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

Authors :
Hayek, Mohamed
Younes, Anis
Zouali, Jabran
Fajraoui, Noura
Fahs, Marwan
Source :
Computational Geosciences. Feb2018, Vol. 22 Issue 1, p413-421. 9p.
Publication Year :
2018

Abstract

A new analytical solution is developed for interference hydraulic pumping tests in fractal 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 dual-porosity 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14200597
Volume :
22
Issue :
1
Database :
Academic Search Index
Journal :
Computational Geosciences
Publication Type :
Academic Journal
Accession number :
128019880
Full Text :
https://doi.org/10.1007/s10596-017-9701-9