Miscible viscous fingering in a quarter-spot Hele-Shaw cell: Experimental dataset

This is the experimental dataset associated with the paper 'The effect of viscosity ratio and Peclet number on miscible viscous fingering in a Hele-Shaw cell: A combined numerical and experimental study' by Keable et al. 2021 - preprint available at https://arxiv.org/abs/2111.06548. This repository includes image and volumetric data described in the main paper. The images are used in the processing code available at https://github.com/sci-sjj/MiscibleViscousFingering.

Images are included for M2, M5, M10 and M20 mobility ratios, performed at flowrate Q = 1ml/min. For M=20, we also include Q=0.1ml/min (filename M20_0_1mlpm), Q=0.5ml/min (filename M20_0_5mlpm), Q=5ml/min (filename M20_5mlpm) and Q=10ml/min (filename M20_10mlpm). Multiple repeat experiments are given filename extension v2, v3 etc (some experiments did not work so there may be missing v1 etc, extensions). The experiments at each flow rate and mobility ratio then have the following zipped folders containing images:

_exp_images_time_lapse_raw.zip. These are the raw image files.

_exp_images_time_lapse_processed.zip. These are cropped images from 1. 

_exp_images_time_lapse_final.zip. These are geometric transforms of 2, to be centered and aligned. They represent the final processed images.

_exp_images_selected_PV.zip. These are selected images from 3 at different pore-volumes injection and times as a fraction of the breakthrough time.

_exp_images_time_lapse_segmented.zip. These are segmented images used in interfacial calculations. 

Each image file in the above zipped folders follows the same prefix naming convention (e.g. M2_V2) followed by a number, e.g. (1000). Time sequences start at number 1000. Image capture times can be found in the image properties of the raw details to give aquisition rates. Full experimental details are listed in the paper, and also in the excel summary files on the github repository above. 

We include simulation image results, txt based macroscopic experimental results and literature results in zipped folders. These can be run using the github processing codes to produce the figures/analysis in the main paper.