Abstract

Fractures are major flow paths for solute transport in fractured rocks. Conducting numerical simulations of reactive transport in fractured rocks is a challenging task because of complex fracture connections and the associated nonuniform flows and chemical reactions. The study presents a computational workflow that can approximately simulate flow and reactive transport in complex fractured media. The workflow involves a series of computational processes. Specifically, the workflow employs a simple particle tracking (PT) algorithm to track flow paths in complex 3D discrete fracture networks (DFNs). The PHREEQC chemical reaction model is then used to simulate the reactive transport along particle traces. The study illustrates the developed workflow with three numerical examples, including a case with a simple fracture connection and two cases with a complex fracture network system. Results show that the integration processes in the workflow successfully model the tetrachloroethylene (PCE) and trichloroethylene (TCE) degradation and transport along particle traces in complex DFNs. The statistics of concentration along particle traces enables the estimations of uncertainty induced by the fracture structures in DFNs. The types of source contaminants can lead to slight variations of particle traces and influence the long term reactive transport. The concentration uncertainty can propagate from parent to daughter compounds and accumulate along with the transport processes.

Highlights

  • Fractures are important flow paths for solute transport in fractured rocks

  • The statistical structures of the fractures enable the generations of discrete fracture networks (DFNs) for flow and transport simulations

  • Case to illustrate the developed workflow for modeling flow and reactive transport in peakWe (MUP)

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Summary

Introduction

Fractures are important flow paths for solute transport in fractured rocks. Typical approaches to obtain the fracture properties rely on building statistical structures of the fractures that are similar to those of scanline or window samplings on sites. The statistical structures of the fractures enable the generations of discrete fracture networks (DFNs) for flow and transport simulations. Investigations have reported that the challenges came with the technical issues in meshing DFNs and in solving flow and transport equations for DFNs [5,6,7]. The flow and concentration uncertainty problems due to variation is a common issue and has been considered to quantify the impact on heterogeneous aquifer systems [8,9,10]

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