Abstract
Carbon storage in deep aquifers relies on permanent mineralisation of
carbon dioxide as solid carbonate mineral. As injected CO2
leaves the well and travels further into the aquifer it mixes with the
reservoir brine and initially becomes a low pH acid. However, as mixing
and dilution continues, the pH increases, and the carbonate species
become supersaturated and fall out of solution. This precipitation then
fills the pore space of the reservoir with permanently stored carbonate
mineral. The CO2 injection strategy must be designed so that
precipitation is favourable at long time scales far away from the
injection well, but not so fast that the major flow pathways through the
aquifer are clogged and expensive additional well-drilling is required.
The interplay between mixing, pore-space heterogeneity, particle
nucleation and transport, and crystal growth processes are poorly
understood. Here we use the combination of 3D-printed micromodels, light
microscopy, and pore-scale reactive transport models to investigate flow
and transport conditions favourable for calcium carbonate precipitation.
3D-printed micromodels have the benefit of being inexpensive to produce
with both high design fidelity and flexibility in design. In these
experiments we co-inject CaCl2 and NaHCO3 brines
into a 3D-printed micromodel and monitor precipitation using a visible
light camera. We vary flow rate, ion concentration, and pore-space
heterogeneity. We see that the local saturation index and the pore-space
heterogeneity play a key role in the location of precipitated particles.
Furthermore, we see considerable positive feedback between the focussing
of flow pathways and the growth of crystals in the pore throats. These
experimental results are then benchmarked with direct numerical
simulations. This work has extensive applications for the carbon storage
and enhanced oil recovery industries.
Original language | English |
---|---|
Publication status | Published - 13 Dec 2019 |
Event | AGU Fall Meeting 2019 - Moscone Centre, San Francisco, United States Duration: 9 Dec 2019 → 13 Dec 2019 |
Conference
Conference | AGU Fall Meeting 2019 |
---|---|
Country/Territory | United States |
City | San Francisco |
Period | 9/12/19 → 13/12/19 |
Keywords
- 1829 Groundwater hydrology
- HYDROLOGY
- 1835 Hydrogeophysics
- 1847 Modeling
- 1869 Stochastic hydrology