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Data and code repository for From points to planes: A workflow for converting three-dimensional point cloud data into discrete fracture network flow and transport models
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| Type: | Resource | |
| Storage: | The size of this resource is 284.3 MB | |
| Created: | Nov 03, 2025 at 6:13 p.m. (UTC) | |
| Last updated: | Mar 23, 2026 at 2:53 p.m. (UTC) (Metadata update) | |
| Published date: | Mar 23, 2026 at 2:53 p.m. (UTC) | |
| DOI: | 10.4211/hs.7cfcb78ed48e4281974b206959ed6f23 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 331 |
| Downloads: | 23 |
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Abstract
We present the Point cLoud Algorithm for NEtwork Extraction of Discrete Fracture Networks (PLANE-DFN), a point cloud–based algorithm for automatic fracture network extraction designed to support discrete fracture network (DFN) modeling workflows. PLANE-DFN segments three-dimensional fracture planes from raw point cloud data using RANdom SAmple Consensus (RANSAC) coupled with statistical outlier removal and density-based clustering to isolate individual fracture features. Each candidate plane is constrained against site-specific structural constraints based on strike and dip. After segmentation, each fracture is converted into a 2-D convex polygon suitable for meshing and simulation. The PLANE-DFN algorithm is validated by comparing geometric and flow and transport data against data from dfnWorks simulations with ensembles of plane-fit networks. We find that the flow and transport in plane-fit networks are comparable to dfnWorks-generated networks when realistic network geometry is maintained. The PLANE-DFN algorithm provides an automated and streamlined workflow to transform point clouds of data into DFN network geometry.
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Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| United States Department of Energy | Center for Understanding Subsurface Signals and Permeability | FWP 81834 |
| U.S. National Science Foundation | None | EAR 2437912 |
| United States Department of Energy | Basic Energy Sciences program | LANLE3W1 |
| United States Department of Energy | Center on Geo-process in Mineral Carbon Storage | DE-SC0023429 |
| United States Department of Energy | Office of Science Graduate Student Research Program | DE-SC0014664 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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