A review on multiscale computational studies for enhanced oil recovery using nanoparticles

TL;DR

This review summarizes recent computational studies on nanoparticle-assisted enhanced oil recovery, highlighting mechanisms, effectiveness, and the role of simulations in understanding nanoscale interactions in oil reservoirs.

Contribution

It provides an up-to-date overview of nanotechnology-based EOR mechanisms and emphasizes the importance of computational simulations for microscopic insights.

Findings

Nanoparticles improve oil recovery by altering wettability and reducing interfacial tension.

Computational simulations are effective for studying nanoscale interactions in EOR.

Different nanoparticles show varying levels of effectiveness depending on operational conditions.

Abstract

Oil reservoirs around the globe are at their declining phase and in spite of enormous effectiveness of Enhanced Oil Recovery(EOR) in the Tertiary Stage. This process still bypasses some oil reason being surface forces responsible for holding oil inside the rock surface which are not being altered by the application of existing technologies. The processes coming under Tertiary Section Supplements primary and secondary sections. However, the mechanism of operating is different in both. Nanoparticles are showing a significant role in EOR techniques and is a promising approach to increase crude oil extraction. This is due to the fact that size of nanoparticles used for EOR lies in the range of 1-100 nm. It is also an interesting fact that in different operational conditions and parameters, the performance of nanoparticles also vary and some are more effective than others, which leads to various levels of recovery in the EOR process. In the present study, we intend to summarize a report having an up to date status on nanotechnology assisted EOR mechanisms where nanoparticles are used as nano-catalysts, nano-emulsions and nanoparticles assisted EOR mechanisms to destabilize the oil layer on carbonate surface. This review also highlights the various mechanisms such Gibb's free energy, wettability alteration, and Interfacial Tension Reduction (ITR) including interaction of available nanoparticles with reservoirs. Experimental measurements for a wide range of nanoparticles are not only expensive but are challenging because of the relatively small size, especially for the measurements of thinner capillaries of a nanoscale diameter. Therefore, we considered computational simulations as a more adequate approach to gain more microscopic insights into the oil displacement process to classify the suitability of nanomaterials.