Characterizing Reactive Transport Behavior in a Three-Dimensional Discrete Fracture Network

被引:11
作者
Sherman, Thomas [1 ,2 ]
Sole-Mari, Guillem [3 ,4 ]
Hyman, Jeffrey [5 ]
Sweeney, Matthew R. [5 ,6 ]
Vassallo, Daniel [2 ,7 ]
Bolster, Diogo [7 ]
机构
[1] FTS Int LLC, Dulles, VA 20166 USA
[2] CRCL Solut LLC, Div Environm Res, Louisville, KY 40204 USA
[3] Lawrence Berkeley Natl Lab, Energy Geosci Div, Berkeley, CA USA
[4] Univ Politecn Cataluna, Dept Civil & Environm Engn, Barcelona, Spain
[5] Los Alamos Natl Lab, Earth & Environm Sci Div, Computat Earth Sci Grp EES 16, Los Alamos, NM 87545 USA
[6] Los Alamos Natl Lab, Theoret Div, Ctr Nonlinear Studies, Los Alamos, NM 87545 USA
[7] Univ Notre Dame, Dept Civil & Environm Engn & Earth Sci, Notre Dame, IN 46556 USA
关键词
LAGRANGIAN TRANSPORT; HYDRAULIC-PROPERTIES; ANOMALOUS TRANSPORT; POROUS-MEDIA; MARKOV MODEL; DISPERSION; LENGTH; FLOW; BIODEGRADATION; CONNECTIVITY;
D O I
10.1007/s11242-021-01568-4
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
While several studies have linked network and in-fracture scale properties to conservative transport behavior in subsurface fractured media, studies on reactive transport cases remain relatively underdeveloped. In this study, we explore the behavior of an irreversible kinetic reaction during the interaction of two solute plumes, one consisting of species A and the other species B. When the plumes converge, these species react kinetically to form a new species C via A + B -> C. This reactive system is studied using a three-dimensional discrete fracture network (DFN) model coupled with reactive Lagrangian particle tracking. We find that the interplay of network topology and chemical properties of the reactive solutes controls reactive transport processes. The network topology drives species A and B together, and the chemical properties dictate whether and how quickly a reaction occurs. Results demonstrate that reactions are most likely to occur in high-velocity fractures that make up the network backbone. The interplay between species' chemical properties and transport is characterized by a non-dimensional Damkohler (Da) number. We show that the spatial distribution of reactions is sensitive to Da, which subsequently influences late-time tailing behavior in outlet breakthrough time distributions. The results of this study provide initial insights into how an irreversible reaction occurs during transport in a fracture network, using a methodology that can be applied to study reactive transport in a wide range of fractured media environments and contexts.
引用
收藏
页码:307 / 327
页数:21
相关论文
共 50 条
[41]   Dispersion and Mixing in Three-Dimensional Discrete Fracture Networks: Nonlinear Interplay Between Structural and Hydraulic Heterogeneity [J].
Hyman, J. D. ;
Jimenez-Martinez, J. .
WATER RESOURCES RESEARCH, 2018, 54 (05) :3243-3258
[42]   A three-dimensional level set simulation of coupled reactive transport and precipitation/dissolution [J].
Li, Xiaoyi ;
Huang, Hai ;
Meakin, Paul .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2010, 53 (13-14) :2908-2923
[43]   Is transverse macrodispersivity in three-dimensional groundwater transport equal to zero? A counterexample [J].
Jankovic, Igor ;
Steward, David R. ;
Barnes, Randal J. ;
Dagan, Gedeon .
WATER RESOURCES RESEARCH, 2009, 45
[44]   Analytical Solutions to Three-Dimensional Reactive Contaminant Transport Problems Involving Point, Line, and Area Sources [J].
Sangani, Jhansi ;
Srivastava, Antriksh ;
Srinivasan, Venkatraman .
TRANSPORT IN POROUS MEDIA, 2022, 144 (03) :641-667
[45]   Shear-flow coupling characteristics of a three-dimensional discrete fracture network-fault model considering stress-induced aperture variations [J].
Huang, Na ;
Liu, Richeng ;
Jian, Yujing ;
Cheng, Yuanfang ;
Li, Bo .
JOURNAL OF HYDROLOGY, 2019, 571 :416-424
[46]   Intelligent construction method and application of large-scale three-dimensional complex discrete fracture network model based on particle swarm optimization algorithm [J].
Sun, Zhe ;
Wang, Hanxun ;
Zhang, Bin ;
Li, Yutao ;
Peng, Zhenhua ;
Zhang, Shengqing .
COMPUTERS AND GEOTECHNICS, 2024, 171
[47]   Machine learning for graph-based representations of three-dimensional discrete fracture networks [J].
Valera, Manuel ;
Guo, Zhengyang ;
Kelly, Priscilla ;
Matz, Sean ;
Cantu, Vito Adrian ;
Percus, Allon G. ;
Hyman, Jeffrey D. ;
Srinivasan, Gowri ;
Viswanathan, Hari S. .
COMPUTATIONAL GEOSCIENCES, 2018, 22 (03) :695-710
[48]   Three-dimensional simulations of fracture dissolution [J].
Starchenko, Vitaliy ;
Marra, Cameron J. ;
Ladd, Anthony J. C. .
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2016, 121 (09) :6421-6444
[49]   Existence analysis of hydraulic conductivity representative elementary volume in fractured rocks based on three-dimensional discrete fracture network method [J].
Wang, Qiuyu ;
Zhang, Lili ;
Yu, Qingchun ;
Li, Haoran .
COMPUTERS AND GEOTECHNICS, 2023, 164
[50]   Emergence of Stable Laws for First Passage Times in Three-Dimensional Random Fracture Networks [J].
Hyman, Jeffrey D. ;
Dentz, Marco ;
Hagberg, Aric ;
Kang, Peter K. .
PHYSICAL REVIEW LETTERS, 2019, 123 (24)