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Title: dfnWorks: A discrete fracture network framework for modeling subsurface flow and transport

Journal Article · · Computers and Geosciences
 [1];  [2];  [2];  [2];  [3];  [2]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Computational Earth Science Group, Earth and Environmental Sciences Div. and Center for Nonlinear Studies
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Computational Earth Science Group, Earth and Environmental Sciences Div.
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Div.

DFNWorks is a parallalized computational suite to generate three-dimensional discrete fracture networks (DFN) and simulate flow and transport. Developed at Los Alamos National Laboratory over the past five years, 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 on the basis of site specific data with the LaGriT meshing toolbox to create a high-quality computational mesh representation, specifically a conforming Delaunay triangulation suitable for high performance computing finite volume solvers, of the DFN in an intrinsically parallel fashion. Flow through the network is simulated in 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, which is an extension of the walkabout particle tracking method to determine pathlines through the DFN. Example applications of this suite in the areas of nuclear waste repository science, hydraulic fracturing and CO2 sequestration are also included.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
20140002DR; AC52-06NA25396; AC05-00OR22725
OSTI ID:
1227449
Alternate ID(s):
OSTI ID: 1237620; OSTI ID: 1245319
Report Number(s):
LA-UR-15-21231; PII: S0098300415300261
Journal Information:
Computers and Geosciences, Vol. 84, Issue C; ISSN 0098-3004
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 221 works
Citation information provided by
Web of Science

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Machine learning for graph-based representations of three-dimensional discrete fracture networks journal January 2018
Minimum Scanline-to-Fracture Angle and Sample Size Required to Produce a Highly Accurate Estimate of the 3-D Fracture Orientation Distribution journal October 2018
Advanced computation of steady-state fluid flow in Discrete Fracture-Matrix models: FEM–BEM and VEM–VEM fracture-block coupling journal July 2018
Analytical Solutions for Water–Gas flow Through 3d rock Fracture Networks Subjected to Triaxial Stresses journal June 2018
Characterizing the Impact of Fractured Caprock Heterogeneity on Supercritical CO$$_2$$ Injection journal November 2019
A Galerkin‐free/equation‐free model reduction method for single‐phase flow in fractured porous media journal February 2020
Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning journal August 2018
Robust system size reduction of discrete fracture networks: a multi-fidelity method that preserves transport characteristics journal September 2018
Contributions of 3D Printed Fracture Networks to Development of Flow and Transport Models journal September 2018
Numerical Study of Fracture Network Evolution during Nitrogen Fracturing Processes in Shale Reservoirs journal September 2018
Influence of Numerical Cementation on Multiphase Displacement in Rough Fractures journal September 2016
Review: Mathematical expressions for estimating equivalent permeability of rock fracture networks journal June 2016
Upscaled discrete fracture matrix model (UDFM): an octree-refined continuum representation of fractured porous media journal December 2019
Particle-Based Workflow for Modeling Uncertainty of Reactive Transport in 3D Discrete Fracture Networks journal November 2019
Prediction of water inflow into underground excavations in fractured rocks using a 3D discrete fracture network (DFN) model journal May 2017
Stochastic modeling of flow and conservative transport in three-dimensional discrete fracture networks journal January 2019
Evaluation of mountain slope stability considering the impact of geological interfaces using discrete fractures model journal September 2019
Stochastic modeling of flow and conservative transport in three-dimensional discrete fracture networks posted_content August 2018
Machine learning for graph-based representations of three-dimensional discrete fracture networks text January 2017
Large scale simulation of pressure induced phase-field fracture propagation using Utopia journal June 2021
3D non-conforming mesh model for flow in fractured porous media using Lagrange multipliers journal November 2019
Mesh generation and optimization from digital rock fractures based on neural style transfer journal August 2021
A Three-field Based Optimization Formulation for Flow Simulations in Networks of Fractures on Nonconforming Meshes journal January 2021
Discontinuous Boundary Elements for Fluid Flow Problems in Discrete Fracture Networks journal November 2019
Sequential geophysical and flow inversion to characterize fracture networks in subsurface systems text January 2016
Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks text January 2018
Analysis of conforming, non-matching, and polygonal methods for Darcy and advection-diffusion-reaction simulations in discrete fracture networks preprint January 2019