Journal Article

FZJ-2022-01725

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A Lab on a Chip Experiment for Upscaling Diffusivity of Evolving Porous Media

Poonoosamy, J. (Corresponding author)FZJ* ; Lu, R. ; Lönartz, M. I.FZJ* ; Deissmann, G.FZJ* ; Bosbach, D.FZJ* ; Yang, Y.FZJ*

2022
MDPI Basel

This record in other databases:  

Please use a persistent id in citations: http://hdl.handle.net/2128/32482  doi:10.3390/en15062160

Abstract: Reactive transport modelling is a powerful tool to assess subsurface evolution in various energy-related applications. Upscaling, i.e., accounting for pore scale heterogeneities into larger scale analyses, remains one of the biggest challenges of reactive transport modelling. Pore scale simulations capturing the evolutions of the porous media over a wide range of Peclet and Damköhler number in combination with machine learning are foreseen as an efficient methodology for upscaling. However, the accuracy of these pore scale models needs to be tested against experiments. In this work, we developed a lab on a chip experiment with a novel micromodel design combined with operando confocal Raman spectroscopy, to monitor the evolution of porous media undergoing coupled mineral dissolution and precipitation processes due to diffusive reactive fluxes. The 3D-imaging of the porous media combined with pore scale modelling enabled the derivation of upscaled transport parameters. The chemical reaction tested involved the replacement of celestine by strontianite, whereby a net porosity increase is expected because of the smaller molar volume of strontianite. However, under our experimental conditions, the accessible porosity and consequently diffusivity decreased. We propose a transferability of the concepts behind the Verma and Pruess relationship to be applied to also describe changes of diffusivity for evolving porous media. Our results highlight the importance of calibrating pore scale models with quantitative experiments prior to simulations over a wide range of Peclet and Damköhler numbers of which results can be further used for the derivation of upscaled parameters.

---

Contributing Institute(s):

1. Nukleare Entsorgung (IEK-6)

Research Program(s):

1. 1411 - Nuclear Waste Disposal (POF4-141) (POF4-141)

Appears in the scientific report 2022

---

Database coverage:
; ; ; ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---