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07/28/2023
Does Full Waveform Inversion Benefit from Big Data?
This paper investigates the impact of big data on deep learning models f...
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06/21/2023
𝔼^𝐅𝐖𝐈: Multi-parameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties
Elastic geophysical properties (such as P- and S-wave velocities) are of...
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06/14/2023
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation
Hybrid Optimization Software Suite (HOSS), which is a combined finite-di...
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05/26/2023
Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robustness
Full waveform inversion (FWI) infers the subsurface structure informatio...
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04/28/2022
An Intriguing Property of Geophysics Inversion
Inversion techniques are widely used to reconstruct subsurface physical ...
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02/03/2022
Exploring Multi-physics with Extremely Weak Supervision
Multi-physical inversion plays a critical role in geophysics. It has bee...
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11/04/2021
OpenFWI: Benchmark Seismic Datasets for Machine Learning-Based Full Waveform Inversion
We present OpenFWI, a collection of large-scale open-source benchmark da...
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05/25/2021
Connect the Dots: In Situ 4D Seismic Monitoring of CO_2 Storage with Spatio-temporal CNNs
4D seismic imaging has been widely used in CO_2 sequestration projects t...
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03/25/2021