On the Interpretation of Unsteady State Experiments in Heterogeneous Rock by Stochastic Methods

Omidreza Amrollahinasab; Boris Jammernegg; Siroos Azizmohammadi; Holger Ott

doi:10.69631/ipj.v2i2nr44

Authors

Omidreza Amrollahinasab Montanuniversität Leoben https://orcid.org/0000-0002-6539-6304
Boris Jammernegg Montanuniversität Leoben
Siroos Azizmohammadi Montanuniversität Leoben https://orcid.org/0000-0003-2258-111X
Holger Ott Montanuniversität Leoben https://orcid.org/0000-0002-7297-9380

DOI:

https://doi.org/10.69631/ipj.v2i2nr44

Keywords:

Special Core Analysis, CO2 sequestration, unsteady-state experiments, relative pereability, capillary heterogeneity, upscaling

Abstract

Rock heterogeneity has a significant effect on immiscible displacement. This is especially true when the mobility ratio of the two fluids is unfavorable, favoring unstable displacement. However, this is not taken into account in the numerical analysis of classical core flooding experiments to quantify two-phase flow properties using Special Core Analysis (SCAL). Our approach combines the modern interpretation of SCAL data with experimental data measured on rock samples for which the homogeneity assumption - a prerequisite for SCAL experiments - can no longer apply due to their size and heterogeneity. In contrast to other studies that take heterogeneities into account, we focus on simple-to-perform unsteady-state experiments. We analyze these experiments by numerical interpretation using homogeneous and heterogeneous simulation domains and by introducing porosity-based heterogeneity and permeability as well as capillary scaling. In the current study, we first question the applicability of standard relative permeability measurements to heterogeneous rocks and fluids with an excessively high mobility ratio, such as for CO₂-brine displacement in heterogeneous rocks. However, we show that they describe two-phase flow very well when porosity-based heterogeneity is taken into account, which is equivalent to downscaling. The study thus shows a way to fall back on established standard measurements if it should be possible to account for subgrid heterogeneities in SCAL workflows. To this end, we propose an approach based on steady-state experiments and appropriate sample selection.

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