Numerical study on the prediction of oil recovery rates in unconventional reservoirs at high temperatures using ecologically friendly hybrid nanofluids.

Although oil extraction is indispensable for meeting worldwide energy demands and ensuring industrial sustainability, various hazards are observed. Therefore, this study examined the chemical oil recovery-related environmental consequences concerning water, soil, ecosystem, and human health damages. A numerical analysis explored the mathematical model for oil extraction from unconventional sources by utilising 3D porous prism geometries under high-temperature conditions. This unique methodology utilised environmentally friendly TiO-SiO hybrid nanoparticles, which were not previously investigated. The optimal conditions for oil extraction were then determined by simulations performed at 100 °C, 150 °C, and 200 °C for 2 h, 4 h, 8 h, and 12 h. This study also explored the optimisation of recovery rates by analysing several variables using ANSYS Fluent software, such as flow rate, porosity, and volume fraction. Consequently, these green TiO-SiO nanoparticles presented an oil recovery rate that was 28 % and 6 % higher than water-flooding and conventional monofluid injection techniques, respectively. This outcome suggested that these TiO-SiO nanoparticles could enhance efficiency and minimise environmental damage.