31 May 2021 to 4 June 2021
Europe/Berlin timezone

RHEOLOGICAL RESPONSE OF FOAM FLOODING MODELS CONSIDERING EXPERIMENTAL UNCERTAINTIES

3 Jun 2021, 14:40
1h
Poster (+) Presentation (MS6-A) Physics of multi-phase flow in diverse porous media Poster +

Speaker

Andres Valdez (PhD candidate in computational modeling)

Description

In this work, we study uncertainties originating from foam flood models' responses concerning non-Newtonian behavior. This work presents how uncertainty affects foam rheology and analysis of Newtonian and non-Newtonian foam formulations. To this end, the Markov Chain Monte Carlo (MCMC) technique was used to estimate parameters for the different foam models. In addition, a global sensitivity analysis based on Sobol indices was also performed to determine which input parameter is more relevant to variations in the quantities of interest. The quantities of interest are apparent viscosity, mobility reduction factor, and total relative mobility, among others. Experimental data were obtained from the literature for the Bayesian parameter estimation of the STARS models. In particular, to focus on Newtonian and non-Newtonian behavior, we adopted the STARS model with its dry-out component and shear thinning function. The results indicate how much the choice of a specific model for foam flow (Newtonian or non-Newtonian) can be affected by uncertainties from estimated parameters.

Acknowledgements: The current work was conducted in association with the R&D project ANP nº 20715-9, "Modelagem matemática e computacional de injeção de espuma usada em recuperação avançada de petróleo" (UFJF/Shell Brazil/ANP). Shell Brazil funds it in accordance with ANP's R&D regulations under the Research, Development, and Innovation Investment Commitment. This project is carried out in partnership with Petrobras.

References

A. R. Valdez, B. M. Rocha, G. Chapiro, and R. W. dos Santos. Uncertainty quantification and sensitivity analysis for relative permeability models of two-phase flow in porous media. Journal of Petroleum Science and Engineering, 2020. doi: 10.1016/j.petrol.2020.107297

F. F. de Paula, T. Quinelato, I. Igreja, and G. Chapiro. A numerical algorithm to solve the two-phase flow in porous media including foam displacement. In Lecture Notes in Computer Science, volume 12143, pages 18–31. Springer, 2020. doi: 10.1007/978-3-030-50436-6_2

A. Valdez, B. Rocha, A. Pérez-Gramatges, J. Façanha, A. de Souza, G. Chapiro, and R. dos Santos. Foam assisted water-gas flow parameters: from core-flood experiment to uncertainty quantification and sensitivity analysis. Transport in Porous Media, 2021. doi: 10.1007/s11242-021-01550-0

L. F. Lozano, R. Q. Zavala, and G. Chapiro. Mathematical properties of the foam flow in porous media. Computational Geosciences, 25(1):515–527, 2021. doi: 10.1007/s10596-020-10020-3

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Primary authors

Andres Valdez (PhD candidate in computational modeling) Dr Bernardo Rocha (Professor) Dr Grigori Chapiro (Universidade Federal de Juiz de Fora) Dr Rodrigo Weber (Professor)

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