A test-time learning approach to reparameterize the geophysical inverse problem with a convolutional neural network
Regularization is critical for solving ill-posed geophysical inverse problems. Explicit
regularization is often used, but there are opportunities to explore the implicit regularization …
regularization is often used, but there are opportunities to explore the implicit regularization …
Inversion of Time-Lapse Surface Gravity Data for Detection of 3-D CO2 Plumes via Deep Learning
We introduce two algorithms that invert simulated gravity data to 3-D subsurface rock/flow
properties. The first algorithm is data-driven, deep learning (DL)-based approach, and the …
properties. The first algorithm is data-driven, deep learning (DL)-based approach, and the …
Surface gravity response of CO2 storage in the Johansen deep reservoir
This study regards the assessment of surface gravity surveying for CO2 plume monitoring in
the deep Johansen saline aquifer, a potential offshore site for CO2 geologic storage. We …
the deep Johansen saline aquifer, a potential offshore site for CO2 geologic storage. We …
Joint inversion of Time-Lapse Surface Gravity and Seismic Data for Monitoring of 3D CO Plumes via Deep Learning
A Celaya, M Araya-Polo - arXiv preprint arXiv:2310.04430, 2023 - arxiv.org
We introduce a fully 3D, deep learning-based approach for the joint inversion of time-lapse
surface gravity and seismic data for reconstructing subsurface density and velocity models …
surface gravity and seismic data for reconstructing subsurface density and velocity models …
Investigating the application of test-time machine learning methods for geophysics inverisons
A Xu - 2024 - open.library.ubc.ca
Artificial intelligence (AI) has become a driving force for innovation, and Canada has been at
the forefront of this movement. One area where AI shows great promise is the earth …
the forefront of this movement. One area where AI shows great promise is the earth …