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

Session ID#: 2156

Wednesday, 17 December 2014: 1:40 PM-6:00 PM
Not an Option (Moscone West)
Chairs:  Niklas Linde, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland and Philippe Renard, University of Neuchâtel, Centre of Hydrogeology and Geothermics, Neuchâtel, Switzerland
Primary Convener:  Souheil M Ezzedine, Univ California LLNL, Livermore, United States
Co-conveners:  Niklas Linde, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland, Philippe Renard, University of Neuchâtel, Centre for Hydrogeology and Geothermics, Neuchâtel, Switzerland and Daniel M Tartakovsky, Stanford University, Energy Science and Engineering, Stanford, United States
OSPA Liaison:  Niklas Linde, University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • MR - Mineral and Rock Physics
  • NG - Nonlinear Geophysics
Index Terms:

1816 Estimation and forecasting [HYDROLOGY]
1846 Model calibration [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1869 Stochastic hydrology [HYDROLOGY]
Virtual Option?: No
Swirl Theme: Characterizing Uncertainty

Abstracts Submitted to this Session:

 
H33C-0807
Implementation of Similarity Based Kriging in Open Source Software and Application to Uncertainty Quantification and Reduction in Hydrogeological Inversion (4159)
Robert Komara and David Ginsbourger, University of Bern, Bern, Switzerland
 
H33C-0808
Ensemble Kalman Filter (EnKF) Used to Estimate the Multiphase Model Parameters for DNAPL Infiltration Experiments in Heterogeneous Porous Media (7197)
Xiaoqing Shi, Fei Zheng, Hongxia Xu, Yuanyuan Sun and Jichun Wu, School of Earth Sciences and Engineering, Nanjing University, Nanjing, China, Nanjing, China
 
H33C-0810
Fast parameter and state estimation with the Spectral Kalman Filter: an application for CO2 injection in heterogeneous domains (26931)
Hojat Ghorbanidehno1, Amalia Kokkinaki2, Eric F Darve1 and Peter K Kitanidis3, (1)Stanford University, Mechanical Engineering, Stanford, CA, United States, (2)Stanford, Civil and Environmental Engineering, Stanford, United States, (3)Stanford, Civil and Environmental Engineering, Stanford, CA, United States
 
H33C-0811
A Simple Example of a Bayesian Uncertainty Estimate in Image Processing (9465)
Bruce R Barkstrom, Retired, Washington, DC, United States
 
H33C-0813
Validating Prior Geological Scenario Uncertainty with Geophysical Data (9593)
Celine Scheidt, Cheolkyun Jeong, Tapan Mukerji and Jef Caers, Stanford Earth Sciences, Stanford, CA, United States
 
H33C-0814
Direct Forecasting of Subsurface Flow Response from Non-Linear Dynamic Data By Linear Least-Squares in Canonical Functional Principal Component Space. (10890)
Aaditya Satija, Stanford University, Stanford, CA, United States and Jef Caers, Stanford University, Earth and Planetary Sciences, Stanford, United States
 
H33C-0815
Representation and Modeling of Structural Uncertainty in Subsurface Systems by Means of Image Operations in Depositional Space (11916)
Orhun Aydin and Jef Caers, Stanford Earth Sciences, Stanford, CA, United States
 
H33C-0816
Influence of Different Conceptual Models on Contaminant Transport Uncertainty in Braided River Aquifers, Using Data from Analog Sites (12174)
Guillaume Pirot1, Emanuel Huber2, Dimitri Migraine1, Peter Huggenberger2, Philippe Renard1 and Straubhaar Julien1, (1)University of Neuchâtel, Centre of Hydrogeology and Geothermics, Neuchâtel, Switzerland, (2)University of Basel, Basel, Switzerland
 
H33C-0818
Quantifying Groundwater Recharge Uncertainty: A Multiple-Model Framework and Case Study (13140)
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
 
H33C-0820
Direct Estimation of Hydraulic Conductivity Field for Density Driven Flow Problem (13954)
Mohamed Nassar, University of California Davis, Davis, CA, United States and Timothy R Ginn, Washington State University, Department of Civil and Environmental Engineering, Pullman, United States
 
H33C-0821
Effect of uncertainty of low permeable unit hydraulic parameters on prediction of long term contaminant transport. (15164)
Sergey P Pozdniakov1, Vladimir Lekhov1 and Veronika A. Bakshevskaia2, (1)Moscow State University, Moscow, Russia, (2)Water Problems Institute, Russian Academy of Sciences, Moscow, Russia
 
H33C-0822
A method to assess the ranking importance of uncertainties of residual and dissolution trapping of CO2 on a large-scale storage site (15252)
Pascal Audigane1, Jeremy Rohmer2 and Jean-Charles Manceau1, (1)BRGM, Orleans, France, (2)BRGM, Orléans, France
 
H33C-0823
Large-scale characterization of geologic formations for CO2 injection using Compressed State Kalman Filter (16946)
Amalia Kokkinaki1, Judith Yue Li2, Quanlin Zhou3, Jens T Birkholzer3 and Peter K Kitanidis2, (1)Stanford, Civil and Environmental Engineering, Stanford, United States, (2)Stanford, Civil and Environmental Engineering, Stanford, CA, United States, (3)Lawrence Berkeley National Laboratory, Energy Geosciences Division, Berkeley, CA, United States
 
H33C-0824
Detection of Watershed Non-stationarity from Process-Based Model Evaluation using Approximate Bayesian Computation (17438)
Mojtaba Sadegh, Boise State University, Department of Civil Engineering, Boise, ID, United States and Jasper A Vrugt, University of California Irvine, Irvine, CA, United States
 
H33C-0826
Identifying Training Images from Fracture Outcrops for MPS-based Modeling (17811)
Ankur Roy, Tapan Mukerji and Jef Caers, Stanford Earth Sciences, Stanford, CA, United States
 
H33C-0827
Distances Between 3D Models Based on Topological Characterization of Reservoir Rocks: Application to CO2 Storage in Fluvial Reservoirs (20818)
Sophie Viseur1, Christophe Chiaberge2, Jeremy Rohmer3 and Pascal Audigane2, (1)CEREGE, Aix-en-Provence Cedex, France, (2)BRGM, Orleans, France, (3)BRGM, Orléans, France
 
H33C-0828
Assessing and accounting for the effects of model error in Bayesian solutions to hydrogeophysical inverse problems (21275)
Corinna Koepke1, James Irving2 and Delphine Roubinet1, (1)University of Lausanne, Lausanne, Switzerland, (2)University of Lausanne, Institute of Earth Sciences, Lausanne, Switzerland
 
H33C-0829
The Null Space Monte Carlo Uncertainty Analysis of Heterogeneity for Preferential Flow Simulation (21639)
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
 
H33C-0830
Application of an Optimal Search Strategy for the DNAPL Source Identification to a Field Site in Nanjing, China (21918)
Mo Longting, Shujun Ye and Jichun Wu, Nanjing University, Nanjing, China
 
H33C-0831
Similarity Based Kriging: A dimension-free approach for prediction and adaptive experimental design (21952)
David Ginsbourger and Robert Komara, University of Bern, Bern, Switzerland
 
H33C-0832
Efficient Calibration of Categorical Parameter Distributions using Subspace Methods (22097)
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
 
H33C-0833
Model selection using multivariate functional data analysis for fast uncertainty quantification in subsurface reservoir forecasting (25541)
Ognjen Grujic, Stanford University, Stanford, CA, United States and Jef Caers, Stanford Earth Sciences, Stanford, CA, United States
 
H33C-0836
A Local-Global Pattern Matching Approach for Dynamic Data Integration (26365)
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
 
H33C-0837
How to Construct a Prior Probability Distribution From a Training Image? (28855)
Knud Skou Cordua, Thomas Mejer Hansen and Klaus Mosegaard, Niels Bohr Institute - University of Copenhagen, Copenhagen, Denmark
 
H33C-0838
Physical-Based Inversion for Subsurface Flow and Transport Modeling (31091)
Ye Zhang, Univ of Wyoming, Geology and Geophysics, 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
 
H33C-0839
A Bayesian Chance-Constrained Method for Hydraulic Barrier Design Under Model Structure Uncertainty (31359)
Nima Chitsazan1, Hai V Pham2 and Frank T-C Tsai2, (1)Louisiana State University, Baton Rouge, LA, United States, (2)Louisiana State University, Department of Civil and Environmental Engineering, Baton Rouge, LA, United States
 
H33C-0840
Group Sparsity Regularization for Calibration of SubsurfaceFlow Models under Geologic Uncertainty (31917)
Azarang Golmohammadi and Behnam Jafarpour, University of Southern California, Los Angeles, CA, United States
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