A new scripting library for modeling flow and transport in fractured rock with channel networks

Dessirier, Benoît; Tsang, Chin‐Fu; Niemi, Auli

doi:10.1016/j.cageo.2017.11.013

Cited by 14 publications

(15 citation statements)

References 37 publications

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“…This indicates that the averaged‐ensemble model results may be derived after a large number of SFG realizations of assigned rock fracture permeabilities and lengths, for instance, 500 in the study by Dessirier et al. (2018). However, equating predicted ensemble‐averages of spatial concentration moments to the experimental pollutant plume (i.e., the ergodic assumption) is possible only when the initial volume size occupied by the pollutant plume (i.e., field data) is large enough to capture all the relevant spatial correlation scales of heterogeneities that have been involved during groundwater flow and transport simulations in the studied aquifer (Sposito, 1997).…”

Section: Uncertainty In Df Model Resultsmentioning

confidence: 95%

“…GFG are suitable in deterministic DF model simulations whereas during stochastic DF model simulations that are based on ensemble averages of DFN domains, multiple SFG realizations are required (Berkowitz, 2002). Thus, several successive Monte Carlo runs accounting for the conductive or non-conductive probability trends of grid node neighboring fractures (or channels) are required until the experimental values, that is, fracture length and conductance (Dessirier et al, 2018) are met. Sandve et al (2014) proposed DFN improvements using "preconditioners", that is, the mass conservation property and real fracture geometry, for preserving the representative flow characteristics of rock formations during the simulation upscaling.…”

Section: Equivalent Fracture Pattern Generationmentioning

confidence: 99%

Section: Equivalent Fracture Pattern Generationmentioning

confidence: 99%

See 2 more Smart Citations

Hydrogeological Models of Water Flow and Pollutant Transport in Karstic and Fractured Reservoirs

Masciopinto¹,

Passarella²,

Caputo³

et al. 2021

Water Resources Research

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Water flow and solute transport models in fractured aquifers and rock outcrops have been extensively studied during the last 40 years. Many of these studies have focused on specific bedrock formations, such as the Stripa mine and Äspö Island, in Sweden, or the Yucca Mountain of Nevada, USA (Doughty, 1999), where radionuclide repositories have the potential to release radioactive pollutants into groundwater and/or surface water and pose a threat to human health. In particular, several studies concerning flow and transport models in fractured media have been published between 1980 and 2000(Moreno & Neretnieks, 1993Tsang et al., 2015). These studies mostly focused on fractured formations with few or discrete fractures (DF),

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Section: Uncertainty In Df Model Resultsmentioning

confidence: 95%

Section: Equivalent Fracture Pattern Generationmentioning

confidence: 99%

Section: Equivalent Fracture Pattern Generationmentioning

confidence: 99%

See 1 more Smart Citation

Hydrogeological Models of Water Flow and Pollutant Transport in Karstic and Fractured Reservoirs

Masciopinto¹,

Passarella²,

Caputo³

et al. 2021

Water Resources Research

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show abstract

“…Consequently, stochastic investigations are universally conducted to describe fractured media and to account for associated uncertainties [9,14]. Due to the large number of forward simulations required by stochastic studies, highly efficient and accurate numerical methods and mesh generation approaches are needed [15][16][17][18][19]. To numerically model fractured systems, two method classes are widely used, continuum models and discrete fracture models.…”

Section: Introductionmentioning

confidence: 99%

Comparison and Application of non-Conforming Mesh Models for Flow in Fractured Porous Media using dual {L}agrange multipliers

Zulian¹,

Schädle²,

Karagyaur³

et al. 2020

Preprint

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Geological settings with reservoir characteristics include fractures with different material and geometrical properties. Hence, numerical simulations in applied geophysics demands for computational frameworks which efficiently allow to integrate various fracture geometries in a porous medium matrix. This study presents a modeling approach for single-phase flow in fractured porous media and its application to different types of non-conforming mesh models. We propose a combination of the Lagrange multiplier method with variational transfer to allow for complex non-conforming geometries as well as hybrid-and equi-dimensional models and discretizations of flow through fractured porous media. The variational transfer is based on the L 2 -projection and enables an accurate and highly efficient parallel projection of fields between non-conforming meshes (e.g., between fracture and porous matrix domain). We present the different techniques as a unified mathematical framework with a practical perspective. By means of numerical examples we discuss both, performance and applicability of the particular strategies. Comparisons of finite element simulation results to widely adopted 2D benchmark cases show good agreement and the dual Lagrange multiplier spaces show good performance. In an extension to 3D fracture networks, we first provide complementary results to a recently developed benchmark case, before we explore a complex scenario which leverages the different types of fracture meshes. Complex and highly conductive fracture networks are found more suitable in combination with embedded hybrid-dimensional fractures. However, thick and blocking fractures are better approximated by equi-dimensional embedded fractures and the equi-dimensional mortar method, respectively.

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“…It is notable that, more recently, efforts in DFN modeling have included efforts to simplify fracture networks into structures akin to channel networks using graph-theory and topological analysis (e.g., Hyman et al, 2018). Variants of CNM that have gathered significant interest to represent deep crystalline rock systems with low overall hydraulic conductivity include the sparse channel network, with sparsely populated lattice networks, which contains a small set of long channels separated from each other at a large spacing but can still interact with each other at intersections (e.g., Black & Barker, 2018;Dessirier et al, 2018;Shahkarami et al, 2019). Black et al (2017) suggested, for example, that the convergent flow around underground openings can be explained by the sparse CNM.…”

mentioning

confidence: 99%

Channel Network Modeling of Flow and Transport in Fractured Rock at the Äspö HRL: Data‐Worth Analysis for Model Development, Calibration and Prediction

Dessirier

Sharma

Pedersen

et al. 2023

Water Resources Research

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Performance assessment of nuclear waste disposal in deep crystalline bedrock demands a thorough understanding of the related flow and transport processes. Uncertainties may arise both from the selection of the conceptual model as well as the estimation of the related model parameters. Discrete fracture network (DFN) models are widely used for such modeling while channel network models (CNM) provide an alternative representation, the latter focusing on the fact that flow and transport in deep fractured media often are dominated by a small number of long preferential flow paths. This study applies the principle of channel networks, implemented in the Pychan3d simulator, to analyze the hydraulic and tracer transport behavior in a 450‐m‐deep fractured granite system at the Äspö Hard Rock Laboratory in Sweden, where extensive site characterization data, including hydraulic and tracer test data are available. Semi‐automated calibration of channel conductances to field characterization data (flow rates, drawdowns, and tracer recoveries) is performed using PEST algorithm. It was observed that an optimal CNM connectivity map for channel conductance calibration can only be developed by jointly fitting flow rates, drawdowns and tracer mass recovery values. Results from data‐calibrated CNM when compared to a corresponding calibrated DFN model shows that the CNM calibrates and adapts better than a DFN model with uniform fracture surfaces. This comparative study shows the differences and uncertainties between two models as well as examines the implications of using them for long term model predictions.

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A new scripting library for modeling flow and transport in fractured rock with channel networks

Cited by 14 publications

References 37 publications

Hydrogeological Models of Water Flow and Pollutant Transport in Karstic and Fractured Reservoirs

Hydrogeological Models of Water Flow and Pollutant Transport in Karstic and Fractured Reservoirs

Comparison and Application of non-Conforming Mesh Models for Flow in Fractured Porous Media using dual {L}agrange multipliers

Channel Network Modeling of Flow and Transport in Fractured Rock at the Äspö HRL: Data‐Worth Analysis for Model Development, Calibration and Prediction

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