To
maintain economic profit and improve the oil production efficiency
after the primary and secondary production phase, advanced waterflooding
techniques such as low salinity waterflooding in carbonate reservoirs
have been investigated in numerical simulations, laboratory experiments,
and field pilot tests. Multiple underlying mechanisms have been proposed
based on these studies, and they are still under debate. Various numerical
modeling approaches are introduced, but there exists a lack of a pore-scale
comprehensive modeling scheme to fully understand the processes. Lattice-Boltzmann
method (LBM) is a type of numerical fluid flow modeling technique
that shows capabilities and flexibilities in modeling pore-scale fluid
flow to integrate physical–chemical processes within complex
structures. The intrinsic feature of LBM makes it a promising framework
for simulating advanced waterflooding due to its flexibility, accuracy,
and parallel efficiency. LBM works either by itself for solving reactive
transport problems or by coupling with a third-party reaction solver.
This review mainly introduces the LBM fluid flow and reactive transport
capabilities and the concept and modeling approaches to simulate advanced
waterflooding techniques. Meanwhile, an evaluation of the coupled
LBM models for enhanced oil recovery (EOR) simulations is discussed
with future research challenges and directions concluded.
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