ThEOR2022 - Thermal Methods for Enhanced Oil Recovery: Laboratory Testing, Simulation and Oilfields Applications , Baku, Azerbaycan, 3 - 05 Kasım 2022, ss.42
The purpose of the work is to model the filtration processes in gas condensate and oil (including
volatile oil) reservoirs operated by production and injection wells of an arbitrary number on any
coordinates, on the basis of which the creation of a computer simulator for visualization and predicting
the process and evaluating the effectiveness of EOR and stimulation methods.
The solution was obtained on the basis of
streamline technology, taking into account
reservoir rock deformations, PVT properties of
reservoir fluids, multi-phase flow, mass transfer
between phases, etc. For this purpose, have been
used the previous results of the authors in the field
of the two-dimension filtration modeling of
complex hydrocarbon systems, such as gas
condensate mixture and volatile oils in deformable
reservoirs; material balance equations are applied
for the cases under consideration, on the basis of
which equations are obtained for determining
reservoir pressure and saturation of pores with
liquid phase at any point of the reservoir. It is also
used the algorithm of the authors to calculate influx
at a given bottom hole pressure or drawdown. The solution to the problem was obtained thanks to the
idea of the time discretization.
A computer simulator was created on the basis of the obtained mathematical model. It was tested
on examples of gas condensate and volatile oil reservoirs. The results confirmed the adequacy of the
obtained mathematical model, on the basis of which the simulator was developed. Figure 1 shows the
filtration process (pressure distribution) between the wells (the upper well is an injection well).
Studies have demonstrated the effectiveness of the obtained streamline-based solution. It has a
number of advantages over Finite-Difference Simulation: It requires fewer data and fewer computational
resources, hence it is easy and fast to implement; it is faster and works in real-time. The proposed
streamline-based solution can be used to predict the effectiveness of reservoir stimulation methods
including thermal stimulation. The results once again showed the wide possibilities of streamline
technology.