Results 61 to 70 of about 615 (171)

Adaptive filtering of microseismic data for monitoring a water-conducting fractured zone in a mine

Scientific Reports, 2022
Water-conducting fractured zones in a rock mass can cause problems in mining. Attempts have been made to monitor their development using microseismic signals.
Hongjiang Li, Liang Han, Donglin Dong
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, Yuxi Chen, Tuo Zhang, Hai Huang, Qi Zhou   +4 more
wiley   +1 more source

The 2025 Mw 7.6 Aomori Megathrust Earthquake in Northeast Japan: Failure of a Structurally and Rheologically Bounded Asperity Beneath a Cold Mantle Wedge

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, Shaoyang Li, Jinhong Shi, Yuji Itoh, Ji Zhang, Aitaro Kato, Ling Chen   +6 more
wiley   +1 more source

DAMPING MEASUREMENTS FROM MICROSEISMIC SIGNALS TO INFER ROCK MASS DAMAGING

Italian Journal of Engineering Geology and Environment, 2019
Geophysical monitoring performed on unstable portions of rock masses can help in defining a variation in its stability conditions, resulting as a useful indicator for landslide risk reduction. In particular, understanding geophysical markers of rock mass damaging, intended as the processes that lead to the formation or to the growth of fractures, could
DANILO D’ANGIÒ, LUCA LENTI, SALVATORE MARTINO   +2 more
openaire   +2 more sources

Cyclic Thermal Shock‐Induced Permeability Enhancement in Tight Lithologies: Microstructural Controls and Elastic‐Wave Monitoring

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

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

Active Hydrothermal Hydrogen Emissions in Continental Collision Settings: Insights From the Southeastern Tibetan Plateau

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 7, July 2026.
Abstract Natural hydrogen (H2) is a promising clean energy resource and a significant component of geothermal gases, yet its origins and release mechanisms remain poorly constrained. Here, we present geochemical and isotopic data (CO2, N2, Ar, H2, He, CH4, 3He/4He, δ13C‐CO2, and δ13C‐CH4) for hydrothermal gases from the Changning–Menglian suture (CMS),
Xuelian Huang, Xiaocheng Zhou, Jiao Tian, Yuwen Wang, Bingyu Yao, Zhaojun Zeng, Shuai Wang, Han Yan, Ruibin Li, Yingling Han, Yuxing Ren   +10 more
wiley   +1 more source

Identification of Microseismic Signals in Coal Mine Rockbursts Based on Hybrid Feature Selection and a Transformer

Applied Sciences
Deep learning algorithms are pivotal in the identification and classification of microseismic signals in mines subjected to impact pressure. However, conventional machine learning techniques often struggle to balance interpretability, computational ...
Jizhi Zhang, Hongwei Wang, Tianwei Shi
doaj   +1 more source

The Role of Crustal Rheology and Mantle Fluids on the Interseismic Behavior of the Main Marmara Fault

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 7, July 2026.
Abstract Faults can release tectonic loading either in the form of seismic events or via aseismic creep. The Main Marmara Fault (MMF) in the Sea of Marmara exhibits both locked and creeping behavior and poses a significant hazard to the megacity of Istanbul.
N. Fernandez, M. Cacace, M. Scheck‐Wenderoth   +2 more
wiley   +1 more source

Denoising method and application of microseismic signals for coal seam hydraulic fracturing based on deep neural network mode

Meitan xuebao
To address the challenges of low signal-to-noise ratio and difficulty in phase picking of microseismic signals induced by coal fracturing during hydraulic fracturing in coal seams, a deep neural network model based on a masking strategy is proposed (Mask
Quangui LI, Yulong ZHAO, Qianting HU, Yunpei LIANG, Wanjie SUN, Wenxi LI, Jinfei ZHAN, Jiangfu HE, Kun HE, Haiyu CHEN   +9 more
doaj   +1 more source