Recent research advances in enhanced CO2 mineralization and geologic CO2 storage.
Enhanced CO< sub> 2 mineralization and geologic CO< sub> 2 storage have received
increasing attention as two prominent approaches in combating climate change and …
increasing attention as two prominent approaches in combating climate change and …
U-DeepONet: U-Net enhanced deep operator network for geologic carbon sequestration
W Diab, M Al Kobaisi - Scientific Reports, 2024 - nature.com
Learning operators with deep neural networks is an emerging paradigm for scientific
computing. Deep Operator Network (DeepONet) is a modular operator learning framework …
computing. Deep Operator Network (DeepONet) is a modular operator learning framework …
Geological reservoir characterization tasks based on computer vision techniques
L da Silva Bomfim, MVT Soares, AC Vidal… - Marine and Petroleum …, 2024 - Elsevier
Reservoir characterization is of great importance in oil and gas exploration and production.
To automate and improve the procedures involved in this task, several approaches in the …
To automate and improve the procedures involved in this task, several approaches in the …
Deep learning-based geological parameterization for history matching CO2 plume migration in complex aquifers
History matching is crucial for reliable numerical simulation of geological carbon storage
(GCS) in deep subsurface aquifers. This study focuses on inferring highly complex aquifer …
(GCS) in deep subsurface aquifers. This study focuses on inferring highly complex aquifer …
A deep learning-based surrogate model for trans-dimensional inversion of discrete fracture networks
R Feng, S Nasser - Journal of Hydrology, 2024 - Elsevier
Fractures and their geometrical patterns are usually required to analyze the mechanical and
flow properties of porous media in the subsurface. Fracture characterization is therefore …
flow properties of porous media in the subsurface. Fracture characterization is therefore …
[HTML][HTML] A physics-constraint neural network for CO2 storage in deep saline aquifers during injection and post-injection periods
CO 2 capture and storage is a viable solution in the effort to mitigate global climate change.
Deep saline aquifers, in particular, have emerged as promising storage options, owing to …
Deep saline aquifers, in particular, have emerged as promising storage options, owing to …
Uncertainty quantification of CO2 plume migration in highly channelized aquifers using probabilistic convolutional neural networks
Abstract Characterization of the CO 2 plume evolution in deep aquifers under geological
uncertainties is crucial for designing geological carbon storage (GCS) projects. In this study …
uncertainties is crucial for designing geological carbon storage (GCS) projects. In this study …
CO2 storage efficiency in saline aquifers: Insight from the numerical modeling of immiscible displacement
I Sypchenko, A Afanasyev - Physics of Fluids, 2024 - pubs.aip.org
We estimate the storage efficiency and the maximum migration distance of CO 2 injected
through a vertical well into a homogeneous open aquifer. The efficiency is regarded as a …
through a vertical well into a homogeneous open aquifer. The efficiency is regarded as a …
Graph Network Surrogate Model for Optimizing the Placement of Horizontal Injection Wells for CO2 Storage
H Tang, LJ Durlofsky - arXiv preprint arXiv:2410.07142, 2024 - arxiv.org
Optimizing the locations of multiple CO2 injection wells will be essential as we proceed from
demonstration-scale to large-scale carbon storage operations. Well placement optimization …
demonstration-scale to large-scale carbon storage operations. Well placement optimization …
Multiscale Extended Finite Element Method for the Simulation of Fractured Geological Formations
In the prevailing context of the 21st century, characterized by a predominant reliance on oil
and gas, or in the promising future where green energy shapes a human society committed …
and gas, or in the promising future where green energy shapes a human society committed …