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Hema Siriwardane

Government of the United States of America - National Energy Technology Laboratory (NETL)

Morgantown, WV

United States

SCHOLARLY PAPERS

5

DOWNLOADS

429

TOTAL CITATIONS

0

Scholarly Papers (5)

1.

Physics Coupled Machine Learning Applications for Geological Carbon Storage

Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17) 20-24 October 2024
Number of pages: 10 Posted: 13 Jan 2025
Guoxiang Liu, Chung-Yan Shih, Luciane Cunha and Hema Siriwardane
Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL) and Government of the United States of America - National Energy Technology Laboratory (NETL)
Downloads 142 (527,599)

Abstract:

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Geological Carbon Storage, Articificial Intellegence, Machine Learning, Virtual Learning Envrionment, Capcacitance Resistence Model, Real-Time

2.

SMART – a Comprehensive Research and Development Program to Demonstrate Application of Machine Learning for Supporting CCS Deployment

Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17) 20-24 October 2024
Number of pages: 15 Posted: 17 Dec 2024
Government of the United States of America - National Energy Technology Laboratory (NETL), Texas A&M University (TAMU), Central Texas, Government of the United States of America - National Energy Technology Laboratory (NETL), US Department of Energy Office of Fossil Energy and Carbon Management, US Department of Energy Office of Fossil Energy and Carbon Management, Government of the United States of America - Los Alamos National Laboratory, University of Texas at Austin - Gulf Coast Carbon Center, Lawrence Berkeley National Lab, Lawrence Livermore National Laboratory, Lawrence Livermore National Laboratory and Sandia National Laboratories
Downloads 100 (689,572)

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machine learning; CO2 storage; reservoir management; reservoir optimization; real-time visualization

3.

Unveiling the Potential of MeshGraphNets for Predicting Subsurface Evolution in Carbon Storage Projects

Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17) 20-24 October 2024
Number of pages: 9 Posted: 13 Jan 2025
National Energy Technology Laboratory, Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL) and Government of the United States of America - National Energy Technology Laboratory (NETL)
Downloads 83 (790,029)

Abstract:

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Deep Learning, Graph Neural Network, MeshGraphNets

4.

Enhancing Fluid Flow Pressure and Saturation Prediction Accuracy and Reducing Uncertainty with Committee Machine -Illinois Basin Decatur Project (IBDP) as a Case Study

Proceedings of the 17th Greenhouse Gas Control Technologies Conference (GHGT-17) 20-24 October 2024
Number of pages: 8 Posted: 13 Jan 2025
Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL) and Government of the United States of America - National Energy Technology Laboratory (NETL)
Downloads 70 (883,195)

Abstract:

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Committee machine, deep ensemble learning, neural operators, latent spectral model, high-dimensionality, latent-space solution

5.

Fracture Networks Imaging in CO 2 Injection Zones in IBDP Site: An Unsupervised Machine Learning Application with Multiple Datasets

Number of pages: 9 Posted: 14 Jan 2025
Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL), Government of the United States of America - National Energy Technology Laboratory (NETL) and Government of the United States of America - National Energy Technology Laboratory (NETL)
Downloads 34 (1,263,436)

Abstract:

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CO2 Injection, CO2 Storage, IBDP, Machine Learning, Multiple Datasets, Fracture Network, Microseismic Data, Geomechanics