NG52A:
Simulations of Dynamic Fracture Networks, Fracking, and Properties of Fractal Antennas I

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Session ID#: 34857

Session Description:
The dynamic behavior of fracture networks can be simulated by forward and inverse modeling in the presence of multi-scale data and parametric and structural uncertainty. Presentations will include collaboration between scientists from different disciplines, such as mathematical modeling, statistics, network science, field experimentation, and data analytics.

 How high volume fracking induces distributed fracturing that allows oil and gas recovery is not understood. Fracking involves many interacting physical processes, including fluid flow, rock deformation, utilization of preexisting natural fractures, and feedbacks from the evolving fracture network.

Fractal antennas use self-similar patterns to increase their perimeter by iteration over a range of length scales. Iteration produces fractal antennas that are very compact, wideband and multiband. As the number of iterations increases, the antenna operates at higher and higher frequencies. Manifestly different from traditional antenna designs, a fractal antenna can operate at multiple frequencies simultaneously.

Primary Convener:  Humberto C Godinez, Los Alamos National Laboratory, Los Alamos, NM, United States
Conveners:  Christopher Cramer Barton, Wright State University, Environmental Sciences and Chemistry, Dayton, United States, Daniel M Tartakovsky, Stanford University, Department of Energy Resources Engineering, Stanford, CA, United States and Tony C Kim, Wright-Patterson Air Force Base, Wright-Patterson, OH, United States
Chairs:  Christopher Cramer Barton, Wright State University, Environmental Sciences and Chemistry, Dayton, United States and Humberto C Godinez, Los Alamos National Laboratory, Los Alamos, NM, United States
OSPA Liaison:  Humberto C Godinez, Los Alamos National Laboratory, Los Alamos, NM, United States
Index Terms:

0609 Antennas [ELECTROMAGNETICS]
4430 Complex systems [NONLINEAR GEOPHYSICS]
5104 Fracture and flow [PHYSICAL PROPERTIES OF ROCKS]
8010 Fractures and faults [STRUCTURAL GEOLOGY]

Abstracts Submitted to this Session:

Graph Representations of Flow and Transport in Fracture Networks using Machine Learning (Invited) (218186)
Gowri Srinivasan1, Hari Selvi Viswanathan2, Satish Karra3, Daniel O'Malley2, Humberto C Godinez1, Aric Hagberg3, David Osthus3 and Jamal Mohd-Yusof3, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Los Alamos National Laboratory, Earth and Environmental Sciences Division, Los Alamos, United States, (3)Los Alamos National Laboratory, Los Alamos, United States
Dynamic characterisation of the specific surface area for fracture networks (Invited) (248294)
Vladimir Cvetkovic, Royal Institute of Technology, Department of Sustainable Development, Environmental Science and Engineering, Stockholm, Sweden
Non-Newtonian fluid flow in 2D fracture networks (235875)
Liangchao Zou1, Ulf Håkansson2,3 and Vladimir Cvetkovic1, (1)KTH Royal Institute of Technology, Department of Sustainable Development, Environmental Science and Engineering, Stockholm, Sweden, (2)KTH Royal Institute of Technology, Department of Civil and Architectural Engineering, Stockholm, Sweden, (3)Skanska AB, Stockholm, Sweden
Global Sensitivity Applied to Dynamic Combined Finite Discrete Element Methods for Fracture Simulation (291028)
Humberto C Godinez1, Esteban Rougier2, David Osthus2 and Gowri Srinivasan1, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Los Alamos National Laboratory, Los Alamos, United States
A multicomponent tracer field experiment to measure the flow volume, surface area, and rectilinear spacing of fractures away from the wellbore (284932)
Lawrence M Cathles1, William Edward Sanford2, Adam Hawkins1 and Yan Vivian Li3, (1)Cornell University, Ithaca, NY, United States, (2)Colorado State Univ, Geosciences, Fort Collins, United States, (3)Colorado State University, Fiber Science, Fort Collins, CO, United States
A linearized microstructural model for hydraulic conductivity evolution due to brittle damage: application to Hydraulic Fracturing treatments (251674)
Gianluca Caramiello, Andrea Montanino, Gabriele Della Vecchia Sr and Anna Pandolfi Sr, Politecnico di Milano, Civil and Environmental Engineering, Milano, Italy
2-D Fractal Wire Antenna Design and Performance (236963)
Sarah F Tebbens1, Christopher Cramer Barton2, David Joseph Peterman3, Jordan Ewing1, Christopher S Abbott3 and Mateen M Rizki4, (1)Wright State University, Department of Physics, Dayton, OH, United States, (2)Wright State University, Environmental Sciences and Chemistry, Dayton, United States, (3)Wright State University, Earth and Environmental Sciences, Dayton, OH, United States, (4)Wright State University, Computer Science and Engineering, Dayton, OH, United States
2-D Fractal Carpet Antenna Design and Performance (229879)
Christopher Cramer Barton1, Sarah F Tebbens2, Jordan Ewing2, David Joseph Peterman3 and Mateen M Rizki4, (1)Wright State University, Environmental Sciences and Chemistry, Dayton, United States, (2)Wright State University, Department of Physics, Dayton, OH, United States, (3)Wright State University, Earth and Environmental Sciences, Dayton, OH, United States, (4)Wright State University, Computer Science and Engineering, Dayton, OH, United States

See more of: Nonlinear Geophysics