Page 191 - Primer on Enhanced Oil Recovery

EOR modeling
15

Abstract

Simulation of the reservoir includes a description of the physical properties of reservoirs
and fluids saturating them, consideration of the technological process for the productive
layer exploration, creation of reservoir mathematical model and the actual computer simu-
lation. All this allows one to predict the behavior of the reservoir and the oil extraction
under various operating conditions.

Chapter Outline

15.1 Geological modeling 182
15.2 Hydrodynamic modeling 187
15.3 Hydrodynamic modeling for EOR 188

Simulation of the reservoir includes a description of the physical properties of reser-
voirs and fluids saturating them, consideration of the technological process for the
productive layer exploration, creation of reservoir mathematical model and the
actual computer simulation. All this allows one to predict the behavior of the reser-
voir and the oil extraction under various operating conditions.
The need for reservoir modeling is justified by the need of oil companies for the
most accurate prediction of reservoir development indicators under various operat-
ing conditions.
Reservoir modeling is important not only in order to save time and accurately
forecast oil recovery, but also for a more in-depth understanding of the reservoir
structure and behavior. This includes the flow-filtration parameters, the filtration
properties of fluids and predicament of behavior ranges for these parameters during
the reservoir development process.
In the classical approach, calculations are carried out on the basis of averaged
parameters, since it is impossible to take into the account all dynamics of changes
that ultimately affect development indicators. Using the capabilities of modern
modeling programs and computing power, the field can be divided into millions of
small cells. This allows to study the field behavior in great detail by applying
filtering equations to each small cell.
Modeling of hydrocarbon fields mainly consists of two stages: static and
dynamic modeling.

Primer on Enhanced Oil Recovery. DOI: https://doi.org/10.1016/B978-0-12-817632-0.00015-3
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