Speaker
Description
Understanding and simulating mineral reactivity in porous media is challenging due to the complex fabric of natural porous media. Precise spatial characterization via advanced imaging can be used to assess mineral distributions, elemental composition, and mineral accessibility. These factors have been shown to be critical for reactive transport models accurate simulation of the interplay between mineral reactions, aqueous chemistry, and mass transport processes. This study explores the interplay between carbonate accessible surface area (ASA) and neighboring phases within porous media, with a focus on the reactive evolution of carbonate mineral ASA as dissolution progresses. A series of experiments is conducted to observe temporal variations in carbonate ASA using micro-CT X-ray imaging, with ethylenediaminetetraacetic acid (EDTA) as the reactive agent. The acquired images are processed using a convolutional neural network for segmentation, enabling the quantification of ASA changes along the sample length over time. Statistical analysis, incorporating a novel adjacency mapping technique, is employed to evaluate the probability and influence of phase interactions on mineral dissolution. This methodology offers a detailed perspective on the evolution of ASA and its interaction with surrounding phases, advancing the understanding of reactive processes in porous systems and enhancing reactive transport modeling frameworks.
| Country | United States |
|---|---|
| Water & Porous Media Focused Abstracts | This abstract is related to Water |
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