H33C:
Uncertainty Quantification and Reduction in Hydrogeological Forecasting and Inversion I Posters

Wednesday, 17 December 2014: 1:40 PM-6:00 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:

807
 
Implementation of Similarity Based Kriging in Open Source Software and Application to Uncertainty Quantification and Reduction in Hydrogeological Inversion
Robert Komara and David Ginsbourger, University of Bern, Bern, Switzerland
808
 
Ensemble Kalman Filter (EnKF) Used to Estimate the Multiphase Model Parameters for DNAPL Infiltration Experiments in Heterogeneous Porous Media
Xiaoqing Shi, Fei Zheng, Hongxia Xu, Yuanyuan Sun and Jichun Wu, School of Earth Sciences and Engineering, Nanjing University, Nanjing, China, Nanjing, China
809
 
Efficient Probabilistic Inversion of Airborne Electromagnetic Data Under Spatial Constraints
Juerg R Hauser1, James Gunning2 and David Annetts1, (1)CSIRO, Mineral Resources Flagship, Perth, Australia, (2)CSIRO, Energy Flagship, Melbourne, Australia
810
 
Fast parameter and state estimation with the Spectral Kalman Filter: an application for CO2 injection in heterogeneous domains
Hojat Ghorbanidehno1, Amalia Kokkinaki2, Eric F Darve1 and Peter K Kitanidis2, (1)Stanford University, Mechanical Engineering, Stanford, CA, United States, (2)Stanford, Civil and Environmental Engineering, Stanford, CA, United States
811
 
A Simple Example of a Bayesian Uncertainty Estimate in Image Processing
Bruce R Barkstrom, Retired, Washington, DC, United States
812
 
Stochastic Representation and Uncertainty Assessment of a Deep Geothermal Reservoir Using Cross-Borehole ERT: A 3D Synthetic Case
Patrick Brunet and Erwan Gloaguen, Institut National de la Recherche Scientifique-Eau Terre Environnement INRS-ETE, Quebec City, QC, Canada
813
 
Validating Prior Geological Scenario Uncertainty with Geophysical Data
Celine Scheidt, Cheolkyun Jeong, Tapan Mukerji and Jef Caers, Stanford Earth Sciences, Stanford, CA, United States
814
 
Direct Forecasting of Subsurface Flow Response from Non-Linear Dynamic Data By Linear Least-Squares in Canonical Functional Principal Component Space.
Aaditya Satija and Jef Caers, Stanford University, Stanford, CA, United States
815
 
Representation and Modeling of Structural Uncertainty in Subsurface Systems by Means of Image Operations in Depositional Space
Orhun Aydin and Jef Caers, Stanford Earth Sciences, Stanford, CA, United States
816
 
Influence of Different Conceptual Models on Contaminant Transport Uncertainty in Braided River Aquifers, Using Data from Analog Sites
Guillaume Pirot1, Emanuel Huber2, Dimitri Migraine1, Peter Huggenberger2, Philippe Renard1 and Julien Straubhaar1, (1)University of Neuchâtel, Centre of Hydrogeology and Geothermics, Neuchâtel, Switzerland, (2)University of Basel, Basel, Switzerland
817
 
Machine Learning Approaches to Rare Events Sampling and Estimation
Ahmed H. Elsheikh, Heriot-Watt University, Edinburgh, EH14, United Kingdom
818
 
Quantifying Groundwater Recharge Uncertainty: A Multiple-Model Framework and Case Study
Colin Kikuchi, University of Arizona, Tucson, AZ, United States and Ty P.A. Ferré, University of Arizona, Department of Hydrology and Water Resources, Tucson, AZ, United States
819
 
Constraining 3D Process Sedimentological Models to Geophysical Data Using Image Quilting
Pejman Tahmasebi1, Andrea Da Pra2, Marco Pontiggia2 and Jef Caers3, (1)Stanford University, Stanford, CA, United States, (2)ENI, San Donato Milanese 20097, Italy, (3)Stanford Earth Sciences, Stanford, CA, United States
820
 
Direct Estimation of Hydraulic Conductivity Field for Density Driven Flow Problem
Mohamed Nassar, University of California Davis, Davis, CA, United States and Timothy R Ginn, Univ California Davis, Davis, CA, United States
821
 
Effect of uncertainty of low permeable unit hydraulic parameters on prediction of long term contaminant transport.
Sergey P Pozdniakov1, Vladimir A. Lekhov1 and Veronika A. Bakshevskaia2, (1)Moscow State University, Moscow, Russia, (2)Water Problems Institute, Russian Academy of Sciences, Moscow, Russia
822
 
A method to assess the ranking importance of uncertainties of residual and dissolution trapping of CO2 on a large-scale storage site
Pascal Audigane, Jeremy Rohmer and Jean-Charles Manceau, BRGM, Orleans, France
823
 
Large-scale characterization of geologic formations for CO2 injection using Compressed State Kalman Filter
Amalia Kokkinaki1, Judith Yue Li1, Quanlin Zhou2, Jens T Birkholzer2 and Peter K Kitanidis1, (1)Stanford, Civil and Environmental Engineering, Stanford, CA, United States, (2)Lawrence Berkeley National Laboratory, Earth Sciences, Berkeley, CA, United States
824
 
Detection of Watershed Non-stationarity from Process-Based Model Evaluation using Approximate Bayesian Computation
Mojtaba Sadegh and Jasper A Vrugt, University of California Irvine, Irvine, CA, United States
825
 
Hydraulic Inversion of River Depth and Discharge from Observations of Surface Currents and Water Surface Elevation
Julian Simeonov, K. Todd Holland and Joseph Calantoni, Naval Research Laboratory, Stennis Space Center, MS, United States
826
 
Identifying Training Images from Fracture Outcrops for MPS-based Modeling
Ankur Roy, Tapan Mukerji and Jef Caers, Stanford Earth Sciences, Stanford, CA, United States
827
 
Distances Between 3D Models Based on Topological Characterization of Reservoir Rocks: Application to CO2 Storage in Fluvial Reservoirs
Sophie Viseur1, Christophe Chiaberge2, Jeremy Rohmer2 and Pascal Audigane2, (1)CEREGE, Aix-en-Provence Cedex, France, (2)BRGM, Orleans, France
828
 
Assessing and accounting for the effects of model error in Bayesian solutions to hydrogeophysical inverse problems
Corinna Koepke, James Irving and Delphine Roubinet, University of Lausanne, Lausanne, Switzerland
829
 
The Null Space Monte Carlo Uncertainty Analysis of Heterogeneity for Preferential Flow Simulation
Mehdi Ghasemizade1,2, Dirk Radny3 and Mario Schirmer2, (1)EAWAG Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland, (2)University of Neuchâtel, Centre for Hydrogeology and Geothermics, Neuchâtel, Switzerland, (3)EAWAG Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland
830
 
Application of an Optimal Search Strategy for the DNAPL Source Identification to a Field Site in Nanjing, China
Mo Longting, Shujun Ye and Jichun Wu, Nanjing University, Nanjing, China
831
 
Similarity Based Kriging: A dimension-free approach for prediction and adaptive experimental design
David Ginsbourger and Robert Komara, University of Bern, Bern, Switzerland
832
 
Efficient Calibration of Categorical Parameter Distributions using Subspace Methods
Prashanth Khambhammettu, S.S. Papadopulos and Associates, Inc. Bethesda, Bethesda, MD, United States, Philippe Renard, University of Neuchâtel, Centre of Hydrogeology and Geothermics, Neuchâtel, Switzerland and John Doherty, Watermark Numerical Computing, Brisbane, Australia
833
 
Model selection using multivariate functional data analysis for fast uncertainty quantification in subsurface reservoir forecasting
Ognjen Grujic, Stanford University, Stanford, CA, United States and Jef Caers, Stanford Earth Sciences, Stanford, CA, United States
834
 
Investigating the Effect of Hydraulic Data and Heterogeneity on Stochastic Inversion of a Physically Based Groundwater Model
Dongdong Wang, University of Wyoming, Laramie, WY, United States; University of North Carolina at Chapel Hill, Geological Sciences, Chapel Hill, NC, United States and Ye Zhang, Univ of Wyoming, Laramie, WY, United States
835
 
Large-scale hydrological model prediction uncertainties estimated from an ensemble of hydrostratigraphic models based on resistivity and borehole data
Pernille Aabye Marker1, Ty P.A. Ferré2, Nikolaj Foged3, Anders Vest Christiansen3, Esben Auken3, Klaus Mosegaard4 and Peter Bauer-Gottwein1, (1)Technical University of Denmark, Department of Environmental Engineering, Lyngby, Denmark, (2)University of Arizona, Tucson, AZ, United States, (3)Aarhus University, Department of Geoscience, Aarhus, Denmark, (4)Niels Bohr Institute - University of Copenhagen, Copenhagen, Denmark
836
 
A Local-Global Pattern Matching Approach for Dynamic Data Integration
Liangping Li1, Sanjay Srinivasan1, Haiyan Zhou2 and Jaime Gómez-Hernández3, (1)University of Texas at Austin, Austin, TX, United States, (2)Univ of Texas at Austin, Austin, TX, United States, (3)Polytechnic University of Valencia, Valencia, Spain
837
 
How to Construct a Prior Probability Distribution From a Training Image?
Knud Skou Cordua, Thomas Mejer Hansen and Klaus Mosegaard, Niels Bohr Institute - University of Copenhagen, Copenhagen, Denmark
838
 
Physical-Based Inversion for Subsurface Flow and Transport Modeling
Ye Zhang, Univ of Wyoming, Laramie, WY, United States, Jianying Jiao, University of Wyoming, Laramie, WY, United States, Dongdong Wang, University of North Carolina at Chapel Hill, Geological Sciences, Chapel Hill, NC, United States and Juraj Irsa, Schlumberger, Houston, TX, United States
839
 
A Bayesian Chance-Constrained Method for Hydraulic Barrier Design Under Model Structure Uncertainty
Nima Chitsazan, Hai V Pham and Frank T-C Tsai, Louisiana State University, Baton Rouge, LA, United States
840
 
Group Sparsity Regularization for Calibration of SubsurfaceFlow Models under Geologic Uncertainty
Azarang Golmohammadi and Behnam Jafarpour, University of Southern California, Los Angeles, CA, United States
 
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