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Interactive computational modelling to improve teaching of physics and mathematics in marine geophysics [PDF]

AIP Conference Proceedings, 2020
UID/GEO/50019/2019 UID/CED/02861/2019This study discusses the implementation of a learning sequence with interactive computational modelling activities in the context of introductory marine geophysics university courses.
Mc Neves
exaly   +2 more sources

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Physics and Geophysics

1939
exaly   +2 more sources

Physics, astronomy, geophysics

Vacuum, 1963
exaly   +2 more sources

Probabilistic physics-informed neural network for seismic petrophysical inversion#xD;

Geophysics, 2023
The main challenge in the inversion of seismic data to predict the petrophysical properties of hydrocarbon-saturated rocks is that the physical relations that link the data to the model properties are often non-linear and the solution of the inverse ...
Peng Li, Ming-Liang Liu, M. Alfarraj, P. Tahmasebi, D. Grana   +4 more
semanticscholar   +1 more source

PHYSICS AND GEOPHYSICS WITH SPECIAL REFERENCE TO PROBLEMS IN PHYSICAL OCEANOGRAPHY

1939
exaly   +2 more sources

Physics-guided deep learning for seismic inversion with hybrid training and uncertainty analysis

Geophysics, 2021
The determination of subsurface elastic property models is crucial in quantitative seismic data processing and interpretation. This problem is commonly solved by deterministic physical methods, such as tomography or full-waveform inversion.
Jian Sun, K. Innanen, Chao Huang
semanticscholar   +1 more source

Physics-Embedded Machine Learning for Electromagnetic Data Imaging: Examining three types of data-driven imaging methods

IEEE Signal Processing Magazine, 2022
Electromagnetic (EM) imaging is widely applied in sensing for security, biomedicine, geophysics, and various industries. It is an ill-posed inverse problem whose solution is usually computationally expensive.
Rui Guo, Tianyao Huang, Maokun Li, H. Zhang, Y. Eldar   +4 more
semanticscholar   +1 more source

Accelerating innovation with software abstractions for scalable computational geophysics

Second International Meeting for Applied Geoscience & Energy, 2022
We present the SLIM (https://github.com/slimgroup) open-source software framework for computational geophysics, and more generally, inverse problems based on the wave-equation (e.g., medical ultrasound).
M. Louboutin, Philipp A. Witte, Ali Siahkoohi, G. Rizzuti, Ziyi Yin, Rafael Orozco, F. Herrmann   +6 more
semanticscholar   +1 more source

Physics-driven deep-learning inversion with application to transient electromagnetics

Geophysics, 2021
Machine learning, and specifically deep-learning (DL) techniques applied to geophysical inverse problems, is an attractive subject, which has promising potential and, at the same time, presents some challenges in practical implementation.
D. Colombo, E. Turkoglu, Weichang Li, E. Sandoval-Curiel, D. Rovetta   +4 more
semanticscholar   +1 more source

Coupling of regional geophysics and local soil-structure models in the EQSIM fault-to-structure earthquake simulation framework

The international journal of high performance computing applications, 2021
Accurate understanding and quantification of the risk to critical infrastructure posed by future large earthquakes continues to be a very challenging problem.
D. McCallen, Houjun Tang, Suiwen Wu, E. Eckert, Junfei Huang, N. Petersson   +5 more
semanticscholar   +1 more source