Results 51 to 60 of about 19,474 (278)

Seismic noise emission induced by seismic waves [PDF]

Geophysical Journal International, 1994
The in situ rock undergoing different kinds of deformation accumulates elastic energy that can be released spontaneously or under artificial effect. Triggering of energy can also be performed by means of a dynamic excitation caused by elastic waves. We carried out special field investigations with the use of seismic vibrators (Vibroseis-like sources ...
N. K. Privalovskiy, I. A. Beresnev
openaire   +1 more source

Numerical and experimental study on P‐wave propagation across a rock joint with different orientations

Deep Underground Science and Engineering, EarlyView.
Joint orientation significantly affects P‐wave velocity, with the highest velocity at zero‐degree angles, decreasing to 30° as the angle increases. The velocity increases slightly from 30 to 45 degrees but sharply decreases from 45 to 90 degrees. Abstract Determination of the required parameters in different science contexts using the ultrasonic wave ...
Yaghoob Zarei, Mojtaba D. fallahi, Ali Uromeihy, Mohammad R. Nikoodel, Mohammad Fathollahy   +4 more
wiley   +1 more source

Gaborlet‐guided sparse filtering: A novel intelligent method for lithology identification by vibration signals while drilling

Deep Underground Science and Engineering, EarlyView.
The flowchart illustrates rock specimen testing, vibration signal acquisition, and feature extraction with Gaborlet and sparse filtering for classification. Abstract Traditional lithology identification methods mainly rely on core sampling and well‐logging data.
Jian Hao, Danqi Zhang, Zhenqi Song, Jinrui Wang, Qi Wang, Heqing Liu   +5 more
wiley   +1 more source

Research on Deep Convolutional Neural Network Time-Frequency Domain Seismic Signal Denoising Combined With Residual Dense Blocks

Frontiers in Earth Science, 2021
Deep Convolutional Neural Networks (DCNN) have the ability to learn complex features and are thus widely used in the field of seismic signal denoising with low signal-to-noise ratio (SNR).
Zhitao Gao, Zhitao Gao, Song Zhang, Jianxian Cai, Jianxian Cai, Li Hong, Li Hong, Jiangshan Zheng   +7 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

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

DEAE-INR: Dual Encoder Based Autoencoders With Implicit Neural Representations for Seismic Random Noise Attenuation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Seismic random noise attenuation is an essential step in seismic data processing. Noise in seismic data may degrade their quality, which leads to misinterpretation of Earth's subsurface structures.
Nakka Shekhar, Karthikeyan Elumalai
doaj   +1 more source

Expand Dimensional of Seismic Data and Random Noise Attenuation Using Low-Rank Estimation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Random noise attenuation in seismic data requires employing leading-edge methods to attain reliable denoised data. Efficient noise removal, effective signal preservation and recovery, reasonable processing time with a minimum signal distortion and ...
Javad Mafakheri, Amin Roshandel Kahoo, Rasoul Anvari, Mokhtar Mohammadi, Mohammad Radad, Mehrdad Soleimani Monfared   +5 more
doaj   +1 more source

Design &implementation of complex-valued FIR digital filters with application to migration of seismic data [PDF]

, 2006
One-dimensional (I-D) and two-dimensional (2-D) frequency-space seismic migration FIR digital filter coefficients are of complex values when such filters require special space domain as well as wavenumber domain characteristics. In this thesis, such FIR
Mousa, Wail Abdul-Hakim
core  

The 2025 Kamchatka Earthquake and Tsunami: Cascading Impacts and Risks to Japan

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT On July 29th, 2025, a large earthquake (Mw 8.8) occurred near the Kamchatka Peninsula. This event caused a tsunami that reached Japan's Pacific coast, even though the source was far away. In this study, we analyze the characteristics of earthquakes and tsunamis and discuss how they relate to the recurrence possibility and risk in Japan.
Ampan Laosunthara, An‐Chi Cheng, Yo Fukushima, Yoshinori Shigihara, Natt Leelawat, Anawat Suppasri, Fumihiko Imamura   +6 more
wiley   +1 more source