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Optical Microscopy and log data of Enzymatically Induced Calcite Precipitation (EICP) in microfluidic cells (Quasi-2D-structure)

, , , and . Dataset, (2022)Related to: Weinhardt, F.; Deng, J.; Hommel, J.; Vahid Dastjerdi, S.; Gerlach, R.; Steeb, H.; Class, H. (2022). Spatiotemporal Distribution of Precipitates and Mineral Phase Transition During Biomineralization Affect Porosity–Permeability Relationships. Transport in Porous Media 143, 527–549 (2022). doi: 10.1007/s11242-022-01782-8.
DOI: 10.18419/darus-1799

Abstract

Content: This dataset includes raw as well as processed data from three experiments (Quasi-2D-1, Quasi-2D-2 and Quasi-2D-3). Each dataset consists of the readouts from the pressure sensor(s), as logged with the use of QmixElements (Name of Experiment_logFiles_QMIX), raw images ( Name of Experiment_rawImages ), and segmented images ( Name of Experiment_segmentedImages ).*.CSV files: For each experiment three *.csv files are given in the corresponding folders ( Name of Experiment_logFiles_QMIX ): initial permeability measurement ( Name of Experiment_PermInitial ) continuous injection of reactive solution ( Name of Experiment_ContinuousInjection ) result file combined porosity and permeability data during the continuous injection ( Name of Experiment_Result )The initial permeability files (1) and the continuous injection files (2) are essentially the output of the software QMixElements which is used to operate the syringe pumps and log the pressure sensors. It consists of the timestamps, flow rates and pressure drops of the domain.In order to determine the initial permeability in a reliable way (1), a series of different flow rates was applied and the corresponding pressure drops were monitored. From that, the permeability can be calculated using Darcy's Law. From the monitored flow and pressure data in the continuous injection files (2), the permeability evolution can be calculated.The result file (3) is a combination of the processed optical microscopy images (see below for more information) and the monitored flow and pressure data. It consinsts of timestamps, flow rates, pressure drops, normalized permeabilities and porosities. Note:When estimating the permeability reduction over time during stage 2), e.g K/K0 = Δp0/Δp(t) , the initial pressure drop (Δp0) is very crucial. Small variations and uncertainties effect the estimated permeability reduction tremendously. Due to the small flow rates in the experiments, the measured initial pressure drop is very small compared to the pressure range of the sensors and falls within the error limit of the sensor itself, casting the measurements quite uncertain. Therefore, it is recommended to back calculate the initial pressure drop based on the initial permeability measurement of stage 1) and the flow rate of stage 2) Raw images: Images taken by optical microscopy are given in the folders Name of Experiment_rawImages. These are synchronized with the pressure measurements found in the log files from QMixElements, which is realized by naming each image with its corresponding timestamp: YYYY_MM_DD_hh-mm-ss. The timestamps correspond to the timestamps in the log files. Images were captured at one frame per minute. The physical resolution of the images are: 8.93 μm/pixel (Quasi-2D-1), 8.96 μm/pixel (Quasi-2D-2) and 9.31 μm/pixel (Quasi-2D-3). These were calculated based on the known length of the domain divided by the number of pixels. Segmented images: The segmented images are saved in the folders Name of Experiment_segmentedImages. Not all of the raw images were processed: The first image was used for creating a mask, then one image every 10 minutes was processed. The resulting images are segemented into three phases: void space: (black: grayscale value of 0) solid inclusions, based on the mask: (gray: grayscale value of 100)precipitates (white: grayscale value of 255)

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