Results 51 to 60 of about 1,357,139 (273)

An optimizing microseismic method for rock burst early warning based on mining production process

Deep Underground Science and Engineering, EarlyView.
A classification early warning method of rock burst based on hourly microseismic data is proposed, which can be combined with the on‐site production process to provide more timely warning. Abstract Microseismic (MS) events have been reported in nearly every coal mining country, which could well lead to rock burst in underground coal mines.
Zepeng Han, Linming Dou, Wu Cai, Mingbo Chi, Guojun Xi, Shuai Chen, Biao Jiao   +6 more
wiley   +1 more source

A U-Net Based Multi-Scale Deformable Convolution Network for Seismic Random Noise Suppression

Remote Sensing, 2023
Seismic data processing plays a key role in the field of geophysics. The collected seismic data are inevitably contaminated by various types of noise, which makes the effective signals difficult to be accurately discriminated.
Haixia Zhao, You Zhou, Tingting Bai, Yuanzhong Chen   +3 more
doaj   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Random noise suppression of seismic data based on CEEMD-MSSA

矿业科学学报
Random noise is one of the common noises in seismic data, which has a direct impact on high-resolution imaging processing and fine interpretation of seismic data. Random noise attenuation methods based on the low-rank hypothesis of seismic data have been
WANG Shubin, LIU Yulin, LI Xiaoli, LIN Peng, GAO Lijun   +4 more
doaj   +1 more source

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

Deep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

AMBIENT SEISMIC NOISE FOOTPRINTS AND SPECTRA IN THE MIDDLE BENUE TROUGH, NIGERIA

Earth Science Malaysia, 2019
Ambient noise was analysed from a two-dimensional (2D) seismic data acquired in the Middle Benue Trough, Nigeria for the purpose of characterizing the ambient seismic noise.
Clifford N. C. Mbachi, Etim D. Uko, Chibuogwu L. Eze, Iyeneomie Tamunobereton -Ari, Dorathy B. Umoetok, Allu A. Umbugdau   +5 more
doaj   +1 more source

Multi‐factor coupling effects in hydraulic fracturing of laminated shale: Experimental insights and physics‐informed neural network‐driven optimization

Deep Underground Science and Engineering, EarlyView.
This study establishes a multi‐factor coupling framework for predicting breakdown pressure in laminated shale by integrating experimental hydraulic fracturing tests, physics‐informed neural networks (PINNs), and Sobol sensitivity analysis. It reveals how differential stress, the bedding dip angle, and the injection rate interact to influence fracture ...
Tao Wang, Guoyao Xu, Liyuan Liu, Yao Zhang, Sitao Zhu, Hongyang Chu, Kaikai Zhao   +6 more
wiley   +1 more source

Swedish National Seismic Network

, 1904
The Swedish National Seismic Network (SNSN) started with the installation of a Wiechert seismograph in Uppsala in 1904. Since 1998 the SNSN is a part of the Department of Earth Sciences at Uppsala University.
Swedish National Seismic Network
core   +1 more source

Mechanism of “seesaw‐type” rock burst in coal seam mining beneath mountainous areas

Deep Underground Science and Engineering, EarlyView.
This study reveals the mechanism of “seesaw‐type” rock bursts during coal mining beneath mountainous areas. The advancing working face induces nonuniform fracturing of the overburden. The detached mountain mass then undergoes a seesaw‐type rotational movement around a shifting pivot, driving the primary fracture through a characteristic “open‐close ...
Chao Zhou, Xueqiu He, Zhenlei Li, Ping Wang, Dazhao Song, Fuxing Jiang, Shan Yin, Anliang Lü, Menghan Wei, Taoping Zhong   +9 more
wiley   +1 more source

Modeling and monitoring injectivity evolution during cold CO2 injection with field evidence from aquistore carbon capture and storage operations

Deep Underground Science and Engineering, EarlyView.
This work integrates 5 years of field data from the Aquistore CCS project with a non‐isothermal THM modeling framework to explain how cold CO2 injection alters injectivity over time. The study shows that sustained cooling near the wellbore reduces effective stresses, promotes tensile micro‑cracking, and leads to semi‑reversible permeability enhancement
Alireza Rangriz Shokri, Stephen Talman, Erik Nickel, Rick Chalaturnyk   +3 more
wiley   +1 more source