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Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
Published on: February 21, 2017
Dynamic Pore-scale Reservoir-condition Imaging of Reaction in Carbonates Using Synchrotron Fast Tomography
Hannah P Menke1, Matthew G Andrew2, Joan Vila-Comamala3
1Department of Earth Science and Engineering, Imperial College London; h.menke12@imperial.ac.uk.
Carbon capture storage in carbonate reservoirs is threatened by CO2 dissolution. Time-resolved experiments using synchrotron fast tomography reveal dissolution rates and pore-scale changes, crucial for storage permanence.
Area of Science:
- Geochemistry and Petroleum Engineering
- Carbon Capture, Utilization, and Storage (CCUS)
Background:
- Underground storage permanence for carbon capture and storage (CCS) is critical.
- CO2 injection into carbonate reservoirs risks dissolving geologic seals, leading to leakage.
- Dissolution processes under reservoir conditions remain poorly understood.
Purpose of the Study:
- To investigate the pore-scale dissolution of limestone by CO2-saturated brine.
- To observe and predict the nature and rate of dissolution at reservoir conditions.
- To assess the impact of dissolution on porosity and permeability over time.
Main Methods:
- Utilized synchrotron fast tomography (Diamond Lightsource Pink Beam) for time-resolved imaging.
- Dynamically imaged limestone dissolution in the presence of CO2-saturated brine at reservoir conditions.
- Acquired 100 scans at 6.1 µm resolution over 2 hours; analyzed porosity and permeability via image analysis and network extraction.
Main Results:
- Observed uniform increase in porosity along the sample length.
- Measured a decrease in the rate of porosity and permeability increase over time.
- Provided dynamic, pore-scale insights into CO2-limestone interactions.
Conclusions:
- Synchrotron fast tomography enables effective visualization of dynamic dissolution processes.
- Dissolution rates slow down over time, influencing long-term storage security.
- Findings are crucial for predicting and ensuring the permanence of underground CO2 storage.
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