Article
Geochemistry & Geophysics
A. Abi Nader, J. Albaric, M. Steinmann, C. Hibert, J-P Malet, C. Sue, B. Fores, A. Marchand, M. Gros, H. Celle, B. Pohl, V Stefani, A. Boetsch
Summary: Most water reservoirs are challenging to monitor as they are located underground, especially karst aquifers which have limited observations. In this study, a new approach using the Random Forests algorithm and seismic noise records is proposed to predict underground river water height. The algorithm successfully predicts water height by analyzing signal energy features, even for weak noise recorded at the surface. The efficiency of the algorithm is above 95% for underground seismic stations and 53% for surface seismic stations, as measured by the Nash-Sutcliffe criterion.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Geochemistry & Geophysics
A. Shaiban, S. A. L. de Ridder, A. Curtis
Summary: Surface waves are seismic waves that propagate on the Earth's surface and their depth ranges depend on frequency. By estimating the dispersion characteristics of these waves, the velocity structure beneath the surface can be inferred. Researchers have developed an inversion scheme that utilizes the scalar wave equation to estimate surface wave dispersion and reconstruct the wavefield continuously.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Stanislav Glubokovskikh, Roman Pevzner, Evgeny Sidenko, Konstantin Tertyshnikov, Boris Gurevich, Sergey Shatalin, Alexey Slunyaev, Efim Pelinovsky
Summary: Ocean-generated seismic waves are commonly found in passive seismic records worldwide, posing challenges for earthquake observations and providing input signals for interferometric methods. By analyzing data from deep boreholes in Australia, this study decomposed the DAS response into microseisms generated by remote storms, local winds, and surf breaks. The results suggest that passive seismic records on downhole DAS sensors have the potential for high-precision monitoring of formations and remote storms.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2021)
Article
Geochemistry & Geophysics
Yang Lu, Helle A. Pedersen, Laurent Stehly
Summary: The study reveals that the noise field in Europe is mainly dominated by surface waves from the North Atlantic Ocean, with a significant additional contribution from the eastern part of the Mediterranean Sea in summer. The relative contributions of the primary and secondary microseismic peaks are frequency-dependent, showing variations in different seasons.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Oluwaseyi J. Bolarinwa, Charles A. Langston
Summary: In this study, we used nonlinear thresholding and scale-time gating in the continuous wavelet transform domain to denoise, identify, and characterize seismic phases in waveforms recorded during seismic events. The CWT techniques improved signal-to-noise ratio and array beam quality, and allowed for the extraction and identification of different phases. This denoising and wavefield decomposition techniques also improved the analysis results of the geodetic array, providing clearer P wave onsets and reducing location uncertainty.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Computer Science, Interdisciplinary Applications
Wu Wang, Wei Zhang, Tao Lei
Summary: With the increasing use of seismic waveform inversion and imaging, the scale of numerical simulations of seismic waves has been increasing. To address the resulting difficulties in storage, reading, and processing, data compression is applied. TuckerMPI, a recently developed compression tool, is compared with other methods, and its efficacy in accelerating seismic waveform inversion is studied.
COMPUTERS & GEOSCIENCES
(2023)
Article
Engineering, Civil
Lei Chen, Senlin Yang, Lei Guo, Panlong Zhang, Kai Li, Wei Shao, Xinji Xu, Fahe Sun
Summary: Unknown geology ahead of the tunnel boring machine poses a significant safety risk. Utilizing TBM drilling noise for seismic prospecting allows for near-real-time detection, meeting the requirements of rapid drilling. By introducing deep learning methods, the accuracy of geological prospecting can be improved by accurately retrieving the reflection signal.
Article
Geochemistry & Geophysics
Chao Song, Yang Liu, Pengfei Zhao, Tianshuo Zhao, Jingbo Zou, Cai Liu
Summary: Simulating seismic wave propagation is essential in applied geophysics, and it is important to consider the elastic nature of the Earth when simulating seismic waves. Solving the elastic wave equation is computationally expensive compared to the acoustic wave equation, especially for the finite-difference method. In this study, we propose a deep learning framework called physics-informed neural networks (PINNs) to solve the scattered form of the frequency-domain elastic wave equation, and demonstrate its ability to simulate multicomponent elastic wavefields accurately.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Geochemistry & Geophysics
Can Oren, Jeffrey Shragge
Summary: The study proposes a methodology for microseismic image-domain wavefield tomography using the elastic wave equation and zero-lag and extended source images to improve the accuracy of elastic velocity models and event location precision.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Sebastian Rost, Daniel A. Frost, Andy Nowacki, Laura Cobden
Summary: The seismic wavefield carries important information about the seismic source and Earth's structure, but current methods have limitations in resolving fine scale structure. In this study, we show that analyzing slowness vector deviations can help extend our knowledge to smaller scales. By analyzing seismic array data, we were able to detect strong focal and defocal effects of the teleseismic wavefield, providing more insight into the fine scale velocity structure of Earth's interior.
EARTH AND PLANETARY SCIENCE LETTERS
(2023)
Article
Geochemistry & Geophysics
Billy Revelo-Obando, Gerrit Blacquiere
Summary: The ultimate goal in survey design is to obtain the most affordable data that fulfills certain image quality requirements. A method for optimizing receiver geometry is proposed, using a receiver density function that determines the number of receivers per unit area. This function is optimized through iterative gradient descent, minimizing the difference between the current acquisition geometry and a reference image.
Article
Geosciences, Multidisciplinary
Matteo Ravasi
Summary: Seismic data processing heavily relies on physics-driven inverse problems, often solved using sparsity-promoting inversion with fixed-basis transforms. However, such transforms may produce sub-optimal solutions due to their linear assumption. In this study, we propose training an AutoEncoder network to learn a nonlinear mapping between seismic data and a representative latent manifold, which outperforms fixed-basis transforms for various seismic processing tasks.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Environmental Sciences
Mingzhi Chu, Pengfei Yu
Summary: This study proposes a novel method for decomposing the upgoing and downgoing P/S waves in ocean-bottom seismic data by introducing an additional dimension for calibration, effectively suppressing water-layer multiples and cross-talks between P- and S-waves. The effectiveness of the method is demonstrated through an example.
Article
Geosciences, Multidisciplinary
Yiran Jiang, Jieyuan Ning, Jingchong Wen, Yongxiang Shi
Summary: This study demonstrates the existence of the Doppler effect in the seismic wavefield caused by periodically distributed viaduct piers of high-speed rail, using theoretical analysis and observational data. It also analyzes the influence of the Doppler effect on the spectral features of the wavefield. Furthermore, a speed measurement method based on the Doppler effect is proposed and yields stable and consistent results.
SCIENCE CHINA-EARTH SCIENCES
(2022)
Article
Geochemistry & Geophysics
Zhi Hu, Teng Wang, Qian Wang
Summary: In this letter, a novel method called FK vector classification (FKVC) is proposed to separate the up-going and down-going wavefields from 2D VSP data. The method utilizes the curvelet transform (CT) to extract the direction information of the VSP signal and then separates the wavefields based on the FK vector. The results demonstrate that FKVC has a better separation result compared to the traditional frequency-wavenumber (FK) transform method.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Engineering, Geological
Francesco Mulargia, Silvia Castellaro, Gianluca Vinco
CANADIAN GEOTECHNICAL JOURNAL
(2015)
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Geochemistry & Geophysics
Francesco Mulargia, Andrea Bizzarri
GEOPHYSICAL JOURNAL INTERNATIONAL
(2015)
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Physics, Multidisciplinary
Francesco Mulargia, Alexander Kamenshchik
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Geochemistry & Geophysics
Francesco Mulargia, Andrea Bizzarri
PHYSICS OF THE EARTH AND PLANETARY INTERIORS
(2016)
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Geochemistry & Geophysics
Francesco Mulargia, Silvia Castellaro
PHYSICS OF THE EARTH AND PLANETARY INTERIORS
(2016)
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Geochemistry & Geophysics
Francesco Mulargia, Philip B. Stark, Robert J. Geller
PHYSICS OF THE EARTH AND PLANETARY INTERIORS
(2017)
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Geosciences, Multidisciplinary
Francesco Mulargia, Guido Visconti, Robert J. Geller
EARTH-SCIENCE REVIEWS
(2018)
Editorial Material
Geochemistry & Geophysics
Francesco Mulargia, Philip B. Stark, Robert J. Geller
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BULLETIN OF EARTHQUAKE ENGINEERING
(2014)
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Engineering, Geological
Silvia Castellaro, Luis Alberto Padron, Francesco Mulargia
BULLETIN OF EARTHQUAKE ENGINEERING
(2014)
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Geochemistry & Geophysics
Francesco Mulargia
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA
(2013)
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Multidisciplinary Sciences
Francesco Mulargia, Andrea Bizzarri
SCIENTIFIC REPORTS
(2014)
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Francesco Mulargia
GEOPHYSICAL JOURNAL INTERNATIONAL
(2019)
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Astronomy & Astrophysics
Francesco Mulargia
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2017)
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Geochemistry & Geophysics
F. Mulargia, P. Gasperini, B. Lolli, P. B. Stark
BOLLETTINO DI GEOFISICA TEORICA ED APPLICATA
(2015)
