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Research data keyboard_double_arrow_right Dataset 2023Publisher:DaRUS Keim, Leon; Class, Holger; Schirmer, Larissa; Wendel, Kai; Strauch, Bettina; Zimmer, Martin;doi: 10.18419/darus-3271
This dataset contains data generated during the measurement campaign inside the karst cave. The CO2 sensors in the cave air will continue to measure (as of Feb. 2023). For details on the site etc. see https://doi.org/10.3390/geosciences13020051 To create the graphs in the Class et al. 2023 Download cave-data.tar.xz, make sure you have the dependencies shown in requirements_paper_2022.txt. Then one can recreate the graphs by running the jupyter-notebook in that directory. Structure of the dataset: cave-data.tar.xz: contains the data produced during the measurement campaign. Additionally, all the figures of (todo: add paper doi) are created here. grid_const.tar.gz: contains the data generated by the grid study with constant CO2 concentration at the top. grid_data.tar.gz: contains the data generated by the grid study with measured CO2 concentration at the top 3D.tar.gz: contains data generated by the 2D and 3D comparison cave_sims.tar.gz: contains details on the simulation of the whole column. Specifically, figures and a video on the development of vortex cascades. requirements_paper_2022.txt: contains python modules for the post-processing. The main focus of this dataset lies on the data generated in the cave. Items in cave-data.tar.xz are: Raw_data contains the CO2(g) and pressure measurements in csv files. DWD_data contains the pressure,temperature and precipitation data from the DWD ('Deutscher Wetterdienst'). Pressure/temperature is measured in Stötten (30km apart) and precipitation is measured in Westerheim (5km apart). Control_data_temperature contains the temperature data from additional temperature sensors. This data is used for comparison only. Control_data_CO2 contains the CO2(g) data from additional CO2(g) sensors. This data is used for comparison only. Sim_data contains results from various simulations. The script Cave_measures_sim_plot.ipynb contains the code to process and visualize the data. Furthermore, the titration results are directly written into the script. Python, 3.9
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022Publisher:DaRUS Authors: Karadimitriou, Nikolaos; Steeb, Holger; Valavanides, Marios;Karadimitriou, Nikolaos; Steeb, Holger; Valavanides, Marios;doi: 10.18419/darus-2816
The current repository contains raw data collected during a systematic laboratory study, examining the flow rate dependency of steady-state, co-injection of two-immiscible fluids within a microfluidic pore network model. The study is presented in the paper by Karadimitriou et al., 2023. The two fluids were the wetting phase (WP), FluorinertTM, FC770, and the non-wetting phase (NWP), deionized water mixed with ink. The two fluids were co-injected through a Poly-Di-Methyl-Siloxane (PDMS) micromodel. The objective of the study was to validate, as a proof of concept, the theoretically developed, generic, relative permeability scaling model taking into account the flow rate dependency. Also to verify the capability of detecting various invariant characteristic properties of the two-fluid and pore network system, such as the locus of flow conditions of equal relative permeabilities, the locus of critical flow conditions, and the intrinsic dynamic capillary pressure (IDCP) curve. Applications-wise, the degree of consistency between flow rate ratio and mobility ratio values, the IDCP curve, the locus of critical flow conditions, and the locus of equal relative permeabilities, as well as some associated invariant characteristic values, can be used for assessing the extent of end effects and for characterizing the flow as capillary- or viscous-dominated. Main data Raw datasets acquired during the laboratory study, organized in 12 log files, each pertaining to a complete cycle of flow rate ratio scanning under constant volumetric flux of the WP or, equivalently, to constant capillary number value of the WP. In particular, 12 files with the generic name FC770_/A/_/B/.tar.gz, Table I, where /A/ and /B/ parameters indicate the Ca values and the corresponding WP volumetric fluxes examined per constant-Ca experiment (Table I) as follows. Each of the 12 data files contains measured values of the volumetric fluxes of the WP, qw, and the NWP, qn, as well as the corresponding pressures, Pw and Pn, at the inlet ports of the microfluidic network. Procedure followed for each constant–Ca experiment The term “experiment” pertains to a complete cycle of co-injecting the two phases at constant WP volumetric flux but with successive increases of the NWP flux. For every experiment, a fixed capillary number value, Cai, i = 1,…,12, is maintained, whereas the flow rate ratio takes successive values, rj, spanning across a domain between 0.1 and 10. The domain of flow conditions in the entire set of experiments is depicted in Karadimitriou et al., 2023, Figure 2. The typical cycle in every experiment comprises the following interventions: The micromodel is initially saturated with the WP. Then, both phases are injected into the microfluidic pore network. The WP is injected at a fixed volumetric flux to maintain a constant value of the capillary number, Ca, during the entire cycle of the experiment. The volumetric flux of the NWP starts at approximately one-tenth of the WP flux, and it is increased in successive steps (about 9 to 12) to 10 times larger; the result is approximately three orders of magnitude in successive increments. Initial co-injection is considered as primary drainage type. Successive co-injections at increasing steps of constant volumetric flux of the NWP are considered as secondary drainage type. In particular, there are two particular experiments that need to be referenced: Experiment with Ca=3.83×10–5, was run two times to check repeatability. Experiment with Ca=4.79×10-5, whereby the flux of the NWP was increased rj ∈ {0.2, 1.0, 2.0, 10.0} and then decreased, rj ∈ {10.0, 8.0, 5.0, 0.8, 0.2}, and the co-injection type evolved from drainage to imbibition. After each step-up of the NWP flux, an adequate period of time is allowed for the interstitial flow to reach a steady state. As soon as the time-averaged pressure values showed signs of stabilization for both phases (kinetic stabilization), the entire microfluidic network was visually inspected in order to cross-check that the interstitial flow was also stabilized, or any fluctuations showed some kind of sustainable, short-cycle periodicity. Following the establishment of steady-state conditions in the interstitial flow, the volumetric flux of the non-wetting phase was stepwise increased. After successive repeats with progressive stepwise increments of the volumetric flux of the NWP, the latter would have reached values ~10 times the value of the WP, corresponding to a flow rate ratio value, r = 10. Then, the experiment for that particular constant-Ca value stops. The system was then reconfigured to accommodate the next set of steady-state two-phase flows at a different constant-Ca value (constant WP flux, qw value). A new experiment pertaining to a new Ca value, repeating a new cycle as described above, is deployed. Details on technical aspects of the materials (equipment, fluids, pore network) and the deployment of the experiments can be found in the paper by Karadimitriou et al. (2023) CETONI QMixElements, v20190108
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18419/darus-2816&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18419/darus-2816&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:DaRUS Class, Holger; Bürkle, Pascal; Trötschler, Oliver; Zimmer, Martin; Strauch, Bettina;doi: 10.18419/darus-2040
Summary: Data of the "density-driven dissolution of CO2 in karst water" column experiment. A laboratory column was filled with tapwater (water level 5,55 m) and exposed it to an elevated gaseous CO2-concentration, roughly 50 times the current atmospheric concentration (20000 +/- 5000 ppm). After stripping the water with ambient air, it was initially in equilibrium with atmospheric conditions. Then, the concentration of dissolved CO2 was measured over a time period of 60 days in two different depths in the column. Measuring points are in the column air, 1 m below water level and 0,15 m above ground. CO2-air concentration was provided using an air-membrane pump (KNF N86 KTE) and a 100 l TEDLAR bag (for more detailed information look into the related publication Class 2021 et al.) Raw Data: Raw data provided by GMP252 CO2 sensor probes, data accessed from ADL-MX Advanced Datalogger via ADL-C software Sensor positions: CO2_10: column air CO2_20: 1 m below water surface CO2_40: 0.15 m above ground/5.40 m below water surface Processed Data: Processed Data calculated after formula in the related publication Class 2021 et al. MC: manufacturer correction OC: own correction Sherwood: Calculations for Sherwood number. The density was calculated by an approach of Garcia 2001 For further information look into the related publication Class 2021 et al. Buerkle2021a: The dumux-pub module used to simulate the different scenarios in the related publication Class 2021 et al.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18419/darus-2040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18419/darus-2040&type=result"></script>'); --> </script>
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Research data keyboard_double_arrow_right Dataset 2023Publisher:DaRUS Keim, Leon; Class, Holger; Schirmer, Larissa; Wendel, Kai; Strauch, Bettina; Zimmer, Martin;doi: 10.18419/darus-3271
This dataset contains data generated during the measurement campaign inside the karst cave. The CO2 sensors in the cave air will continue to measure (as of Feb. 2023). For details on the site etc. see https://doi.org/10.3390/geosciences13020051 To create the graphs in the Class et al. 2023 Download cave-data.tar.xz, make sure you have the dependencies shown in requirements_paper_2022.txt. Then one can recreate the graphs by running the jupyter-notebook in that directory. Structure of the dataset: cave-data.tar.xz: contains the data produced during the measurement campaign. Additionally, all the figures of (todo: add paper doi) are created here. grid_const.tar.gz: contains the data generated by the grid study with constant CO2 concentration at the top. grid_data.tar.gz: contains the data generated by the grid study with measured CO2 concentration at the top 3D.tar.gz: contains data generated by the 2D and 3D comparison cave_sims.tar.gz: contains details on the simulation of the whole column. Specifically, figures and a video on the development of vortex cascades. requirements_paper_2022.txt: contains python modules for the post-processing. The main focus of this dataset lies on the data generated in the cave. Items in cave-data.tar.xz are: Raw_data contains the CO2(g) and pressure measurements in csv files. DWD_data contains the pressure,temperature and precipitation data from the DWD ('Deutscher Wetterdienst'). Pressure/temperature is measured in Stötten (30km apart) and precipitation is measured in Westerheim (5km apart). Control_data_temperature contains the temperature data from additional temperature sensors. This data is used for comparison only. Control_data_CO2 contains the CO2(g) data from additional CO2(g) sensors. This data is used for comparison only. Sim_data contains results from various simulations. The script Cave_measures_sim_plot.ipynb contains the code to process and visualize the data. Furthermore, the titration results are directly written into the script. Python, 3.9
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18419/darus-3271&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18419/darus-3271&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2022Publisher:DaRUS Authors: Karadimitriou, Nikolaos; Steeb, Holger; Valavanides, Marios;Karadimitriou, Nikolaos; Steeb, Holger; Valavanides, Marios;doi: 10.18419/darus-2816
The current repository contains raw data collected during a systematic laboratory study, examining the flow rate dependency of steady-state, co-injection of two-immiscible fluids within a microfluidic pore network model. The study is presented in the paper by Karadimitriou et al., 2023. The two fluids were the wetting phase (WP), FluorinertTM, FC770, and the non-wetting phase (NWP), deionized water mixed with ink. The two fluids were co-injected through a Poly-Di-Methyl-Siloxane (PDMS) micromodel. The objective of the study was to validate, as a proof of concept, the theoretically developed, generic, relative permeability scaling model taking into account the flow rate dependency. Also to verify the capability of detecting various invariant characteristic properties of the two-fluid and pore network system, such as the locus of flow conditions of equal relative permeabilities, the locus of critical flow conditions, and the intrinsic dynamic capillary pressure (IDCP) curve. Applications-wise, the degree of consistency between flow rate ratio and mobility ratio values, the IDCP curve, the locus of critical flow conditions, and the locus of equal relative permeabilities, as well as some associated invariant characteristic values, can be used for assessing the extent of end effects and for characterizing the flow as capillary- or viscous-dominated. Main data Raw datasets acquired during the laboratory study, organized in 12 log files, each pertaining to a complete cycle of flow rate ratio scanning under constant volumetric flux of the WP or, equivalently, to constant capillary number value of the WP. In particular, 12 files with the generic name FC770_/A/_/B/.tar.gz, Table I, where /A/ and /B/ parameters indicate the Ca values and the corresponding WP volumetric fluxes examined per constant-Ca experiment (Table I) as follows. Each of the 12 data files contains measured values of the volumetric fluxes of the WP, qw, and the NWP, qn, as well as the corresponding pressures, Pw and Pn, at the inlet ports of the microfluidic network. Procedure followed for each constant–Ca experiment The term “experiment” pertains to a complete cycle of co-injecting the two phases at constant WP volumetric flux but with successive increases of the NWP flux. For every experiment, a fixed capillary number value, Cai, i = 1,…,12, is maintained, whereas the flow rate ratio takes successive values, rj, spanning across a domain between 0.1 and 10. The domain of flow conditions in the entire set of experiments is depicted in Karadimitriou et al., 2023, Figure 2. The typical cycle in every experiment comprises the following interventions: The micromodel is initially saturated with the WP. Then, both phases are injected into the microfluidic pore network. The WP is injected at a fixed volumetric flux to maintain a constant value of the capillary number, Ca, during the entire cycle of the experiment. The volumetric flux of the NWP starts at approximately one-tenth of the WP flux, and it is increased in successive steps (about 9 to 12) to 10 times larger; the result is approximately three orders of magnitude in successive increments. Initial co-injection is considered as primary drainage type. Successive co-injections at increasing steps of constant volumetric flux of the NWP are considered as secondary drainage type. In particular, there are two particular experiments that need to be referenced: Experiment with Ca=3.83×10–5, was run two times to check repeatability. Experiment with Ca=4.79×10-5, whereby the flux of the NWP was increased rj ∈ {0.2, 1.0, 2.0, 10.0} and then decreased, rj ∈ {10.0, 8.0, 5.0, 0.8, 0.2}, and the co-injection type evolved from drainage to imbibition. After each step-up of the NWP flux, an adequate period of time is allowed for the interstitial flow to reach a steady state. As soon as the time-averaged pressure values showed signs of stabilization for both phases (kinetic stabilization), the entire microfluidic network was visually inspected in order to cross-check that the interstitial flow was also stabilized, or any fluctuations showed some kind of sustainable, short-cycle periodicity. Following the establishment of steady-state conditions in the interstitial flow, the volumetric flux of the non-wetting phase was stepwise increased. After successive repeats with progressive stepwise increments of the volumetric flux of the NWP, the latter would have reached values ~10 times the value of the WP, corresponding to a flow rate ratio value, r = 10. Then, the experiment for that particular constant-Ca value stops. The system was then reconfigured to accommodate the next set of steady-state two-phase flows at a different constant-Ca value (constant WP flux, qw value). A new experiment pertaining to a new Ca value, repeating a new cycle as described above, is deployed. Details on technical aspects of the materials (equipment, fluids, pore network) and the deployment of the experiments can be found in the paper by Karadimitriou et al. (2023) CETONI QMixElements, v20190108
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18419/darus-2816&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18419/darus-2816&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2021Publisher:DaRUS Class, Holger; Bürkle, Pascal; Trötschler, Oliver; Zimmer, Martin; Strauch, Bettina;doi: 10.18419/darus-2040
Summary: Data of the "density-driven dissolution of CO2 in karst water" column experiment. A laboratory column was filled with tapwater (water level 5,55 m) and exposed it to an elevated gaseous CO2-concentration, roughly 50 times the current atmospheric concentration (20000 +/- 5000 ppm). After stripping the water with ambient air, it was initially in equilibrium with atmospheric conditions. Then, the concentration of dissolved CO2 was measured over a time period of 60 days in two different depths in the column. Measuring points are in the column air, 1 m below water level and 0,15 m above ground. CO2-air concentration was provided using an air-membrane pump (KNF N86 KTE) and a 100 l TEDLAR bag (for more detailed information look into the related publication Class 2021 et al.) Raw Data: Raw data provided by GMP252 CO2 sensor probes, data accessed from ADL-MX Advanced Datalogger via ADL-C software Sensor positions: CO2_10: column air CO2_20: 1 m below water surface CO2_40: 0.15 m above ground/5.40 m below water surface Processed Data: Processed Data calculated after formula in the related publication Class 2021 et al. MC: manufacturer correction OC: own correction Sherwood: Calculations for Sherwood number. The density was calculated by an approach of Garcia 2001 For further information look into the related publication Class 2021 et al. Buerkle2021a: The dumux-pub module used to simulate the different scenarios in the related publication Class 2021 et al.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18419/darus-2040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18419/darus-2040&type=result"></script>'); --> </script>
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