MR002
Advances in the instrumented subsurface: bridging the gap between subsurface characterization and next-generation techniques for simulation and data analytics

Session ID#: 83205

Session Description:
Engineering the subsurface through the use of engineered infrastructure and modification of material properties in the surrounding geology encompasses a range of activities in the natural resource industry, and nuclear waste repository science.   An evolving trend in  is the integration of multiple/disparate data streams into a machine-learning framework for improved detection of transient events and/or changes in the subsurface environment related to its natural evolution or direct human inteference.   Driving this trend is the need for real-time situational awareness – snapshots of the geology and infrastructure – to inform decisions such as, for example, reservoir and remediation management.

This session invites presentations that focus on experimental, computational, or field studies related to subsurface infrastructure, or underground research and testing.  Topics may include: monitoring and/or detection of subsurface fluids or fate and transport of waste materials; chemo-mechanical evolutuion of subsurface infrastructure, performance assessment or safety analysis of subsurface containment.

 

Index Terms:

0520 Data analysis: algorithms and implementation [COMPUTATIONAL GEOPHYSICS]
0545 Modeling [COMPUTATIONAL GEOPHYSICS]
0555 Neural networks, fuzzy logic, machine learning [COMPUTATIONAL GEOPHYSICS]
5194 Instruments and techniques [PHYSICAL PROPERTIES OF ROCKS]


Primary Convener:  Edward N Matteo, Sandia National Laboratories, Nuclear Waste Disposal Research and Analysis, Albuquerque, NM, United States
Convener:  Chester J Weiss, Sandia National Laboratories, Geophysics Department, Albuquerque, NM, United States
Primary Liaison:  Edward N Matteo, Sandia National Laboratories, Nuclear Waste Disposal Research and Analysis, Albuquerque, NM, United States
 
GeoVision Analysis: An Overview of the U.S. Department of Energy’s GeoVision Roadmap with an Emphasis on R&D Priorities (Invited) (506991)
Susan G Hamm, US Department of Energy, Washington, DC, United States and Jeffrey A Winick, Allegheny Science and Technology, Golden, CO, United States
 
Mapping of pore pressure using Eaton’s method integrating Seismic Inversion and Velocity Modeling in Upper Assam, North-East India (510924)
Triveni Gogoi, Jenifer Alam and Rima Chatterjee Prof, IIT(ISM) Dhanbad, Applied Geophysics, Dhanbad, India
 
Creating a Densely Instrumented Subsurface Observatory: Combining Active/Passive Seismic Arrays and Distributed Fiber Optic Sensing for Fracture Characterization at the COLLAB Facility (Invited) (599042)
Jonathan Blair Ajo-Franklin1,2, Martin Schoenball3, Todd Wood1, Michelle Robertson1, Paul Schwering4, Hunter A Knox5, Lianjie Huang6, Patrick F Dobson7, Timothy J Kneafsey1 and EGS COLLAB Team, (1)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (2)Rice University, Earth, Environmental and Planetary Sciences Department, Houston, TX, United States, (3)Lawrence Berkeley National Laboratory, Berkeley, United States, (4)Sandia National Laboratories, Albuquerque, NM, United States, (5)Pacific Northwest National Laboratory, Richland, WA, United States, (6)Los Alamos National Laboratory, Geophysics Group, Los Alamos, NM, United States, (7)Lawrence Berkeley Nat Lab, Berkeley, CA, United States
 
Peridynamics modeling for fracture prediction in the subsurface. (608558)
Bart VanBloemenWaanders, Sandia National Laboratories, Albuquerque, NM, United States
 
Heat Generating Nuclear Waste in Bedded Salt: WIPP Experiments and Simulations (611260)
Eric J Guiltinan1, Phil H Stauffer2, Hakim Boukhalfa1 and Kristopher L Kuhlman3, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Los Alamos National Laboratory, Earth and Environmental Sciences Division, Los Alamos, NM, United States, (3)Sandia National Laboratories, Applied Systems Analysis & Research, Albuquerque, NM, United States