Southeastern Section - 74th Annual Meeting - 2025

Paper No. 35-4
Presentation Time: 11:15 AM

PARAMETRIC ANALYSIS OF CO2-MINERALIZATION POTENTIAL OF SILICATE MINERALS FOR OPTIMIZING CARBONATION EFFICIENCY UNDER IN-SITU AND EX-SITU CONDITIONS


CHANDA, Piyali, PhD, Virginia Center for Coal and Energy Research, Virginia Polytechnic Institute and State University, 360 Holden Hall, Virginia Tech, 445 Old Turner St, BLACKSBURG, VA 24061 and POLLYEA, Ryan M., Department of Geosciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061

As greenhouse gas emissions continue accelerating global warming, innovative and long-term solutions are urgently needed to ensure our planet's sustainability. Carbon capture, utilization, and storage (CCUS) technologies have emerged as critical tools for curbing emissions and achieving net-zero carbon goals by 2050. While conventional CCUS focuses on injecting CO₂-rich brine into saline aquifers, CO₂ mineralization in mafic rocks presents an effective and permanent alternative. By harnessing the natural reactivity of Ca, Mg, and Fe-rich minerals in CO₂-rich fluids, this approach locks carbon into solid carbonates, providing a durable and scalable solution for carbon storage.

This study explores the effects of depth (pressure-temperature), CO₂ fugacity (pCO₂), and reactive surface area (SA) as a function of fracture surface roughness on mineral carbonation potential in mafic ore deposits using the reactive-transport modeling. Using a 1 m³ mixed-flow batch reactor model with a single mineral and parallel-plate fractures, we simulated mineral dissolution (forsterite, diopside, or anorthite) under kinetic constraints and precipitation of magnesite and/or calcite under local equilibrium. For each mineral, we ran 1100 scenarios for 1000 years with unique combinations of depths (P-T), pCO₂, and SA, representing surface and deep conditions.

Response surface analysis of carbonation potential (αmineral = g CO₂ mineralized/g initial silicate) showed that at surface conditions, αmineral is more sensitive to SA than pCO₂. However, with depth, the sensitivity of αmineral on pCO2 increases. Thus, under subcritical pCO2 conditions (< 500 m depth), the most fractured mafic rock shows the highest αmineral. Increasing depth enhances αmineral due to higher CO₂ solubility, promoting more silicate dissolution and carbonate precipitation. Comparison between minerals showed αForsterite > αDiopside > αAnorthite, with forsterite driving the initial rapid carbonation in a complex rock, while diopside and anorthite continue to mineralize slowly for a prolonged period, providing a long-term CO2 storage solution. These findings support building predictive frameworks for selecting optimal feedstocks and maximizing CO₂ mineralization in mafic ore bodies and mine tailings.