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Part 1: Document Description
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Citation |
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Title: |
Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns |
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Identification Number: |
doi:10.18419/darus-2227 |
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Distributor: |
DaRUS |
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Date of Distribution: |
2023-02-07 |
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Version: |
1 |
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Bibliographic Citation: |
Lee, Dongwon; Weinhardt, Felix; Hommel, Johannes; Class, Holger; Steeb, Holger, 2023, "Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns", https://doi.org/10.18419/darus-2227, DaRUS, V1 |
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Citation |
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Title: |
Time resolved micro-XRCT dataset of Enzymatically Induced Calcite Precipitation (EICP) in sintered glass bead columns |
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Identification Number: |
doi:10.18419/darus-2227 |
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Authoring Entity: |
Lee, Dongwon (University of Stuttgart) |
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Weinhardt, Felix (University of Stuttgart) |
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Hommel, Johannes (University of Stuttgart) |
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Class, Holger (University of Stuttgart) |
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Steeb, Holger (University of Stuttgart) |
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Other identifications and acknowledgements: |
Lee, Dongwon |
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Other identifications and acknowledgements: |
Weinhardt, Felix |
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Other identifications and acknowledgements: |
Hommel, Johannes |
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Other identifications and acknowledgements: |
Class, Holger |
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Other identifications and acknowledgements: |
Steeb, Holger |
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Producer: |
Porous Media Lab |
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Grant Number: |
327154368 - SFB 1313 |
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Grant Number: |
380443677 |
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Distributor: |
DaRUS |
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Access Authority: |
Steeb, Holger |
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Access Authority: |
Lee, Dongwon |
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Depositor: |
Weinhardt, Felix |
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Date of Deposit: |
2021-10-28 |
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Holdings Information: |
https://doi.org/10.18419/darus-2227 |
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Study Scope |
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Keywords: |
Computer and Information Science, Earth and Environmental Sciences, Engineering, Micro X-Ray Computed Tomography (micro-XRCT), Machine learning, Enzyme Induced Calcite Precipitation (EICP), Porous Medium |
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Abstract: |
The results of EICP (Enzyme Induced Calcite Precipitation) experiments. This dataset includes pressure measurements and 3D reconstructed X-ray images during the conducted experiments. The experiment was performed on two Borosillicates Glass beads Columns (BGC). The images were taken with so called "Low-dose" strategy by minimizing the exposure time and projection acquisition in order to boost data acquisition time (6 min / dataset). Later, the low quality of acquired images affected by adopted strategy was enhanced by ML algorithm. The codes which were used for the post-processing in order to enhance the image quality can be found at <a href = "https://doi.org/10.18419/darus-2991">https://doi.org/10.18419/darus-2991</a>. The image data was recorded at the time steps 1, 2, 4, 6, 8, 10 and 12 hours of EICP experiment. |
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Kind of Data: |
Image data |
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Kind of Data: |
Pressure data |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Studies |
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Lee, Dongwon; Steeb, Holger, 2022, "Image enhancement code: time-resolved tomograms of EICP application using 3D U-net", <a href = "https://doi.org/10.18419/darus-2991">https://doi.org/10.18419/darus-2991</a> , DaRUS |
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Related Publications |
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Citation |
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Title: |
Lee, D., Weinhardt, F., Hommel, J., Piotrovski, J., Class, H., and Steeb, H. (2022). Machine Learning assists in increasing the time resolution of X-Ray Computed Tomography applied to mineral precipitation on porous media. Scientific Reports, to be submitted. |
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Bibliographic Citation: |
Lee, D., Weinhardt, F., Hommel, J., Piotrovski, J., Class, H., and Steeb, H. (2022). Machine Learning assists in increasing the time resolution of X-Ray Computed Tomography applied to mineral precipitation on porous media. Scientific Reports, to be submitted. |
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Label: |
BGC1_cropped_histadjusted_Low_dose_data.7z |
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Text: |
Low-dose image data of BGC1 during EICP experiment (at every 2 hour) |
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Notes: |
application/x-7z-compressed |
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Label: |
BGC1_flow_pressure_log.7z |
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Text: |
Logfiles of BGC1: The initial permeability measurement (BGC1_PermBefore), the parallel injection of the reactive solutions (BGC1_ParallelInjection) and the final permeability measurement (BGC1_PermFinal) |
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Notes: |
application/x-7z-compressed |
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Label: |
BGC1_model_3D_time_series_9_predictions.zip |
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Text: |
The 1400 slices (from 4 to 1403) were used for analysis. |
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Notes: |
application/zip |
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Label: |
BGC2_cropped_histadjusted_Low_dose_data.7z |
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Text: |
Low-dose image data of BGC2 during EICP experiment (at every 2 hour) |
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Notes: |
application/x-7z-compressed |
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Label: |
BGC2_flow_pressure_log.7z |
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Text: |
Logfiles of BGC2: The initial permeability measurement (BGC2_PermBefore), the parallel injection of the reactive solutions (BGC2_ParallelInjection) and the final permeability measurement (BGC2_PermFinal) |
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Notes: |
application/x-7z-compressed |
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Label: |
BGC2_model_3D_time_series_9_predictions.zip |
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Text: |
The 1400 slices (from 4 to 1403) were used for analysis. |
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Notes: |
application/zip |