall in Rockslide Destruction Processes
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract The dynamic link between rockslide failure and rockfall activity remains elusive, primarily due to the challenge of detecting weak signals amidst high noise. We propose a seismic attribute guided deep learning framework that formulates rockfall detection as a time‐series segmentation task, facilitating the precise extraction of rockfall events
Yaojun Wang +4 more
wiley +1 more source
Time difference of arrival estimation of microseismic signals based on alpha-stable distribution [PDF]
Nonlinear Processes in Geophysics, 2018 Microseismic signals are generally considered to follow the Gauss distribution. A comparison of the dynamic characteristics of sample variance and the symmetry of microseismic signals with the signals which follow α-stable distribution reveals that ...
R.-S. Jia +11 more
doaj +1 more source
Geophysical Research Letters, Volume 53, Issue 14, 28 July 2026.Abstract To explore mechanisms of rupture segmentation, we invert coseismic GNSS offsets for the 2025 Mw 7.6 Aomori, Japan earthquake. Our preferred curved‐fault solution images a compact thrust rupture at 25–50 km depth with peak slip ∼2.5 m near 35 km.
Xiaolong Zhang +6 more
wiley +1 more source
Applied SciencesThe environment for acquiring microseismic signals is always filled with complex noise, leading to the presence of abundant invalid signals in the collected data and greatly disturbing effective microseismic signals.
Sihongren Shen +6 more
doaj +1 more source
Geophysical Research Letters, Volume 53, Issue 13, 16 July 2026.Abstract Enhanced geothermal systems rely on increasing permeability and pore surface area in rock. Cyclic thermal shocking can achieve both by inducing thermal cracks through repeated rapid cooling. Laboratory experiments subjected micritic limestone, granodiorite, and trachybasalt to up to 10 thermal shock cycles, while tracking crack evolution ...
M. G. Malenda, T. Vanorio
wiley +1 more source
Automated Monitoring of a Hydraulic Fracture by Coalescence Microseismic Mapping [PDF]
, 2010 Coalescence microseismic mapping (CMM) is a method of hypocenter determination that does not require any human interaction during microseismic monitoring.
Bill Underhill +3 more
core +1 more source
Distributed Acoustic Sensing (DAS) Waveforms: Effects of Source Signature, Geometry, and Attenuation
Earth and Space Science, Volume 13, Issue 7, July 2026.Abstract Distributed acoustic sensing (DAS) records strain integrated over a finite gauge length depending on incidence angle, frequency, material velocities, fiber curvature, and gauge length. The DAS responses to a monofrequency plane wave of these are well understood.
Oumeng Zhang, Douglas R. Schmitt
wiley +1 more source
Resonance in downhole microseismic data and its removal [PDF]
, 2016 We identified resonance due to poor geophone-borehole cou- pling in downhole microseismic data and proposed to use spik- ing deconvolution and relative spectrum analysis to remove its effect.
Zhishuai Zhang +5 more
core +1 more source