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Article Dans Une Revue Computational Geosciences Année : 2018

Analytical solution and Bayesian inference for interference pumping tests in fractal dual-porosity media

Résumé

A new analytical solution is developed for interference hydraulic pumping tests in fractured porous media using the dual-porosity concept. Heterogeneous fractured reservoirs are considered with hydrodynamic parameters assumed to follow power-law functions in radial distance. The developed analytical solution is verified by comparison against a finite volume numerical solution. The comparison shows that the numerical solution converges toward the analytical one when the size of the time step decreases. The applicability of the fractal dualporosity model is then assessed by investigating the identifiability of the parameters from a synthetic interference pumping test with a set of noisy data using Bayesian parameter inference. The results show that if the storage coefficient in the matrix is fixed, the rest of the parameters can be appropriately inferred, otherwise, the identification of the parameters is faced with convergence problems because of equifinality issues.
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hal-03527143 , version 1 (15-01-2022)

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Mohamed Hayek, Anis Younes, Jabran Zouali, Noura Fajraoui, Marwan Fahs. Analytical solution and Bayesian inference for interference pumping tests in fractal dual-porosity media. Computational Geosciences, 2018, 22 (1), pp.413-421. ⟨10.1007/s10596-017-9701-9⟩. ⟨hal-03527143⟩
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