Effect of permeability on foam-model parameters

An integrated approach from core-flood experiments through to foam diversion calculations

Journal Article (2017)
Author(s)

L. Kapetas (TU Delft - Civil Engineering & Geosciences)

S. Vincent Bonnieu (TU Delft - Civil Engineering & Geosciences, Shell Global Solutions International B.V.)

R. Farajzadeh (Shell Global Solutions International B.V., TU Delft - Civil Engineering & Geosciences)

A. A. Eftekhari (TU Delft - Civil Engineering & Geosciences)

S. R.Mohd Shafian (Petronas Research)

R. Z.Kamarul Bahrim (Petronas Research)

W. R. Rossen (TU Delft - Civil Engineering & Geosciences)

Research Group
Reservoir Engineering
DOI related publication
https://doi.org/10.1016/j.colsurfa.2017.06.060 Final published version
More Info
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Publication Year
2017
Language
English
Research Group
Reservoir Engineering
Journal title
Colloids and Surfaces A: Physicochemical and Engineering Aspects
Volume number
530
Pages (from-to)
172-180
Downloads counter
209

Abstract

We present a set of steady-state foam-flood experimental data for four sandstones with different permeabilities, ranging between 6 and 1900 mD, and with similar porosity. We derive permeability-dependent foam parameters with two modelling approaches, those of Boeije and Rossen (2015a) and a non-linear least-square minimization approach (Eftekhari et al., 2015). The two approaches can yield significantly different foam parameters. Thus, we critically assess their ability in deriving reliable foam parameter estimates. In particular, the way the two approaches treat shear-thinning foam behaviour and foam coalescence is discussed. The foam parameter set acquired from the latter approach is further used as input in foam diversion calculations: this serves to evaluate mobility predictions in non-communicating reservoir layers. This study aims to provide a framework to integrate experimental work, modelling and simple qualitative diversion calculations to provide a background for the upscaling of foam studies, with particular focus on heterogeneous systems.