Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – a state-of-the-art review
Yongliang Yan, Yongliang Yan, Tohid N. Borhani, Sai Gokul Subraveti, Kasturi Nagesh Pai, Vinay Prasad, Arvind Rajendran, Paula Nkulikiyinka, Jude O. Asibor, Zhien Zhang, Ding Shao, Lijuan Wang, Wenbiao Zhang, Yong Yan, Yong Yan, William Ampomah, Junyu You, Meihong Wang, Edward J. Anthony, Vasilije Manović, Peter T. Clough
Abstract
A review of the state-of-the-art applications of machine learning for CO 2 capture, transport, storage, and utilisation.
Topics & Concepts
State (computer science)Power (physics)Computer scienceCarbon fibersState of artProcess engineeringData scienceEngineeringPhysicsProgramming languageAlgorithmQuantum mechanicsComposite numberCarbon Dioxide Capture TechnologiesAtmospheric and Environmental Gas DynamicsCO2 Sequestration and Geologic Interactions