Transport in Porous Media

, Volume 89, Issue 3, pp 357–382 | Cite as

Network Modeling of EOR Processes: A Combined Invasion Percolation and Dynamic Model for Mobilization of Trapped Oil

Open Access
Article

Abstract

A novel concept for modeling pore-scale phenomena included in several enhanced oil recovery (EOR) methods is presented. The approach combines a quasi-static invasion percolation model with a single-phase dynamic transport model in order to integrate mechanistic chemical oil mobilization methods. A framework is proposed that incorporates mobilization of capillary trapped oil. We show how double displacement of reservoir fluids can contribute to mobilize oil that are capillary trapped after waterflooding. In particular, we elaborate how the physics of colloidal dispersion gels (CDG) or linked polymer solutions (LPS) is implemented. The linked polymer solutions consist of low concentration partially hydrolyzed polyacrylamide polymer crosslinked with aluminum citrate. Laboratory core floods have shown demonstrated increased oil recovery by injection of linked polymer solution systems. LPS consist of roughly spherical particles with sizes in the nanometer range (50–150 nm). The LPS process involve mechanisms such as change in rheological properties effect, adsorption and entrapment processes that can lead to a microscopic diversion and mobilization of waterflood trapped oil. The purpose is to model the physical processes occurring on pore scale during injection of linked polymer solutions. A sensitivity study has also been performed on trapped oil saturation with respect to wettability status to analyze the efficiency of LPS on different wettability conditions. The network modeling results suggest that weakly wet reservoirs are more suitable candidates for performing linked polymer solution injection.

Keywords

Network model Trapped oil mobilization EOR processes Linked polymer solution Colloidal dispersion gel 

List of Symbols

A

Langmuir adsorption coefficient (cm3/g)

AP1,2,3

Constant coefficients (cm3/g)

B

Langmuir adsorption coefficient (cm3/g)

Clg

Critical concentration for log jamming mechanism (g/cm3)

Cp

Polymer concentration (g/cm3)

Cs

Critical concentration for straining mechanism (g/cm3)

f

Fractional flow rate (–)

G

Absolute pore element conductance

Gf

Water corner layer conductance

gpc

Bonds conductance

Gw

Water bulk conductance

i, j, k

Bonds index (–)

Nca

Capillary number (–)

P

Pressure (Pa)

Q

Bonds flow rate (m3/s)

q

Flow rate (m3/s)

Rb

Bond radius (μm)

Rp

Polymer effective hydrodynamic radius (μm)

S

Log-jamming curve increase (–)

α

Oil-filled fractional in partially filled bond

μ

Viscosity (Pa.s)

μw

Water viscosity (Pa.s)

σ

Interfacial tension (N/m)

Notes

Acknowledgment

The authors would like to acknowledge the PETROMAKS program at the Norwegian Research Council and Statoil for financial support to our EOR research.

Open Access

This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

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Copyright information

© The Author(s) 2011

Authors and Affiliations

  1. 1.Center for Integrated Petroleum Research (CIPR)BergenNorway

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