Welcome To dfnWorks
dfnWorks is a parallelized computational suite to generate three-dimensional discrete fracture networks (DFN) and simulate flow and transport. Developed at Los Alamos National Laboratory, it has been used to study flow and transport in fractured media at scales ranging from millimeters to kilometers. The networks are created and meshed using dfnGen, which combines FRAM (the feature rejection algorithm for meshing) methodology to stochastically generate three-dimensional DFNs with the LaGriT meshing toolbox to create a high-quality computational mesh representation. The representation produces a conforming Delaunay triangulation suitable for high-performance computing finite volume solvers in an intrinsically parallel fashion. Flow through the network is simulated with dfnFlow, which utilizes the massively parallel subsurface flow and reactive transport finite volume code PFLOTRAN. A Lagrangian approach to simulating transport through the DFN is adopted within dfnTrans to determine pathlines and solute transport through the DFN. Applications of the dfnWorks suite include nuclear waste repository science, hydraulic fracturing and CO2 sequestration.
To run a workflow using the dfnWorks suite, the pydfnworks package is highly recommended. pydfnworks calls various tools in the dfnWorks suite with the aim to provide a seamless workflow for scientific applications of dfnWorks.
Obtaining dfnWorks
dfnWorks can be downloaded from https://hub.docker.com/r/ees16/dfnworks
dfnWorks can be downloaded from https://github.com/lanl/dfnWorks/
v1.0 can be downloaded from https://github.com/dfnWorks/dfnWorks-Version1.0
Citing dfnWorks
BibTex:
@article{hyman2015dfnWorks,
title={dfnWorks: A discrete fracture network framework
for modeling subsurface flow and transport},
author={Hyman, Jeffrey D and Karra, Satish and Makedonska,
Nataliia and Gable, Carl W and Painter, Scott L
and Viswanathan, Hari S},
journal={Computers \& Geosciences},
volume={84},
pages={10--19},
year={2015},
publisher={Elsevier}
}
Versions
v2.7
Python based assignment of domain parameters, fracture families, user defined fractures
Interactive object interface
Updated for PFLOTRAN 4.0 compatability
Additional bug fixes
Increased detail of warning and errors
v2.6
Hydraulic aperture of fracture based on background stress field
Bug fixes
v2.5
New Generation parameters, family orientation by trend/plunge and dip/strike
Define fracture families by region
Updated output report
v2.4
New meshing technique (Poisson disc sampling)
Define fracture families by region
Updated output report
Well Package
v2.3
Bug fixes in LaGrit Meshing
Bug fixes in dfnTrans checking
Bug fixes in dfnTrans output
Expanded examples
Added PDF printing abilities
v2.2
pydfnWorks updated for python3
Graph based (pipe-network approximations) for flow and transport
Bug fixes in LaGrit Meshing
Increased functionalities in pydfnworks including the path option
dfn2graph capabilities
FEHM flow solver
Streamline routing option in dfnTrans
Time Domain Random Walk in dfnTrans
v2.1
Bug fixes in LaGrit Meshing
Increased functionalities in pydfnworks including the path option
v2.0
New dfnGen C++ code which is much faster than the Mathematica dfnGen. This code has successfully generated networks with 350,000+ fractures.
Increased functionality in the pydfnworks package for more streamlined workflow from dfnGen through visualization.
About this manual
This manual comprises of information on setting up inputs to dfnGen, dfnTrans
and PFLOTRAN, as well as details on the pydfnworks module: pydfnworks. Finally, the manual contains a short tutorial
with prepared examples that can be found in the examples
directory of the
dfnWorks repository, and a description of some applications of the dfnWorks
suite.
Contact
Please email dfnworks@lanl.gov with questions about dfnWorks. Please let us know if you publish using dfnWorks and we’ll add it to the Publication Page
Contributors
LANL
Jeffrey D. Hyman
Matt Sweeney
Nataliia Makedonska
Carl Gable
Hari Viswanathan
Aric Hagberg
Shriram Srinivasan
Aidan Stansberry
External
Satish Karra (PNNL)
Scott Painter (ORNL)
Quan Bui (now at LLNL)
Jeremy Harrod (now at Spectra Logic)
Thomas Sherman (University of Notre Dame)
Johannes Krotz (Oregon State University)
Yu Chen
Copyright Information
Documentation:
LA-UR-17-22216
Software copyright:
LA-CC-17-027
Contact Information : dfnworks@lanl.gov
(or copyright) 2018 Triad National Security, LLC. All rights reserved.
This program was produced under U.S. Government contract 89233218CNA000001 for Los Alamos National Laboratory (LANL), which is operated by Triad National Security, LLC for the U.S. Department of Energy/National Nuclear Security Administration.
All rights in the program are reserved by Triad National Security, LLC, and the U.S. Department of Energy/National Nuclear Security Administration. The Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable worldwide license in this material to reproduce, prepare derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so.
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Additionally, this program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. Accordingly, this program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
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Additionally, this program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. Accordingly, this program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.