electrical and hydraulic rock properties in geothermal

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Electrical and hydraulic rock properties in geothermal high-enthalpy settings Visit us www.gemex-h2020.eu Contact us [email protected] [email protected] Juliane Kummerow, Siegfried Raab, Erik Spangenberg Helmholtz Centre Potsdam/ German Research Centre for Geosciences The content of this presentation reflects only the authors’ view. The Innovation and Networks Executive Agency (INEA) is not responsible for any use that may be made of the information it contains. We acknowledge the Comisión Federal de Electricidad (CFE) for kindly providing support and advice and for granting access to their geothermal fields. We are greatful to L. Weydt, K. Bär, C. Rochelle, B. Lepellier, D. Liotta, P. Deb for providing us with sample material. We also acknowledge our Mexican colleagues for their help an collaboration. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550 and the Mexican Energy Sustainability Fund CONACYT-SENER, project 2015-04-68074. Fig. 7. SEM images of the studied sample materials before experiments. Fig. 8. Electrical bulk and fluid conductivities normalized on the corresponding conductivity at 24 °C. Fig. 11. Permeabilities of fluid saturated rocks samples as function of temperature. Fig. 10. Si (and Ca) concentrations in the quenched fluids samples. Fluid samples were taken at ambient conditions and analysed via ICP-MS. HP/HT-Set-ups 2 Laboratory Experiments 1 Introduction For conductivity measurements in both set-ups we use a coaxial 4-electrode layout with two pairs of current and potential electrodes. The conductivity, σ, is calculated from sample resistance, R, and geometry factor, c, which considers the electrode layout: Fig. 3. Set-up for measurements of electrical fluid conductivity and reactive flow experiments. 3 Reactive flow experiments Resistivity surveys are often used in geothermal reservoir exploration to delineate sub-surface conditions, as electrical properties are sensitive to temperature, porosity, alteration of the rock, fluid content and the nature of formation fluids. Several conduction mechanisms contribute in parallel to the electrical properties of a rock: Fig. 1. The electrical properties of 26 outcrop samples predominantely representing basement units were determined at ambient conditions. For most samples the porosity was < 2 % and accordingly their electrical resistivity was high (> 500 m). Lower resistivities (36 – 300 m) were observed for porous pyroclastites and a limestone with pronounced cleavage. Exceptional low resistivities of 4 – 72 m were determined for skarn samples (35 – 40 % pyrite ) even at oven dry conditions. To date, the possibility to describe the temperature dependence of conductivity of mixed brines by models adequately is still limited. Thus, as a prerequisite for the interpretation of measurements on rock samples we have studied complex solutions containing up to 5 different solvates and representing the chemisty of Los Humeros fluids. log = + / + log + log + log Λ 0 (, ) Conductivity model for a binary solution (Sinmyo & Keppler, 2017) Moreover, the extreme changes in the fluid density and viscosity with temperature affect ion mobility, ion concentration, the dielectric constant and the chemical reactivity, what makes the interpretation of resistivity survey data very complex. However, for temperatures > 250°C only very few petrophysical data are available to correlate measurements at the earth surface with material properties in the depth. In the framework of GEMex we have studied both the electrical resistivities of relevant pore fluids and the electrical and hydraulic properties of rock samples during fluid percolation up to 530 °C at maximum. - electrolytic charge transport - electrokinetic processes at the mineral-fluid interface - intramineral electrical conductivity Fig. 5. Electrical conductivity of various rock samples representing the basement and reservoir units of the target area. Fig. 2. Set-up for combined measurements of electrical and hydraulic properties of rocks at simulated in-situ conditions, which are applied in an internally heated gas-pressure vessel. The Los Humeros system under study is characterized by a fracture dominated carbonate basement covered by an andesitic reservoir, where the permeability is both fracture and matrix-dominated (Lasinska and Rochelle, 2018). Accordingly, the studied rocks samples reflect the geological situation of hydrothermal systems in the Transmexican Volcanic Belt. Fig. 4. Electrical conductivity of various rock samples representing the basement and reservoir units of the target area. Fig. 6. Relationship of permeability, k, and bulk conductivity, σ bulk , (a) for the studied dolerite (GG1-qzDol), (b) the volcanic breccia (KH5-09), the andesite (RLM9), and (d) for the limestone (15-AC-LC). Fig. 12. SEM images of the studied sample materials after reactive flow experiments. Fig. 9. The apparent formation factors were determined from fluid and bulk conductivities in dependence of temperature. (Calgano et al. 2018)

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Electrical and hydraulic rock properties in geothermal high-enthalpy settings

Visit us www.gemex-h2020.eu

Contact [email protected]@gfz-potsdam.de

Juliane Kummerow, Siegfried Raab, Erik SpangenbergHelmholtz Centre Potsdam/ German Research Centre for Geosciences

The content of this presentation reflects only the authors’ view. The Innovation and Networks Executive Agency (INEA) is not responsible for any use that may be made of the information it contains.

We acknowledge the Comisión Federal de Electricidad (CFE) for kindly providing support and advice and for granting access to their geothermal fields. We are greatful to L. Weydt, K. Bär, C. Rochelle, B. Lepellier, D. Liotta, P. Deb for providing us with sample material. We also acknowledge our Mexican colleagues for their help an collaboration.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550 and the Mexican Energy Sustainability Fund CONACYT-SENER, project 2015-04-68074.

Fig. 7. SEM images of the studiedsample materials before experiments.

Fig. 8. Electrical bulk and fluidconductivities normalized on thecorresponding conductivity at 24 °C.

Fig. 11. Permeabilities of fluidsaturated rocks samples as function oftemperature.

Fig. 10. Si (and Ca) concentrations inthe quenched fluids samples. Fluidsamples were taken at ambientconditions and analysed via ICP-MS.

HP/HT-Set-ups

2 Laboratory Experiments1 Introduction

For conductivity measurements in both set-ups we use a coaxial 4-electrodelayout with two pairs of current and potential electrodes. The conductivity, σ, iscalculated from sample resistance, R, and geometry factor, c, which considers theelectrode layout:

Fig. 3. Set-up for measurements of electrical fluid conductivity and reactive flow experiments.

3 Reactive flow experiments

Resistivity surveys are often used in geothermal reservoir exploration to delineate sub-surfaceconditions, as electrical properties are sensitive to temperature, porosity, alteration of the rock,fluid content and the nature of formation fluids. Several conduction mechanisms contribute inparallel to the electrical properties of a rock:

Fig. 1. The electrical properties of 26 outcropsamples predominantely representingbasement units were determined at ambientconditions. For most samples the porosity was< 2 % and accordingly their electrical resistivitywas high (> 500 Ωm). Lower resistivities (36 –300 Ωm) were observed for porouspyroclastites and a limestone with pronouncedcleavage. Exceptional low resistivities of 4 –72 Ωm were determined for skarn samples (35– 40 % pyrite ) even at oven dry conditions.

To date, the possibility to describe the temperature dependence of conductivity of mixed brines by models adequately is still limited. Thus, as a prerequisite for the interpretation of measurements on rock samples we have studied complex solutions containing up to 5 different solvates and representing the chemisty of Los Humeros fluids.

log 𝜎𝜎 = 𝐴𝐴 + 𝐵𝐵/𝑇𝑇 + 𝐶𝐶 log 𝑐𝑐 + 𝐷𝐷 log𝜌𝜌 + logΛ0(𝑇𝑇,𝜌𝜌)

Conductivity model for a binary solution (Sinmyo & Keppler, 2017)

Moreover, the extreme changes in the fluid density andviscosity with temperature affect ion mobility, ion concentration,the dielectric constant and the chemical reactivity, what makesthe interpretation of resistivity survey data very complex.However, for temperatures > 250°C only very fewpetrophysical data are available to correlate measurements atthe earth surface with material properties in the depth. In theframework of GEMex we have studied both the electricalresistivities of relevant pore fluids and the electrical andhydraulic properties of rock samples during fluid percolation upto 530 °C at maximum.

- electrolytic charge transport- electrokinetic processes at the mineral-fluid

interface- intramineral electrical conductivity

Fig. 5. Electrical conductivity of various rocksamples representing the basement andreservoir units of the target area.

Fig. 2. Set-up for combinedmeasurements of electrical andhydraulic properties of rocks atsimulated in-situ conditions, whichare applied in an internally heatedgas-pressure vessel.

The Los Humeros system under study is characterized by a fracture dominated carbonate basement covered by an andesitic reservoir, where the permeability is both fracture and matrix-dominated (Lasinska and Rochelle, 2018). Accordingly, the studied rocks samples reflect the geological situation of hydrothermal systems in the Transmexican Volcanic Belt.

Fig. 4. Electrical conductivity of various rock samples representing the basement and reservoirunits of the target area.

Fig. 6. Relationship of permeability, k, and bulk conductivity,σbulk, (a) for the studied dolerite (GG1-qzDol), (b) the volcanicbreccia (KH5-09), the andesite (RLM9), and (d) for the limestone(15-AC-LC).

Fig. 12. SEM images of the studiedsample materials after reactive flowexperiments.

Fig. 9. The apparent formation factorswere determined from fluid and bulkconductivities in dependence oftemperature.

(Calgano et al. 2018)