IN21C:
Increasing the Bandwidth of Imaging-Data-to-Research Pipelines Posters
Submit an Abstract to this Session
Session ID#: 24841
Session Description:
Advances in volumetric imaging technologies enable insights from pore/core to reservoir/basin scales. These data underlie numerous efforts to answer geological questions, including numerical experiments of fluid flow and mechanical deformation, and inform environmental, civil, and petroleum engineering decisions.
Imaging research requires large storage capacity, data sharing, curation and publication capabilities, and access to high performance computing resources where data from multiple length and time scales can be integrated and analyzed. Such infrastructure is emerging through the Energy Data Exchange and the Digital Rocks Portal, and can be further enhanced through platform integration, metadata interoperability, and linking to imaging centers such as UTCT.
To discuss advances in digital rock physics infrastructure, present research enabled through it, and introduce future challenges, we bring together researchers that work: (1) improving imaging techniques and data quality, (2) developing innovative platforms and computational workflows, and (3) combining data and tools to gain scientific insight.
Primary Convener: Masa Prodanovic, The University of Texas at Austin, Hildebrand Petroleum and Geosystems Engineering, Austin, United States
Conveners: Maria Esteva, Research Associate/Data Curator, University of Texas at Austin, Texas Advanced Computing Center, Austin, United States and Richard A Ketcham, University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States
Chairs: Masa Prodanovic, The University of Texas at Austin, Hildebrand Petroleum and Geosystems Engineering, Austin, United States, Maria Esteva, Research Associate/Data Curator, University of Texas at Austin, Texas Advanced Computing Center, Austin, United States and Richard A Ketcham, University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States
OSPA Liaison: Masa Prodanovic, The University of Texas at Austin, Hildebrand Petroleum and Geosystems Engineering, Austin, United States
Cross-Listed:
Abstracts Submitted to this Session:
Shelley Stall, American Geophysical Union, Open Science Leadership, Washington, DC, United States
Richard A Ketcham, University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States
Chul Moon, University of Georgia, Department of Statistics, Athens, GA, United States, Scott A Mitchell, Sandia National Laboratories, Computational Mathematics Department, Albuquerque, NM, United States, Nickolas Callor, Brigham Young University, Department of Mathematics, Provo, UT, United States, Thomas A Dewers, Sandia National Laboratories, Albuquerque, United States, Jason E Heath, Sandia National Laboratories, Albuquerque, NM, United States, Hongkyu Yoon, Sandia National Laboratories, Geomechanics Department, Albuquerque, NM, United States and Gregory R Conner, Brigham Young University, Department of Mathematics, Provo, UT, United States
Jason E Heath, Sandia National Laboratories, Albuquerque, NM, United States, Thomas A Dewers, Sandia National Laboratories, Albuquerque, United States, Eric A Shields, Sandia National Laboratories, Department of Adaptive Computational Sensing, Albuquerque, NM, United States, Hongkyu Yoon, Sandia National Laboratories, Geomechanics Department, Albuquerque, NM, United States and Kitty Milliken, University of Texas, Bureau of Economic Geology, Austin, TX, United States
Masa Prodanovic, The University of Texas at Austin, Hildebrand Petroleum and Geosystems Engineering, Austin, United States, Maria Esteva, The University of Texas at Austin, Texas Advanced Computing Center, Austin, TX, United States and Richard A Ketcham, University of Texas at Austin, Jackson School of Geosciences, Austin, TX, United States
