H129
Advances in Data Integration, Inverse Methods, and Applications of Machine Learning in Hydrogeophysics I

Friday, 11 December 2020: 19:00-20:00
Virtual
Primary Convener:  Erasmus K. Oware, University at Buffalo, Department of Geology, Buffalo, NY, United States
Conveners:  Michael A Cardiff, University of Wisconsin-Madison, Madison, WI, United States, Niels Grobbe, Delft University of Technology, Delft, Netherlands and Arnaud Watlet, British Geological Survey, Nottingham, United Kingdom
Primary Liaison:  Erasmus K. Oware, University at Buffalo, Department of Geology, Buffalo, NY, United States
Chairs:  Michael A Cardiff, University of Wisconsin-Madison, Madison, WI, United States and Erasmus K. Oware, University at Buffalo, Department of Geology, Buffalo, NY, United States
OSPA Liaison:  Arnaud Watlet, British Geological Survey, Nottingham, United Kingdom
19:00
H129-01
A model-constraining objective functional for geophysical joint inversion based on logistic function types (770662)
Michael Commer1, David Alumbaugh2, Pierpaolo Marchesini3 and Evan S Um2, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Lawrence Berkeley National Laboratory, Berkeley, United States, (3)Lawrence Berkeley National Laboratory, Earth & Environmental Sciences, Berkeley, CA, United States
19:04
H129-02
Incorporating Prior Information In Time-Lapse ERT Inversions Using Conditional Regularization Constraints 744753 (Invited) (744753)
Tim C Johnson, Pacific Northwest National Laboratory, Richland, WA, United States
19:08
H129-03
Inversion of Three-Dimensional Discrete Fracture Networks Using Hydraulic Tomography (692024)
Lisa Maria Ringel, MLU Halle-Wittenberg, Applied Geology, Institute of Geosciences and Geography, Halle, Germany, Mohammadreza Jalali, RWTH Aachen University, Department of Engineering Geology and Hydrogeology, Aachen, Germany and Peter Bayer, Martin Luther University of Halle-Wittenberg, Applied Geology, Institute of Geosciences and Geography, Halle, Germany
19:12
H129-04
Aquifer structure at the catchment scale inferred from a geostatical analysis of seismic refraction data (672432)
Nolwenn Lesparre1, Sylvain Pasquet2 and Philippe Ackerer1, (1)LHyGeS-UMR7517, EOST, INSU/CNRS, Strasbourg, France, (2)Institut de Physique du Globe de Paris, Paris, France
19:16
H129-06
Extracting Hydrofacies Patterns from a Real Time-lapse Electrical Resistivity Dataset Using Time Series Clustering Approaches (700342)
Damien Delforge1, Arnaud Watlet2, Olivier Kaufmann3, Marnik Vanclooster1 and Michel J. Van Camp4, (1)Université Catholique de Louvain, Earth & Life Institute, Louvain-La-Neuve, Belgium, (2)British Geological Survey, Nottingham, United Kingdom, (3)University of Mons, Geology and Applied Geology Unit, Mons, Belgium, (4)Royal Observatory of Belgium, Brussels, Belgium
19:20
H129-07
Uncertainty assessment of hydrogeological structures combining geophysical survey and geological knowledge: A stochastic level set optimization framework (683447)
Lijing Wang, Stanford University, Stanford, CA, United States, Luk JM Peeters, CSIRO, Land and Water, Adelaide, SA, Australia and Jef Caers, Stanford University, Department of Geological Sciences, Stanford, CA, United States
19:24
H129-08
Towards solving inverse problems with deep vector-to-image domain transfer networks (Invited) (666928)
Eric Laloy, Belgian Nuclear Research Centre (SCK-CEN), Mol, Belgium and Niklas Linde, University of Lausanne, Lausanne, Switzerland
19:28
Discussion and Concluding Remarks
See more of: Hydrology
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