Application of machine learning in carbon capture and storage: An in-depth insight from the perspective of geoscience

P Yao, Z Yu, Y Zhang, T Xu - Fuel, 2023 - Elsevier
Greenhouse gas emissions cause serious global climate change, and it is urgent to curb CO
2 emissions. As the last-guaranteed technology to reduce carbon emissions, carbon capture …

Comparison of machine learning and deep learning algorithms for hourly global/diffuse solar radiation predictions

O Bamisile, A Oluwasanmi, C Ejiyi… - … Journal of Energy …, 2022 - Wiley Online Library
Due to the advancement and wide adoption/application of solar‐based technologies, the
prediction of solar irradiance has attracted research attention in recent years. In this study …

[HTML][HTML] Advances in Geochemical Monitoring Technologies for CO2 Geological Storage

J Ma, Y Zhou, Y Zheng, L He, H Wang, L Niu, X Yu… - Sustainability, 2024 - mdpi.com
CO2 geological storage, as a large-scale, low-cost, carbon reduction technology, has
garnered widespread attention due to its safety. Monitoring potential leaks is critical to …

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 …

CO2 geological storage: Critical insights on plume dynamics and storage efficiency during long-term injection and post-injection periods

Y Zapata, MR Kristensen, N Huerta, C Brown… - Journal of Natural Gas …, 2020 - Elsevier
In the quest for net-zero greenhouse gas emission, CO 2 capture and storage technologies
play a prominent role. Estimates suggest a potential of sequestering up to several thousand …

[HTML][HTML] Continuous conditional generative adversarial networks for data-driven modelling of geologic CO2 storage and plume evolution

M Stepien, CAS Ferreira, S Hosseinzadehsadati… - Gas Science and …, 2023 - Elsevier
Storing CO 2 in geological formations requires accurate monitoring of the plume evolution
for safe long-term operations, and traditionally, carbon storage practices rely on the …

Emergent neologism: A study of an emerging meaning with competing forms based on the first six months of COVID-19

S Lei, R Yang, CR Huang - Lingua, 2021 - Elsevier
This paper investigates the emergence of COVID-19 neologisms. It focuses on the strategies
used to coin emerging neologisms, the relationship between the strategies and the usage …

Estimation of thermophysical property of hybrid nanofluids for solar Thermal applications: Implementation of novel Optimizable Gaussian Process regression (O-GPR) …

H Adun, I Wole-Osho, EC Okonkwo, T Ruwa… - Neural Computing and …, 2022 - Springer
Solar energy technologies represent a viable alternative to fossil fuels for meeting
increasing global energy demands. However, to increase the production of solar …

Thermodynamic analysis and optimization of a multi-stage compression system for CO2 injection unit: NSGA-II and gradient-based methods

A Allahyarzadeh-Bidgoli, PEB de Mello… - Journal of the Brazilian …, 2021 - Springer
The injection of CO 2 into oil reservoirs is used by the oil and gas industry for enhanced oil
recovery (EOR) and/or the reduction of environmental impact. The compression systems …

Caprock sealing integrity and key indicators of CO2 geological storage considering the effect of hydraulic-mechanical coupling: X field in the Bohai Bay Basin, China

B Chen, Q Li, Y Tan, Y Zhang, T Yu, J Ma, Y Zhong… - Engineering …, 2024 - Elsevier
Caprock sealing efficiency is an essential guarantee for the long-term safety and stability of
CO 2 geological storage (CCS). However, the uncertainty in the physical and mechanical …