H036
Machine Learning Application in Understanding Heterogeneous Geological Media I Posters

Tuesday, 8 December 2020: 04:00-20:59
Poster
Primary Convener:  Pania Newell, University of Utah, Mechanical Engineering, Salt Lake City, UT, United States
Conveners:  Hari Selvi Viswanathan, Los Alamos National Laboratory, Los Alamos, NM, United States, Alexandre M Tartakovsky, Pacific Northwest National Laboratory, Richland, WA, United States and Alexander Y Sun, University of Texas at Austin, Austin, TX, United States
Primary Liaison:  Dan Lu, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Chairs:  Pania Newell, Sandia National Laboratories, Albuquerque, NM, United States and Hari Selvi Viswanathan, Los Alamos National Laboratory, Los Alamos, NM, United States
OSPA Liaison:  Dan Lu, Oak Ridge National Laboratory, Oak Ridge, TN, United States
 
Unsupervised and supervised data-driven techniques to characterize laboratory-scale mechanical discontinuity (Invited) (666219)
Siddharth Misra, Aditya Chakravarty and Rui Liu, Texas A&M University, College Station, TX, United States
 
Applying Convex Weighting Physics-Informed Neural Networks to Subsurface Modeling and Characterization Problems (681451)
Qizhi He and Alexandre M Tartakovsky, Pacific Northwest National Laboratory, Richland, WA, United States
 
Dimensionality Reduction and Physics-Informed Recurrent Neural Networks for Climate Land Models (762684)
Khachik Sargsyan, Sandia National Laboratories, Albuquerque, NM, United States, Cosmin Safta, Sandia National Laboratories, Livermore, CA, United States and Daniel M Ricciuto, Oak Ridge National Laboratory, Environmental Sciences Division and Climate Change Science Institute, Oak Ridge, TN, United States
 
Determination of Oil-Well Placement at a Petroleum Reservoir using Sequential Convolutional Neural Network Coupled with Robust Optimization under Geological Uncertainty (689528)
Seoyoon Kwon1, Baehyun MIN2, Jinhyung CHO3, Youngho Jang4, Min-gon Chu5 and Gayoung Park2, (1)Ewha Womans University, Department of Climate and Energy Systems Engineering, Seoul, Korea, Republic of (South), (2)Ewha Womans University, Department of Climate and Energy Systems Engineering, Seoul, South Korea, (3)Ewha Womans University, Seoul, Korea, Republic of (South), (4)Ewha Womans University, Center for Climate/Environment Change Prediction Research, Seoul, Korea, Republic of (South), (5)Korea National Oil Corporation, E&P Technology Center, Ulsan, South Korea
 
Multiscale networks for learning fluid flow through fractured permeable media (771436)
Javier E. Santos1, Ying Yin2, Nicolas Lubbers3, Masa Prodanovic4, Michael Pyrcz1, Hari Selvi Viswanathan5 and Qinjun Kang6, (1)University of Texas at Austin, Austin, TX, United States, (2)Xi'an Jiaotong University, Xian, China, (3)Los Alamos National Lab, Los Alamos, United States, (4)The University of Texas at Austin, Hildebrand Department of Petroleum and Geosystems Engineering, Austin, TX, United States, (5)Los Alamos National Laboratory, Los Alamos, NM, United States, (6)Los Alamos National Lab, Los Alamos, NM, United States
 
INTERPRETATION OF BOREHOLE STRAIN MEASUREMENTS USING SURROGATE MODELING-BASED OPTIMIZATION (771634)
Soheil Roudini1, Larry C Murdoch2, Scott DeWolf2 and Leonid N Germanovich3, (1)Clemson University, Environmental Engineering and Earth Science, Clemson, SC, United States, (2)Clemson University, Environmental Engineering and Earth Sciences, Clemson, SC, United States, (3)Georgia Tech, Atlanta, GA, United States
 
A Dynamic Deep Learning Model for Performance Prediction and Fault Detection in Geothermal Power Plants (765996)
Yingxiang Liu1, Wei Ling1, Robert Young1, Trenton T Cladouhos2, Jalal Zia2 and Behnam Jafarpour1, (1)University of Southern California, Los Angeles, CA, United States, (2)Cyrq Energy Inc., Salt Lake City, UT, United States
 
Interpreting Parameter Interactions using Global Sensitivity Analysis on a Hillslope-scale Reactive Transport Model (754904)
Zach Perzan, Stanford University, Stanford, CA, United States, Tristan Babey, Géosciences Rennes, UMR CNRS 6118 - Université Rennes 1, Rennes Cedex, France and Katharine Maher, Stanford-Geology & Env Science, Stanford, CA, United States
 
Regionalization of Hydraulic Conductivity in Porous Media Aquifers Using Genetic Algorithm (716213)
Ahmed Yosri and Sarah E Dickson, McMaster University, Hamilton, ON, Canada
See more of: Hydrology
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