{ "directed": true, "multigraph": false, "graph": {}, "nodes": [ { "name": "drp.project", "uuid": null, "label": "BayesFracX: Processed 3D CT fracture volumes and extraction results", "order": 0, "value": { "title": "BayesFracX: Processed 3D CT fracture volumes and extraction results", "authors": [ { "email": "matheos.giakoumi@utexas.edu", "isOwner": true, "username": "mgiakoumi8899", "last_name": "Giakoumi", "first_name": "Matthaios" }, { "email": "masha@utexas.edu", "isOwner": false, "username": "masha", "last_name": "Prodanovic", "first_name": "Masa" }, { "email": "bcchang@utexas.edu", "isOwner": false, "username": "bchang", "last_name": "Chang", "first_name": "Bernard" } ], "license": "ODC-BY 1.0", "fileObjs": [], "keywords": [ "fracture extraction", "X-ray computed tomography", "digital rock", "discrete fracture networks", "Bayesian clustering" ], "projectId": "drp.project.published.DRP-1153", "coverImage": "media/DRP-1153/cover_image/FigureDPM.png", "guestUsers": [], "description": "This dataset contains the fracture volumes and BayesFracX outputs used for synthetic validation and experimental X-ray computed tomography applications of the BayesFracX fracture-extraction workflow. It includes two computer-generated synthetic fracture volumes and five segmented experimental fracture volumes obtained from existing Digital Porous Media Portal datasets: a tortuous induced fracture in granite (DPM-195), natural coal cleats (DPM-86), mechanically fractured Mancos shale (DPM-205), hydraulically fractured tight sandstone (DPM-285), and an induced fracture network in shale (DPM-443).\nBayesFracX converts pre-segmented three-dimensional fracture volumes into individually reconstructed fracture elements using point-cloud subsampling, iterative Dirichlet-process Bayesian Gaussian mixture clustering, planarity-based acceptance, and full-resolution watershed reconstruction. Each extracted element is characterized by its center, orientation, planar boundary, projected area, equivalent radius, and spatial aperture field. For each case, the analysis data include a reloadable fractures.npz checkpoint, a summary.csv table of extracted-fracture properties, and individual fracture surfaces in STL format for visualization in ParaView. The dataset supports reproduction of the BayesFracX applications and development of image-informed discrete fracture network representations.\n\nAssociated software: BayesFracX — https://github.com/MatheosG/BayesFracX\nAssociated results viewer: https://bayesfracx.github.io/\n\nAssociated publication: Giakoumi et al., BayesFracX: A Bayesian clustering-based algorithm for individual fracture extraction and DFN-ready characterization from 3D CT images. Manuscript in preparation.", "relatedDatasets": [ { "datasetLink": "https://www.doi.org/10.17612/P7V888", "datasetTitle": "Moura coal" }, { "datasetLink": "https://www.doi.org/10.17612/P7QX1X", "datasetTitle": "Fracture in granite" }, { "datasetLink": "https://www.doi.org/10.17612/P7F38T", "datasetTitle": "Fracture Patterns in Laminated Mancos Shale" }, { "datasetLink": "https://www.doi.org/10.17612/4W5E-DH86", "datasetTitle": "A full-size fracture of tight sandstone induced by water, N2 and CO2" }, { "datasetLink": "https://www.doi.org/10.17612/XQ44-CJ63", "datasetTitle": "Induced fracture network and a hydraulic fracture in a shale sample" } ], "relatedSoftware": [ { "softwareLink": "https://github.com/MatheosG/BayesFracX", "softwareTitle": "BayesFracX", "softwareDescription": "Training-free Python algorithm for individual fracture extraction and\nDFN-ready characterization from pre-segmented three-dimensional CT images." } ], "relatedPublications": [], "doi": "10.17612/7z7r-v755", "publicationDate": "2026-10-13T21:10:34.347Z" }, "projectType": null, "version": 1, "id": "NODE_ROOT" }, { "name": "drp.project.sample", "uuid": null, "label": "Synthetic_3_Fractures", "order": 0, "value": { "name": "Synthetic_3_Fractures", "source": "computer_generated", "dataType": "sample", "fileObjs": [], "description": "Synthetic_3_Fractures is a computer-generated 200 × 200 × 200 voxel volume containing three prescribed intersecting planar fractures with known orientations and apertures. The case was created as a controlled validation test for BayesFracX to assess fracture separation, orientation recovery, and spatial aperture characterization.", "porousMediaType": "other" }, "id": "NODE_drp.project.sample_3cd44397-91b0-492c-8b45-0d46bfd1f5b3" }, { "name": "drp.project.sample", "uuid": null, "label": "Synthetic_15_Fractures", "order": 1, "value": { "name": "Synthetic_15_Fractures", "source": "computer_generated", "dataType": "sample", "fileObjs": [], "description": "Synthetic_15_Fractures is a computer-generated 200 × 200 × 200 voxel volume containing fifteen prescribed planar fractures intersecting at the center of the domain. The fractures have known orientations and constant or spatially varying apertures. The case was created to evaluate BayesFracX fracture separation and geometric recovery in a more complex connected fracture network.", "porousMediaType": "other" }, "id": "NODE_drp.project.sample_5548db67-2dd7-4f12-9bf0-c48d4a08a3fc" }, { "name": "drp.project.sample", "uuid": null, "label": "DPM86", "order": 2, "value": { "name": "DPM86", "source": "natural", "dataType": "sample", "fileObjs": [], "description": "DPM86 is derived from the Digital Porous Media Portal “Moura Coal” dataset (DOI: 10.17612/P7V888). The original dataset contains micro-CT images of bituminous coal from the Moura mine. Contrast-agent imaging was used to resolve the natural cleat system and investigate its influence on porosity and permeability. This case was selected to examine the extraction of individual cleat segments with different orientations and spatial extents.", "porousMediaType": "coal" }, "id": "NODE_drp.project.sample_deee85bf-eff9-45e6-8d0f-115ba846ed9b" }, { "name": "drp.project.sample", "uuid": null, "label": "DPM195", "order": 3, "value": { "name": "DPM195", "source": "natural", "dataType": "sample", "fileObjs": [], "description": "DPM195 is derived from the Digital Porous Media Portal “Fracture in granite” dataset (DOI: 10.17612/P7QX1X). The original dataset contains X-ray CT images of a fractured granite sample from the Beishan area in northwestern China. The fracture was induced using the Brazilian technique. This case was selected to examine the decomposition of a tortuous physical fracture into locally planar fracture elements.", "porousMediaType": "granite" }, "id": "NODE_drp.project.sample_0383b93d-d15c-44b5-b956-ee63857ca85c" }, { "name": "drp.project.sample", "uuid": null, "label": "DPM205", "order": 4, "value": { "name": "DPM205", "source": "natural", "dataType": "sample", "fileObjs": [], "description": "DPM205 is derived from the Digital Porous Media Portal “Fracture Patterns in Laminated Mancos Shale” dataset (DOI: 10.17612/P7F38T). The original dataset contains X-ray microtomography images of Mancos shale samples examined through triaxial loading and ultrasonic measurements. For BayesFracX, the post-test volume 45_1_PostTest was selected to examine the separation of intersecting fracture surfaces and their branches.", "porousMediaType": "other" }, "id": "NODE_drp.project.sample_fb5fdaff-96c1-4fa4-8bb0-85128b1ce379" }, { "name": "drp.project.sample", "uuid": null, "label": "DPM285", "order": 5, "value": { "name": "DPM285", "source": "natural", "dataType": "sample", "fileObjs": [], "description": "DPM285 is derived from the Digital Porous Media Portal “A full-size fracture of tight sandstone induced by water, N2 and CO2” dataset (DOI: 10.17612/4W5E-DQ86). The original dataset contains micro-CT images of tight sandstone subjected to fracturing with water, nitrogen, and liquid or supercritical CO2. A post-fracturing volume was selected for BayesFracX to examine the extraction of locally planar elements from a hydraulic fracture whose orientation varies across the sample.", "porousMediaType": "sandstone" }, "id": "NODE_drp.project.sample_c76c70f8-c177-4cb6-af2e-f5f06d4faf4a" }, { "name": "drp.project.sample", "uuid": null, "label": "DPM443", "order": 6, "value": { "name": "DPM443", "source": "natural", "dataType": "sample", "fileObjs": [], "description": "DPM443 is derived from the Digital Porous Media Portal “Induced fracture network and a hydraulic fracture in a shale sample” dataset (DOI: 10.17612/XQ44-CJ63). The original dataset contains an induced fracture network in shale from an oil reservoir in China and has been used to investigate multiphase flow and upscaled relative permeability. 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