H048
Scientific Machine Learning for Flow, Transport, and Coupled Processes Across Temporal and Spatial Scales I

Tuesday, 8 December 2020: 17:30-18:30
Virtual
Primary Convener:  Hongkyu Yoon, Sandia National Laboratories, Department of Geomechanics, Albuquerque, NM, United States
Convener:  Jonghyun Harry Lee, University of Hawai‘i at Mānoa, Civil and Environmental Engineering, Honolulu, HI, United States
Primary Liaison:  Diana Holford Bacon, Pacific Northwest National Laboratory, Richland, WA, United States
Chairs:  Hongkyu Yoon, Sandia National Laboratories, Department of Geomechanics, Albuquerque, NM, United States and Jonghyun Harry Lee, University of Hawai‘i at Mānoa, Civil and Environmental Engineering, Honolulu, HI, United States
OSPA Liaison:  Zhangshuan Hou, Pacific Northwest National Laboratory, Richland, WA, United States
17:30
H048-01
Deep learning model of the geochemical impacts of carbon dioxide and brine leakage into overlying aquifers at geologic storage sites (671435)
Diana Holford Bacon, Pacific Northwest National Laboratory, Richland, WA, United States
17:34
H048-02
The application of machine learning to a parametric analysis of fluid migration during geological carbon sequestration in a sandstone reservoir (702556)
Hao Wu, Virginia Polytechnic Institute and State University, Department of Geosciences, Blacksburg, VA, United States, Hari Selvi Viswanathan, Los Alamos National Laboratory, Los Alamos, NM, United States, Nicholas Lubbers, Boston University, Department of Physics, Boston, MA, United States; Los Alamos National Laboratory, Center for Nonlinear Studies, Physics and Chemistry of Materials Group, Los Alamos, NM, United States and Ryan M Pollyea, Virginia Polytechnic Institute and State University, Geoscience, Blacksburg, VA, United States
17:38
H048-03
A Deep-learning-based Surrogate Model for Data Assimilation in Geologic Carbon Storage (738047)
Hewei Tang, Pengcheng Fu, Christopher Scott Sherman, Xin Ju and Hui Wu, Lawrence Livermore National Laboratory, Livermore, CA, United States
17:42
H048-04
Development of a software platform for machine learning-accelerated decision support in reservoir engineering (746439)
Catherine Yonkofski, Pacific Northwest National Laboratory, Seattle, United States, Alex Hanna, Clemson University, Clemson, SC, United States and Casie L Davidson, Pacific Northwest National Lab, Richland, WA, United States
17:46
H048-05
Machine Learning of Hydrogeochemical Processes along the Columbia River Corridor (757351)
Zhangshuan Hou1, Huiying Ren1, Xuehang Song1, Yilin Fang2, Evan Arntzen3, William A Perkins1 and Timothy D Scheibe1, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Battelle, Pacific Northwest National Laboratory, Richland, WA, United States, (3)Pacific Northwest National Lab, Richland, WA, United States
17:50
H048-06
Development of Fast Machine Learning-based Proxy Models for Subsurface Carbon Storage: A Comprehensive Study of the Versatility of Standard Algorithms (754757)
Omotayo Omosebi and Curtis M Oldenburg, Lawrence Berkeley National Laboratory, Energy Geosciences Division, Berkeley, CA, United States
17:54
H048-07
A CNN-RNN based machine learning model for carbon storage management (771053)
Chung Yan Shih, National Energy Technology Laboratory Pittsburgh, Pittsburgh, PA, United States and Xiongjun Wu, National Energy Technology Laboratory, Morgantown, WV, United States
17:58
H048-08
Evaluation of Time-step Frequency on Prediction Accuracy Applied to Deep Learning Neural Network Surrogate Models for CO2 Storage (776356)
Derek Vikara1, Donald Remson2, Luciane Cunha2 and Yash Kumar3, (1)KeyLogic Systems, LLC - Contractor to the National Energy Technology Laboratory, Pittsburgh, PA, United States, (2)National Energy Technology Laboratory Pittsburgh, Systems Engineering and Analysis, Pittsburgh, United States, (3)KeyLogic Systems, LLC - Contractor to the National Energy Technology Laboratory, Pittsburgh, United States
18:02
Discussion and Concluding Remarks
See more of: Hydrology
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