Explicit continuum scale modeling of low-salinity mechanisms

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Explicit continuum scale modeling of low-salinity mechanisms. / Ott, Holger; Kurgyis, Kata; Hommel, Johannes et al.
in: Journal of Petroleum Science and Engineering, Jahrgang 2021, Nr. 199, 108336, 01.04.2021.

Publikationen: Beitrag in FachzeitschriftArtikelForschung(peer-reviewed)

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Ott H, Kurgyis K, Hommel J, Flemisch B, Helmig R. Explicit continuum scale modeling of low-salinity mechanisms. Journal of Petroleum Science and Engineering. 2021 Apr 1;2021(199):108336. doi: 10.1016/j.petrol.2020.108336

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@article{9101bee6beb041fe81e919db281d3dd5,
title = "Explicit continuum scale modeling of low-salinity mechanisms",
abstract = "Understanding the influence of injection water composition on the displacement efficiency has been a long-standing issue in reservoir engineering; a reduction of the injection water salinity can lead to additional oil production, which is considered a low-cost and environmentally friendly method for enhanced oil recovery. Several underlying chemical mechanisms have been identified; however, the identification of the governing mechanisms remains difficult and specific to the chemical setting of the reservoir and injection water composition. In this work, we implement two potential mechanisms, namely, double layer expansion and multicomponent ion exchange, to achieve an explicit description of low-salinity effects in the open-source continuum-scale flow simulator DuMuX, with the goal of designing and interpreting experiments, and upscaling the results. By assuming sets of input parameters, we show that there is a minimum required core length dependent on the dispersion of the chemical flooding front dominated by sample heterogeneity. Above this length scale, the saturation profile is fully developed, and the chemical effluent analysis is conclusive, which both is required to calibrate continuum scale models. The change in the chemical water composition shows a characteristic fingerprint for both investigated mechanisms and therefore allows the identification of the leading low-salinity mechanism. The model is publicly available.",
keywords = "Low-salinity Double layer expansion Multicomponent ion exchange Reactive transport modeling Dispersion IOR EOR",
author = "Holger Ott and Kata Kurgyis and Johannes Hommel and Bernd Flemisch and Rainer Helmig",
year = "2021",
month = apr,
day = "1",
doi = "10.1016/j.petrol.2020.108336",
language = "English",
volume = "2021",
journal = "Journal of Petroleum Science and Engineering",
publisher = "Elsevier",
number = "199",

}

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TY - JOUR

T1 - Explicit continuum scale modeling of low-salinity mechanisms

AU - Ott, Holger

AU - Kurgyis, Kata

AU - Hommel, Johannes

AU - Flemisch, Bernd

AU - Helmig, Rainer

PY - 2021/4/1

Y1 - 2021/4/1

N2 - Understanding the influence of injection water composition on the displacement efficiency has been a long-standing issue in reservoir engineering; a reduction of the injection water salinity can lead to additional oil production, which is considered a low-cost and environmentally friendly method for enhanced oil recovery. Several underlying chemical mechanisms have been identified; however, the identification of the governing mechanisms remains difficult and specific to the chemical setting of the reservoir and injection water composition. In this work, we implement two potential mechanisms, namely, double layer expansion and multicomponent ion exchange, to achieve an explicit description of low-salinity effects in the open-source continuum-scale flow simulator DuMuX, with the goal of designing and interpreting experiments, and upscaling the results. By assuming sets of input parameters, we show that there is a minimum required core length dependent on the dispersion of the chemical flooding front dominated by sample heterogeneity. Above this length scale, the saturation profile is fully developed, and the chemical effluent analysis is conclusive, which both is required to calibrate continuum scale models. The change in the chemical water composition shows a characteristic fingerprint for both investigated mechanisms and therefore allows the identification of the leading low-salinity mechanism. The model is publicly available.

AB - Understanding the influence of injection water composition on the displacement efficiency has been a long-standing issue in reservoir engineering; a reduction of the injection water salinity can lead to additional oil production, which is considered a low-cost and environmentally friendly method for enhanced oil recovery. Several underlying chemical mechanisms have been identified; however, the identification of the governing mechanisms remains difficult and specific to the chemical setting of the reservoir and injection water composition. In this work, we implement two potential mechanisms, namely, double layer expansion and multicomponent ion exchange, to achieve an explicit description of low-salinity effects in the open-source continuum-scale flow simulator DuMuX, with the goal of designing and interpreting experiments, and upscaling the results. By assuming sets of input parameters, we show that there is a minimum required core length dependent on the dispersion of the chemical flooding front dominated by sample heterogeneity. Above this length scale, the saturation profile is fully developed, and the chemical effluent analysis is conclusive, which both is required to calibrate continuum scale models. The change in the chemical water composition shows a characteristic fingerprint for both investigated mechanisms and therefore allows the identification of the leading low-salinity mechanism. The model is publicly available.

KW - Low-salinity Double layer expansion Multicomponent ion exchange Reactive transport modeling Dispersion IOR EOR

UR - http://www.scopus.com/inward/record.url?scp=85098939109&partnerID=8YFLogxK

U2 - 10.1016/j.petrol.2020.108336

DO - 10.1016/j.petrol.2020.108336

M3 - Article

VL - 2021

JO - Journal of Petroleum Science and Engineering

JF - Journal of Petroleum Science and Engineering

IS - 199

M1 - 108336

ER -