{ "directed": true, "multigraph": false, "graph": {}, "nodes": [ { "name": "drp.project", "uuid": null, "label": "Time-Resolved 3D Synchrotron Micro-CT Fast-Scan Dataset of Bentheimer Sandstone During Dynamic Multiphase Flow", "order": 0, "value": { "title": "Time-Resolved 3D Synchrotron Micro-CT Fast-Scan Dataset of Bentheimer Sandstone During Dynamic Multiphase Flow", "authors": [ { "email": "z3486812@ad.unsw.edu.au", "isOwner": true, "username": "z3486812", "last_name": "Mathew", "first_name": "Eric Sonny" }, { "email": "z5251006@ad.unsw.edu.au", "isOwner": false, "username": "quanzheng616", "last_name": "Zheng", "first_name": "Quan" }, { "email": "michael.camilleri@csiro.au", "last_name": "Camilleri", "first_name": "Michael" }, { "email": "yufu.niu@csiro.au", "last_name": "Niu", "first_name": "Yufu" }, { "email": "bianca.brandstaetter@unileoben.ac.at", "last_name": "Brandstätter", "first_name": "Bianca " }, { "email": "kunning.tang@unsw.edu.au", "last_name": "Tang", "first_name": "Kunning" }, { "email": "m.ebadi@unsw.edu.au", "last_name": "Ebadi", "first_name": "Mohammad" }, { "email": "peyman@unsw.edu.au", "last_name": "Mostaghimi", "first_name": "Peyman" }, { "email": "ryan.armstrong@unsw.edu.au", "last_name": "Armstrong", "first_name": "Ryan T." }, { "email": "samuel.jackson@csiro.au", "last_name": "Jackson", "first_name": "Samuel" } ], "fileObjs": [], "keywords": [], "projectId": "drp.project.published.DRP-1131", "coverImage": "media/DRP-1131/cover_image/Picture1.png", "guestUsers": [ { "email": "michael.camilleri@csiro.au", "lastName": "Camilleri", "firstName": "Michael" }, { "email": "yufu.niu@csiro.au", "lastName": "Niu", "firstName": "Yufu" }, { "email": "bianca.brandstaetter@unileoben.ac.at", "lastName": "Brandstätter", "firstName": "Bianca " }, { "email": "kunning.tang@unsw.edu.au", "lastName": "Tang", "firstName": "Kunning" }, { "email": "m.ebadi@unsw.edu.au", "lastName": "Ebadi", "firstName": "Mohammad" }, { "email": "peyman@unsw.edu.au", "lastName": "Mostaghimi", "firstName": "Peyman" }, { "email": "ryan.armstrong@unsw.edu.au", "lastName": "Armstrong", "firstName": "Ryan T." }, { "email": "samuel.jackson@csiro.au", "lastName": "Jackson", "firstName": "Samuel" } ], "description": "This dataset contains time-resolved synchrotron-based micro-CT images acquired during dynamic multiphase flow experiments in Bentheimer sandstone samples under water-wet and mixed-wet conditions. The experiments were designed to investigate pore-scale hysteresis, fluid trapping behaviour, and phase connectivity during repeated drainage–imbibition cycles relevant to subsurface gas storage and recovery processes.\nThe dataset was generated to support studies of pore-scale multiphase flow physics, hysteresis in relative permeability and interfacial properties, and the development of machine learning workflows for high-speed image processing and dynamic imaging analysis.\n\nExperimental and Imaging Methods:\nDynamic multiphase flow experiments were performed using ANSTO (Australian Nuclear Science and Technology Organisation) synchrotron fast micro-CT imaging. The dataset includes reconstructed 3D image volumes acquired during repeated drainage and imbibition cycles. Imaging was performed at a voxel resolution of 3.6 µm/voxel.\nThe experiments include both raw reconstructed grayscale images and processed segmented datasets. Segmentation workflows incorporated image registration, and deep learning–assisted segmentation using a U-ResNet framework developed for artifact mitigation and rapid processing of large dynamic datasets.\nThe segmented datasets contain labelled phases representing grain, brine, and decane.\n\nThe dataset includes:\nReconstructed, processed and registered grayscale synchrotron micro-CT 3D volumes\nSegmented 3D labelled datasets\nMultiple drainage and imbibition cycles\nWater-wet and mixed-wet Bentheimer sandstone samples\nTypical reconstructed image dimensions are 1536 × 1536 × 146 voxels.\n\nQuality Check:\nFast scans were validated against corresponding slow-scan reference datasets. All fast scans were registered and resampled prior to analysis. 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