[HTML][HTML] Synthetic ground motions in heterogeneous geologies from various sources: the HEMEW-3D database
The ever-improving performances of physics-based simulations and the rapid developments
of deep learning are offering new perspectives to study earthquake-induced ground motion …
of deep learning are offering new perspectives to study earthquake-induced ground motion …
Joint Inversion of Seismic and Resistivity Data Powered by Deep-learning
Incorporating multiple perspectives makes joint inversion of multiple geophysical data sets
an effective way for improving the accuracy of imaging complex geological structures. In this …
an effective way for improving the accuracy of imaging complex geological structures. In this …
Seismic PP-wave AVO inversion method for VTI media based on double discriminator conditional generative adversarial networks
Y Sun, H Dong, G Chen, Y Shang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Elastic parameters play pivotal roles in geophysics, with seismic amplitude variation with
offset (AVO) inversion being a common method for obtaining the parameters. In contrast to …
offset (AVO) inversion being a common method for obtaining the parameters. In contrast to …
Learned regularizations for multi‐parameter elastic full waveform inversion using diffusion models
MH Taufik, F Wang, T Alkhalifah - Journal of Geophysical …, 2024 - Wiley Online Library
Elastic full waveform inversion (EFWI) promises to account for the Earth's elastic nature and
corresponding reflectivity, which is often disregarded in the commonly used acoustic FWI …
corresponding reflectivity, which is often disregarded in the commonly used acoustic FWI …
Physics and Deep Learning in Computational Wave Imaging
Computational wave imaging (CWI) extracts hidden structure and physical properties of a
volume of material by analyzing wave signals that traverse that volume. Applications include …
volume of material by analyzing wave signals that traverse that volume. Applications include …
Two-dimensional Seismic Velocity Inversion via Enhanced Multi-view Convolutional Neural Networks for Regression
C Pan, Y Huang, Q Wang, J Li… - 2024 International Joint …, 2024 - ieeexplore.ieee.org
Seismic exploration is a mainstream technique to find subsurface raw oil and gas in energy
industry, which stimulates seismic wave on the Earth's surface, receives seismic waves from …
industry, which stimulates seismic wave on the Earth's surface, receives seismic waves from …
High-resolution seismic reservoir monitoring with multitask and transfer learning
AM Ahmed, I Tsvankin, Y Liu - SEG International Exposition and …, 2024 - onepetro.org
High-resolution real-time monitoring of reservoir changes is essential during CO2 injection
or hydrocarbon production. This study leverages convolutional neural networks (CNNs) …
or hydrocarbon production. This study leverages convolutional neural networks (CNNs) …
Auto-Linear Phenomenon in Subsurface Imaging
Subsurface imaging involves solving full waveform inversion (FWI) to predict geophysical
properties from measurements. This problem can be reframed as an image-to-image …
properties from measurements. This problem can be reframed as an image-to-image …
Generating geophysical models from text for constructing the dataset of learning-based MT inversion
We propose a method for generating datasets through textual descriptions. This approach
first converts the text into vector information using text embedding, and then inputs the …
first converts the text into vector information using text embedding, and then inputs the …