Emergence of Stable Laws for First Passage Times in Three-Dimensional Random Fracture Networks
We study first passage behaviors in the flow through three-dimensional random fracture networks. Network and flow heterogeneity lead to the emergence of heavy-tailed first passage time distributions that evolve with increasing distance between the start and target planes, and transition toward stabl...
| Autores: | , , , |
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| Formato: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2019 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/198395 |
| Acesso em linha: | http://hdl.handle.net/10261/198395 |
| Access Level: | acceso abierto |
| Palavra-chave: | Fracture Fracture network Electron transitions First passage time distributions Time-domain random walks Particle motions |
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oai:digital.csic.es:10261/198395 |
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Emergence of Stable Laws for First Passage Times in Three-Dimensional Random Fracture Networks Hyman, Jeffrey De Haven Dentz, Marco Hagberg, Aric A. Kang, Peter Kyungchul Fracture Fracture network Electron transitions First passage time distributions Time-domain random walks Particle motions We study first passage behaviors in the flow through three-dimensional random fracture networks. Network and flow heterogeneity lead to the emergence of heavy-tailed first passage time distributions that evolve with increasing distance between the start and target planes, and transition toward stable laws. Analysis of the spatial memory of the first passage process shows that particle motion can be quantified stochastically by a time domain random walk conditioned on the initial velocity data. This approach identifies advective tortuosity, the velocity point distribution and the average fracture link length as key quantities for the prediction of first passage times. Using this approach, we develop a theory for the evolution of first passage times with increasing distance between the start and target planes and the convergence towards stable laws. © 2019 American Physical J.D.H. and A.H. are thankful for support from the US Department of Energy through the Los Alamos National Laboratory. Specifically, support through the Laboratory-Directed Research and Development Program grants 20180621ECR and 20170103DR. Los Alamos National Laboratory is operated by Triad National Security, LLC, for the National Nuclear Security Administration of U.S. Department of Energy (Contract No. 89233218CNA000001). J.D.H. also thanks the partial support of DOE’s Office of Science Basic Energy Sciences E3W1. M.D. gratefully acknowledges the support of the European Research Council (ERC) through the project MHetScale (617511). P.K.K. acknowledges a grant from the Korea Environment Industry & Technology Institute (KEITI) through Subsurface Environmental Management (SEM) Project, funded by the Korea Ministry of Environment (MOE) (2018002440003). Peer reviewed American Physical Society http://hdl.handle.net/10261/198395 |
| title |
Emergence of Stable Laws for First Passage Times in Three-Dimensional Random Fracture Networks |
| spellingShingle |
Emergence of Stable Laws for First Passage Times in Three-Dimensional Random Fracture Networks Hyman, Jeffrey De Haven Fracture Fracture network Electron transitions First passage time distributions Time-domain random walks Particle motions |
| title_short |
Emergence of Stable Laws for First Passage Times in Three-Dimensional Random Fracture Networks |
| title_full |
Emergence of Stable Laws for First Passage Times in Three-Dimensional Random Fracture Networks |
| title_fullStr |
Emergence of Stable Laws for First Passage Times in Three-Dimensional Random Fracture Networks |
| title_full_unstemmed |
Emergence of Stable Laws for First Passage Times in Three-Dimensional Random Fracture Networks |
| title_sort |
Emergence of Stable Laws for First Passage Times in Three-Dimensional Random Fracture Networks |
| author |
Hyman, Jeffrey De Haven |
| author_facet |
Hyman, Jeffrey De Haven Dentz, Marco Hagberg, Aric A. Kang, Peter Kyungchul |
| author_role |
author |
| author2 |
Dentz, Marco Hagberg, Aric A. Kang, Peter Kyungchul |
| author2_role |
author author author |
| topic |
Fracture Fracture network Electron transitions First passage time distributions Time-domain random walks Particle motions |
| topic_facet |
Fracture Fracture network Electron transitions First passage time distributions Time-domain random walks Particle motions |
| description |
We study first passage behaviors in the flow through three-dimensional random fracture networks. Network and flow heterogeneity lead to the emergence of heavy-tailed first passage time distributions that evolve with increasing distance between the start and target planes, and transition toward stable laws. Analysis of the spatial memory of the first passage process shows that particle motion can be quantified stochastically by a time domain random walk conditioned on the initial velocity data. This approach identifies advective tortuosity, the velocity point distribution and the average fracture link length as key quantities for the prediction of first passage times. Using this approach, we develop a theory for the evolution of first passage times with increasing distance between the start and target planes and the convergence towards stable laws. © 2019 American Physical |
| publishDate |
2019 |
| format |
article |
| status_str |
acceptedVersion |
| url |
http://hdl.handle.net/10261/198395 |
| eu_rights_str_mv |
openAccess |
| publisher |
American Physical Society |
| institution |
Consejo Superior de Investigaciones Científicas (CSIC) |
| collection |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| reponame_str |
DIGITAL.CSIC. Repositorio Institucional del CSIC |
| instname_str |
Consejo Superior de Investigaciones Científicas (CSIC) |
| _version_ |
1878433501588488192 |
| publishDateSort |
2019 |
| author_browse |
Dentz, Marco Hagberg, Aric A. Hyman, Jeffrey De Haven Kang, Peter Kyungchul |
| publisherStr |
American Physical Society |
| score |
6,924472 |