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Multiresolution Approach to Condition Categorical Multiple-Point Realizations to Dynamic Data With Iterative Ensemble Smoothing

2023-1-19, Lam, Dan-Thuy, Renard, Philippe, Kerrou, Jaouhar

A new methodology is presented for the conditioning of categorical multiple-point statistics (MPS) simulations to dynamic data with an iterative ensemble smoother (ES-MDA). The methodology relies on a novel multiresolution parameterization of the categorical MPS simulation. The ensemble of latent parameters is initially defined on the basis of the coarsest-resolution simulations of an ensemble of multiresolution MPS simulations. Because this ensemble is non-multi-Gaussian, additional steps prior to the computation of the first update are proposed. In particular, the parameters are updated at predefined locations at the coarsest scale and integrated as hard data to generate a new multiresolution MPS simulation. The performance of the methodology was assessed on a synthetic groundwater flow problem inspired from a real situation. The results illustrate that the method converges towards a set of final categorical realizations that are consistent with the initial categorical ensemble. The convergence is reliable in the sense that it is fully controlled by the integration of the ES-MDA update into the new conditional multiresolution MPS simulations. Thanks to a massively reduced number of parameters compared to the size of the categorical simulation, the identification of the geological structures during the data assimilation is particularly efficient for this example. The comparison between the estimated uncertainty and a reference estimate obtained with a Monte Carlo method shows that the uncertainty is not severely reduced during the assimilation as is often the case. The connectivity is successfully reproduced during the iterative procedure despite the rather large distance between the observation points.

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Collocated co-simulation using probability aggregation

2008, Mariethoz, Grégoire, Renard, Philippe, Froidevaux, Roland

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Can conditionning to transmissivity data worsen model predictions?

2007, Kerrou, Jaouhar, Hendricks Franssen, H.J., Renard, Philippe, Lunati, I

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Hydrogeochemical and hydrogeological investigation in the Akrotiri aquifer: identification of multiple salinisation processes and implementation criteria for monitoring networks; Proceedings of the 1st SWIM-SWICA meeting, September 2006.

2006, Milnes, Ellen, Meilhac, Caroline, Yeo, Drissa, Renard, Philippe, Hunkeler, Daniel, Schnegg, Pierre-andré, Bourret, François

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Author's reply - Discussion of "Approximate Discharge for Constant Heat Test with Recharging Boundary

2009, Renard, Philippe

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Editors' Message: the Hydrogeologist Time Capsule - archival video recordings of influential hydrogeologists

2008, Simmons, Craig T, Renard, Philippe

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Approximate discharge for constant head test with recharging boundary - Reply

2007, Renard, Philippe

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La fin des certitudes?

2008, Renard, Philippe

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The hydrogeological compiler. A step towards Groundwater Integrated Modeling

2007, Renard, Philippe, Alcolea, Andrés

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An assessment of the groundwater resources in the western margin of the Taoudenni basin, Mauritania

2007, Bertone, François, Renard, Philippe, Kerrou, Jaouhar, Moix, P., Perrochet, P, Chery, L., de Marsily, G.