Literature DB >> 25738415

Dynamic three-dimensional pore-scale imaging of reaction in a carbonate at reservoir conditions.

Hannah P Menke1, Branko Bijeljic1, Matthew G Andrew1, Martin J Blunt1.   

Abstract

Quantifying CO2 transport and average effective reaction rates in the subsurface is essential to assess the risks associated with underground carbon capture and storage. We use X-ray microtomography to investigate dynamic pore structure evolution in situ at temperatures and pressures representative of underground reservoirs and aquifers. A 4 mm diameter Ketton carbonate core is injected with CO2-saturated brine at 50 °C and 10 MPa while tomographic images are taken at 15 min intervals with a 3.8 μm spatial resolution over a period of 2(1/2) h. An approximate doubling of porosity with only a 3.6% increase in surface area to volume ratio is measured from the images. Pore-scale direct simulation and network modeling on the images quantify an order of magnitude increase in permeability and an appreciable alteration of the velocity field. We study the uniform reaction regime, with dissolution throughout the core. However, at the pore scale, we see variations in the degree of dissolution with an overall reaction rate which is approximately 14 times lower than estimated from batch measurements. This work implies that in heterogeneous rocks, pore-scale transport of reactants limits dissolution and can reduce the average effective reaction rate by an order of magnitude.

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Year:  2015        PMID: 25738415     DOI: 10.1021/es505789f

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  8 in total

1.  Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography.

Authors:  Hannah P Menke; Matthew G Andrew; Joan Vila-Comamala; Christoph Rau; Martin J Blunt; Branko Bijeljic
Journal:  J Vis Exp       Date:  2017-02-21       Impact factor: 1.355

2.  Pore-Scale Hydrodynamics in a Progressively Bioclogged Three-Dimensional Porous Medium: 3-D Particle Tracking Experiments and Stochastic Transport Modeling.

Authors:  M Carrel; V L Morales; M Dentz; N Derlon; E Morgenroth; M Holzner
Journal:  Water Resour Res       Date:  2018-03-24       Impact factor: 5.240

3.  Machine learning to predict effective reaction rates in 3D porous media from pore structural features.

Authors:  Min Liu; Beomjin Kwon; Peter K Kang
Journal:  Sci Rep       Date:  2022-03-31       Impact factor: 4.379

4.  The upper percolation threshold and porosity-permeability relationship in sandstone reservoirs using digital image analysis.

Authors:  Ryan L Payton; Domenico Chiarella; Andrew Kingdon
Journal:  Sci Rep       Date:  2022-07-04       Impact factor: 4.996

5.  Improved dynamic imaging of multiphase flow by constrained tomographic reconstruction.

Authors:  Henning Osholm Sørensen; Stefan Bruns; Anders Bjorholm Dahl; Peter Winkel Rasmussen; Anders Nymark Christensen
Journal:  Sci Rep       Date:  2021-06-14       Impact factor: 4.379

6.  The dynamic nature of crystal growth in pores.

Authors:  Jose R A Godinho; Kirill M Gerke; Andrew G Stack; Peter D Lee
Journal:  Sci Rep       Date:  2016-09-12       Impact factor: 4.379

7.  Quantifying Rock Weakening Due to Decreasing Calcite Mineral Content by Numerical Simulations.

Authors:  Maria Wetzel; Thomas Kempka; Michael Kühn
Journal:  Materials (Basel)       Date:  2018-04-01       Impact factor: 3.623

8.  Computed Tomography 3D Super-Resolution with Generative Adversarial Neural Networks: Implications on Unsaturated and Two-Phase Fluid Flow.

Authors:  Nick Janssens; Marijke Huysmans; Rudy Swennen
Journal:  Materials (Basel)       Date:  2020-03-19       Impact factor: 3.623

  8 in total

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