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Zsuzsanna Szabó Mining and Geological Survey of Hungary, Hungary

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Nóra Edit Gál Mining and Geological Survey of Hungary, Hungary

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Éva Kun Mining and Geological Survey of Hungary, Hungary

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Teodóra Szőcs Mining and Geological Survey of Hungary, Hungary

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György Falus Mining and Geological Survey of Hungary, Hungary

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In worst-case leakage scenarios of CO2 geological storage, CO2 or brine may contaminate shallower drinking water aquifers. This work applies an advanced geochemical modeling methodology to predict and understand the effects of the aforementioned contamination scenarios. Several possibilities, such as equilibrium batch, kinetic batch, and 1D kinetic reactive transport simulations, were tested. These have all been implemented in the widely applied PHREEQC code. The production of figures and animations has been automated by R programming. The different modeling levels provide complementary information to each other. Both scenarios (CO2 or brine leakage) indicate the increase of ion concentrations in the freshwater, which might exceed drinking water limit values. The dissolution of CO2 changes the pH and induces mineral dissolution and precipitation in the aquifer and therefore changes in solution composition. Brine replacement of freshwater due to the pressure increase in the geological system induces mineral reactions as well.

Abstract

In worst-case leakage scenarios of CO2 geological storage, CO2 or brine may contaminate shallower drinking water aquifers. This work applies an advanced geochemical modeling methodology to predict and understand the effects of the aforementioned contamination scenarios. Several possibilities, such as equilibrium batch, kinetic batch, and 1D kinetic reactive transport simulations, were tested. These have all been implemented in the widely applied PHREEQC code. The production of figures and animations has been automated by R programming. The different modeling levels provide complementary information to each other. Both scenarios (CO2 or brine leakage) indicate the increase of ion concentrations in the freshwater, which might exceed drinking water limit values. The dissolution of CO2 changes the pH and induces mineral dissolution and precipitation in the aquifer and therefore changes in solution composition. Brine replacement of freshwater due to the pressure increase in the geological system induces mineral reactions as well.

Introduction

Carbon capture and storage (CCS) is a transitional technology (EASAC 2013) for the reduction of greenhouse gas emission and the mitigation of climate change (IPCC 2013). Following the implementation of the 2009/31/EC Directive in the Hungarian legislation, the competent authority is required to evaluate the potentially suitable Hungarian geological structures for CCS, the geological sequestration of CO2.

An initial assessment period ended in 2014, which included determining the geological and technical viability, estimating storage volume and evaluating the basic environmental aspects of selected structures (e.g., Falus et al. 2011; Szamosfalvi et al. 2011). A second assessment period began in 2015, including the study of the geochemical reactivity of reservoir and cap rocks, as well as evaluating disaster scenarios of CO2 escape and brine displacement to protected shallower drinking (i.e., fresh) water aquifers of the neighboring area.

This study aims to create a variety of geochemical models representing potential CO2 or brine-induced effects in vulnerable drinking water reservoirs above potential CCS sites in Hungary. The methodological levels are presented through a selected study area by thermodynamic and kinetic batch models, and finally a one-dimensional (1D) kinetic reactive transport simulation is also provided.

Studied area

In total, 13 potential CO2 geological storage reservoirs, i.e., high-porosity saline water structures, were selected for the study (Fig. 1). These are primarily located in the southeast part of Hungary, in the Great Hungarian Plain, and are all overlain by thick Quaternary and Upper Pannonian (Miocene) multilayered lacustrine and fluvial aquifers (Rónai 1985). Above the brine, protected drinking water is found at shallower depths both in the Quaternary and in the upper part of the Upper Pannonian (Miocene A) layers. The worst-case CO2 or brine-leakage modeling approach is presented through the example of the well-studied Mezőtúr area, which is characterized by regional and intermediate flow systems with a dominant upward flow, comprising a regional discharge area.

Fig. 1
Fig. 1

Potential CO2 storage reservoirs in the Great Hungarian Plain, with the studied area highlighted, and at the bottom, the geological cross-section presenting the location of boreholes, the geological structures, and the typical groundwater flow path in the area

Citation: Central European Geology Central European Geology 60, 3; 10.1556/24.60.2017.014

Modeling methodology

The methods applied are similar as in the work of Del Bon et al. (2015) published in this journal. All of the digital modeling work was carried out using the geochemical software, PHREEQC version 3 (Parkhurst and Appelo 2013) and its results were visualized with several programs written in R programming language (R Core Team 2017).

Model types

In this study, all available methodology levels of geochemical modeling have been applied, providing complementary information to each other and the possibility of building up the most representative reactive transport concepts of worst-case leakage scenarios. In summary, the disaster events of CO2 or brine (saline water) inflow into freshwater aquifers have been described and compared with reference scenarios in the following concepts:

  • Batch models:

    • Thermodynamic batch models representing the equilibrium state of the systems in infinite time:

      • Brine displacement of freshwater in 0%–100%,

      • CO2 added to freshwater in 1 mmol steps up to 10 mol.

    • Kinetic batch models predicting reactions in a static concept in time, for about the first 100 years after the leakage happens the following:

      • 10% brine + 90% freshwater reacts with minerals of the aquifer in time,

      • CO2-saturated freshwater.

  • 1D reactive transport models:

    • Thermodynamic reactive transport models have not been considered, because with continuous fluid flow in the cells of the model, equilibrating the system cannot provide a reasonable estimation of mineral dissolution and precipitation processes.

    • Kinetic 1D reactive transport models representing the best estimate of freshwater aquifer with continuous fluid flow and contaminating CO2 or brine inflow:

      • reference, i.e., freshwater,

      • 10% brine + 90% freshwater flow in the aquifer,

      • CO2-saturated freshwater.

Model input data

Thermodynamic

For all simulations, the PHREEQC.DAT thermodynamic database was used. Any missing information was taken from the LLNL.DAT database (Wolery 1979).

Kinetic

Kinetic dissolution and precipitation equations of mineral phases were defined similarly to an earlier work of Szabó et al. (2016), in which modeling methodology is primarily based on the USGS report of Palandri and Kharaka (2004). Specific surface areas of minerals are from the RES³T database (HZDR online).

Fluid and matrix properties

The solution composition of saline and freshwaters and their temperature information are accessible from the institute’s (Mining and Geological Survey) geochemical database and are summarized in Table 1. The mineral composition of the freshwater aquifer formation applied in the models was determined based on XRD measurements of core samples; 10.50 albite, 1 calcite, 4.75 chlorite, 2 dolomite, 2 goethite, 10.25 illite, 1.67 kaolinite, 3.75 K-feldspar, 6.25 montmorillonite, 61 quartz, and 1% tremolite. The porosity is estimated to be 15% for the aquifer. In transport models, flow rate must be provided. It should be mentioned that hydraulic conductivity values can vary within 1–2 magnitudes in the studied Quaternary and Upper Pannonian sediments, depending on the geological settings. A previous regional 3D hydrodynamic modeling study (Tóth et al. 2012, 2016) suggests values overlapping with the hydraulic conductivity range provided by Freeze and Cherry (1979). In test models of this study, based on this hydraulic conductivity range, a realistic upper estimate of 2 m/day flow rate has been calculated and applied.

Table 1

Solution compositions of freshwater and saline water

Freshwater Saline water
T (°C) 17 100
pe 0.5 −4
pH 7.1 8.3
Na (mg/L) 227 10,300
K (mg/L) 1.5 1,530
Mg (mg/L) 21 51
Ca (mg/L) 38 79
Fe (mg/L) 1.38 0.23
Cl (mg/L) 18 16,900
NH4 (mg/L) 1.7 184
HCO3 (mg/L) 830 1,958
S(6) (mg/L) 10 1,592
SiO2 (mg/L) 10 148
Al (mg/L) 0.05 0.05

Results and discussion

Understanding reactions in a static concept – Batch models

Thermodynamic batch models

Thermodynamic models provide information on the equilibrium state of different rock–water–gas mixtures in infinite time. Mineral compositions predicted in brine and CO2 contamination models of the freshwater aquifer of Mezőtúr area are presented in Fig. 2. These models benefit from the possibility of running several scenarios of interest simultaneously and help in the selection of the most representative ones for further modeling tasks.

Fig. 2
Fig. 2

Equilibrium mineral compositions predicted by thermodynamic batch models of (A) brine and (B) CO2 inflow

Citation: Central European Geology Central European Geology 60, 3; 10.1556/24.60.2017.014

Brine displacement continuously changes the equilibrium state (increasing illite, dolomite dissolution, and kaolinite, and calcite precipitation). Based on the equilibrium solution composition output, the most significant changes are linked to the first 10% saline-water inflow (because the difference in compositions then decreases). Therefore, for kinetic modeling purposes, a realistically possible 10% saline + 90% freshwater mixture has been selected. Different amounts of CO2 inflow change the reactions in three major steps characterized by the full dissolution of albite and calcite.

Kinetic batch models

Geochemical systems are usually far from a state of equilibrium; therefore, kinetic modeling provides the necessary information for evaluating induced reactions. For this type of model, specific concepts were selected to present in Fig. 3, which were 10% brine + 90% freshwater (based on thermodynamic batch models and a realistic mixing scenario) and CO2-saturated freshwater reaction in the aquifer simulated for 125 years. In the batch modeling approach, no significant difference was observed between the pure freshwater model and that of the brine mixture, unlike the CO2 model. It becomes clear how the change of the flow rate in transport simulations corresponds to different parts of the presented curves (Fig. 3) and how it influences the outcome of the models are presented in the following section.

Fig. 3
Fig. 3

Mineral compositions versus time in kinetic batch models of (A) 10% brine + 90% freshwater and (B) CO2-saturated freshwater

Citation: Central European Geology Central European Geology 60, 3; 10.1556/24.60.2017.014

Kinetic reactive transport models

  1. 1. Reactions in freshwater aquifer – a reference model. Since even without any brine or CO2 leakage, there are reactions taking place in the freshwater aquifer, it is important to provide a reference model of this continuous fluid flow in porous media. In Fig. 4, the most important observation, which can be made, is the dissolution of Ca-montmorillonite and the precipitation of kaolinite along the entire path.
  2. 2. Effect of brine replacement of freshwater. Brine–freshwater mixture inflow into the studied aquifer changes solution compositions corresponding to the chemistry of the brine. The front is at around 500 m for all parameters on the 150th day of the inflow (Fig. 5). Compared with the reference, only a minor illite precipitation is indicated at the entry point; therefore, the flow goes along without any disturbance by geochemical reactions.
  3. 3. Reactions in freshwater aquifer induced by CO2 inflow. CO2 dissolution in freshwater significantly reduces its pH (Fig. 6, top left). This induces much more significant and different mineral dissolution and precipitation reactions in the rock than in the above cases (Fig. 6, right). This makes it understandable why the reaction front reaches a shorter distance on the 150th day than for the transport of the brine mixture, 250 versus 500 m (Fig. 6 vs. Fig. 5). Calcite, tremolite, illite, and albite dissolve, whereas dolomite, Ca-montmorillonite, and kaolinite precipitate. At the reaction front, illite precipitation is predicted. These processes change the solution composition (Fig. 6, bottom left). K, Mg, Ca, and Si concentrations increase, among which K runs ahead of the front.

Fig. 4
Fig. 4

Solution compositions and mineral reactions of freshwater flow

Citation: Central European Geology Central European Geology 60, 3; 10.1556/24.60.2017.014

Fig. 5
Fig. 5

Predicted consequences of 10% brine + 90% freshwater inflow

Citation: Central European Geology Central European Geology 60, 3; 10.1556/24.60.2017.014

Fig. 6
Fig. 6

Predicted consequences of CO2-saturated freshwater inflow

Citation: Central European Geology Central European Geology 60, 3; 10.1556/24.60.2017.014

Conclusions

Three main types of PHREEQC models were generated to evaluate unlikely, but potential saline water or CO2 contamination of drinking water aquifers. These are thermodynamic and kinetic batch, as well as kinetic reactive transport models. Reactive transport modeling connected to CCS was first performed in the Pannonian Basin. The different levels of modeling results are complementary to each other and all suggest that certain ion concentrations may exceed drinking water limit or indicator values in both of the studied worst-case leakage scenarios of CCS. Based on the present state of models, it is expected that reactivity between rock and fluid slows down the reaction front in the CO2 inflow case. Further improvement of models is planned by incorporating cation exchange capacity as modeling input, by refining applied transport parameters, and even extending the approach to 2D and 3D. Estimation of solution conductivity and rock total porosity changes are also useful and expected in later phases of the project.

Acknowledgements

The research was supported by the OTKA program of the National Research, Development and Innovation Office of Hungary (K 115927 for GF).

References

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    • Search Google Scholar
    • Export Citation
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    • Search Google Scholar
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    • Crossref
    • Search Google Scholar
    • Export Citation
  • Szamosfalvi, Á. , Gy. Falus , Gy. Juhász 2011: A CO2 föld alatti tárolása “sósvizes” víztartó rétegekben történő megvalósulásának lehetőségei Magyarországon [The potential options of storing CO2 in saline reservoir in Hungary]. – Magyar Geofizika, 52, pp. 95106. (in Hungarian)

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    • Export Citation
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    • Crossref
    • Search Google Scholar
    • Export Citation
  • Tóth, Gy. , Á. Rotár-Szalkai , T. Kerékgyártó , T. Szőcs , E. Gáspár , A. Lapanje , N. Rman , J. Svasta , R. Černák , A. Remsík , G. Schubert , R. Berka , G. Goetzl 2012: Summary report of the supra-regional hydrogeological model. – Report of TRANSENERGY project, http://transenergy-eu.geologie.ac.at, 67 p.

    • Search Google Scholar
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  • Wolery, T.J. 1979: Calculation of chemical equilibrium between aqueous solution and minerals: The EQ3/6 software package. – Report UCRL-52658, Lawrence Livermore Laboratory, Livermore, 46 p.

    • Search Google Scholar
    • Export Citation
  • Del Bon, A. , C. Sbarbati , E. Brunetti , V. Carucci , A. Lacchini , V. Marinelli , M. Petitta 2015: Groundwater flow and geochemical modeling of the Acque Albule thermal basin (Central Italy): A conceptual model for evaluating influences of human exploitation on flowpath and thermal resource availability. – Central European Geology, 58/1–2, pp. 152170.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • EASAC 2013: Carbon Capture and Storage in Europe. – EASAC Policy Report, 20, DVZ-Daten-Service GmbH, Halle/Saale, 86 p.

  • Falus, Gy. , Á. Szamosfalvi , M. Vidó , K. Török , H. Jencsel 2011: A hazai földtani szerkezetek felmérése a szén-dioxid-visszasajtolás szempontjából [Assessment of Hungarian storage formations for the purpose of carbon dioxide injection]. – Magyar Tudomány, 4, pp. 450458. (in Hungarian)

    • Search Google Scholar
    • Export Citation
  • Freeze, R.A. , J.A. Cherry 1979: Groundwater. – Prentice-Hall International, Englewood Cliffs, 604 p.

  • HZDR, Helmholtz-Zentrum Dresden-Rossendorf: RES³T – Rossendorf Expert System for Surface and Sorption Thermodynamics. – http://www.hzdr.de/db/RES3T.queryData.

    • Search Google Scholar
    • Export Citation
  • IPCC 2013: Summary for policymakers. – In: Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S.K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex, P.M. Midgley (Eds): Climate Change 2013: The Physical Science Basis. Cambridge University Press, Cambridge, pp. 329.

    • Search Google Scholar
    • Export Citation
  • Palandri, J.L. , Y.K. Kharaka 2004: A compilation of rate parameters of water–mineral interaction kinetics for application to geochemical modelling. – U.S. Geological Survey Open File Report, 2004–1068, 71 p.

    • Search Google Scholar
    • Export Citation
  • Parkhurst, D.L. , C.A.J. Appelo 2013: Description of input and examples for PHREEQC version 3 – A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations. – U.S. Geological Survey Techniques and Methods, 6–A43, 497 p.

    • Search Google Scholar
    • Export Citation
  • R Core Team 2017: R: A Language and Environment for Statistical Computing. – R Foundation for Statistical Computing, Viennahttps://www.R-project.org/.

    • Search Google Scholar
    • Export Citation
  • Rónai, A. 1985: Az Alföld negyedidőszaki földtana [The Quaternary of the great Hungarian Plain]. – Geologica Hungarica Series Geologica, 21, 446 p. (in Hungarian)

    • Search Google Scholar
    • Export Citation
  • Szabó, Zs. , H. Hellevang , Cs. Király , E. Sendula , P. Kónya , Gy. Falus , Sz. Török , Cs. Szabó 2016: Experimental-modelling geochemical study of potential CCS caprocks in brine and CO2-saturated brine. – International Journal of Greenhouse Gas Control, 44, pp. 262275.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Szamosfalvi, Á. , Gy. Falus , Gy. Juhász 2011: A CO2 föld alatti tárolása “sósvizes” víztartó rétegekben történő megvalósulásának lehetőségei Magyarországon [The potential options of storing CO2 in saline reservoir in Hungary]. – Magyar Geofizika, 52, pp. 95106. (in Hungarian)

    • Search Google Scholar
    • Export Citation
  • Tóth, Gy. , N. Rman , Á. Rotár-Szalkai , T. Kerékgyártó , T. Szőcs , A. Lapanje , R. Černák , A. Remsík , G. Schubert , A. Nádor 2016: Transboundary fresh and thermal groundwater flows in the west part of the Pannonian Basin. – Renewable and Sustainable Energy Reviews, 57, pp. 439454.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Tóth, Gy. , Á. Rotár-Szalkai , T. Kerékgyártó , T. Szőcs , E. Gáspár , A. Lapanje , N. Rman , J. Svasta , R. Černák , A. Remsík , G. Schubert , R. Berka , G. Goetzl 2012: Summary report of the supra-regional hydrogeological model. – Report of TRANSENERGY project, http://transenergy-eu.geologie.ac.at, 67 p.

    • Search Google Scholar
    • Export Citation
  • Wolery, T.J. 1979: Calculation of chemical equilibrium between aqueous solution and minerals: The EQ3/6 software package. – Report UCRL-52658, Lawrence Livermore Laboratory, Livermore, 46 p.

    • Search Google Scholar
    • Export Citation
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Senior editors

Editor(s)-in-Chief: Attila DEMÉNY

Deputy Editor(s)-in-Chief: Béla RAUCSIK

Co-ordinating Editor(s): Gábor SCHMIEDL

Editorial Board

  • Zsolt BENKÓ (Geochemistry, Ar dating; Institute for Nuclear Research, Debrecen)
  • Szabolcs HARANGI (Petrology, geochemistry, volcanology; Eötvös Loránd University, Budapest)
  • Anette GÖTZ (Sedimentology; Landesamt für Bergbau, Energie und Geologie, Hannover)
  • János HAAS (Regional Geology and Sedimentology; Eötvös Loránd University, Budapest)
  • István Gábor HATVANI (Geomathematics; Institute for Geological and Geochemical Research, Budapest)
  • Henry M. LIEBERMAN (Language Editor; Salt Lake City)
  • János KOVÁCS (Quaternary geology; University of Pécs)
  • Szilvia KÖVÉR (Sedimentology; Eötvös Loránd University, Budapest)
  • Tivadar M. TÓTH (Mineralogy; Petrology    University of Szeged)
  • Stephen J. MOJZSIS (Petrology, geochemistry and planetology; University of Colorado Boulder)
  • Norbert NÉMETH (Structural geology; University of Miskolc)
  • Attila ŐSI (Paleontology; Eötvös Loránd University, Budapest)
  • József PÁLFY (Fossils and Stratigraphic Records; Eötvös Loránd University, Budapest)
  • György POGÁCSÁS (Petroleum Geology; Eötvös Loránd University, Budapest)
  • Krisztina SEBE (Tectonics, sedimentology, geomorphology University of Pécs)
  • Ioan SEGHEDY (Petrology and geochemistry; Institute of Geodynamics, Bucharest)
  • Lóránd SILYE (Paleontology; Babeș-Bolyai University, Cluj-Napoca)
  • Ákos TÖRÖK (Applied and Environmental Earth Sciences; Budapest University of Technology and Economics, Budapest)
  • Norbert ZAJZON (Petrology and geochemistry; University of Miskolc)
  • Ferenc MOLNÁR (ore geology, geochemistry, geochronology, archaeometry; Geological Survey of Finland, Espoo)

Advisory Board

Due to the changes in editorial functions, the Advisory Board has been terminated. The participation of former Advisory Board members is highly appreciated and gratefully thanked.

CENTRAL EUROPEAN GEOLOGY
Institute for Geochemical Research
Hungarian Academy of Sciences
Address: Budaörsi út 45. H-1112 Budapest, Hungary
Phone: (06 1) 309 2681
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E-mail: demeny@geochem.hu

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Central European Geology
Language English
Size Vol 1-63: B5
Vol 64- : A4
Year of
Foundation
2007 (1952)
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per Year
1
Issues
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2
Founder Magyar Tudományos Akadémia  
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Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
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ISSN 1788-2281 (Print)
ISSN 1789-3348 (Online)

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