Multimodal imaging and stochastic percolation simulation for improved quantification of effective porosity and surface area in vesicular basalt

• Published in: Advances in Water Resources
• Main Authors: Zahasky, Christopher, Thomas, Dana, Matter, Juerg, Maher, Kate, Benson, Sally M.
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2018
• Subjects: Iceland
• Online Access: https://eprints.soton.ac.uk/423824/; https://eprints.soton.ac.uk/423824/1/revised_zahasky_basalt_paper_A.pdf

Improved methods for predicting fluid transport and vesicle connectivity in heterogeneous basalts are critical for determining the long-term reaction and trapping behavior of sequestered carbon dioxide and maximizing the efficiency of geothermal energy production. In this study we measured vesicle geometry, pore connectivity, and vesicle surface area of three basalt cores from the CarbFix carbon storage project in Iceland using a combination of micro-computed tomography, clinical computed tomography, and micro-positron emission tomography. A vesicle percolation simulator was then constructed to quantify vesicle connectivity across a complete range of porosities, pore size distributions, and microporosity conditions. Percolation simulations that incorporate important geologic features such as microporosity are able to describe the trend of experimental measurements made in this study and in previous work, without relying on statistical or empirical techniques. Simulation results highlight and quantify the trade-off between storage capacity and reactive surface area in high porosity basalts. Experiment and simulation results also indicate that there is very limited connected pore space below total porosity values of 15%, guiding improved site selection for large scale CO 2 storage projects. Use of this stochastic percolation simulation method for basalt storage reservoir evaluation will enable more accurate storage capacity and mineral trapping estimates.