H43S:
Uncertainty Quantification and Reduction in Hydrogeological Forecasting and Inversion II

Thursday, 18 December 2014: 1:40 PM-3:40 PM
Chairs:  Niklas Linde, University of Lausanne, Lausanne, Switzerland and Philippe Renard, University of Neuchâtel, Centre of Hydrogeology and Geothermics, Neuchâtel, Switzerland
Primary Conveners:  Souheil M Ezzedine, Univ California LLNL, Livermore, CA, United States
Co-conveners:  Niklas Linde, University of Lausanne, Lausanne, Switzerland, Philippe Renard, University of Neuchatel, Neuchatel, Switzerland and Daniel M Tartakovsky, Univ California San Diego, La Jolla, CA, United States
OSPA Liaisons:  Niklas Linde, University of Lausanne, Lausanne, Switzerland

Abstracts Submitted to this Session:

1:40 PM
H43S-01
 
Developing Training Image-Based Priors for Inversion of Subsurface Geophysical and Flow Data
Jef Caers, Stanford University, Stanford, CA, United States; Stanford Earth Sciences, Stanford, CA, United States
2:10 PM
H43S-02
 
Uncertainty in Training-Image Based Inversion of Hydraulic Head Data Constrained to ERT Data: Workflow and Case Study
Thomas Hermans, University of Liège, Liège, Belgium, Frederic Nguyen, University of Liège, Liege, Belgium and Jef Caers, Stanford Earth Sciences, Stanford, CA, United States
2:25 PM
H43S-03
 
Consistent integration of geo-information
Thomas Mejer Hansen and Knud Skou Cordua, Niels Bohr Institute - University of Copenhagen, Copenhagen, Denmark
2:40 PM
H43S-04
 
Uncertainty Quantification and Transdimensional Inversion
Malcolm Sambridge and Rhys Hawkins, Australian National University, Canberra, ACT, Australia
3:10 PM
H43S-05
 
Functional Error Models to Accelerate Nested Sampling
Laureline Josset, University of Lausanne, Lausanne, Switzerland, Ahmed H. Elsheikh, Heriot-Watt University, Edinburgh, EH14, United Kingdom, Vasily Demyanov, Heriot-Watt University, Edinburgh, United Kingdom and Ivan Lunati, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland
3:25 PM
H43S-06
 
Assimilating Hydraulic Conductivity Data Using Multiscale Training Images
Gregoire Mariethoz1, Kashif Mahmud2, Andy Baker1 and Ashish Sharma3, (1)University of New South Wales, Sydney, NSW, Australia, (2)Univ of New South Wales, INGLEBURN, Australia, (3)University of New South Wales, School of Civil and Environmental Engineering, Sydney, NSW, Australia
 
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