Lab Partnering Service Discovery
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Tim Draelos has been at Sandia for over 32 years and received his Ph.D. at UNM in 1998, focusing on constructive neural networks. He has spent the last ten years conducting deep learning R&D, including work on seismic signal detection, phase identification, and event discrimination. He chaired special sessions on Machine Learning in Seismology at the 2016 and 2017 Seismological Society of America annual meetings and 2017 American Geophysical Union fall meeting. He has taught classes on machine and deep learning and was the founder and general chair of the 1st three Sandia Machine Learning and Deep Learning Workshops, starting in 2017. He has published papers in the Bulletin of the Seismological Society of America, Seismological Research Letters, and various machine learning conferences.
Tuan Ho is a Senior Member of the Technical Staff in the Geochemistry Department at Sandia National Laboratories. He earned his Bachelor of Engineering from Ho Chi Minh City University of Technology, Vietnam and his PhD from University College London, UK. His research interests include molecular interaction/properties in natural/engineering nanoporous materials related to subsurface applications: shale gas production, nuclear waste disposal, carbon dioxide capture and geological storage.
- Basic science: seeks to understand how nature works. This research includes experimental and theoretical work in materials science, physics, chemistry, biology, high-energy physics, and mathematics and computer science, including high performance computing.
- Applied science and engineering helps to find practical solutions to society’s problems. These programs focus primarily on energy resources, environmental management and national security.
NETL Staff Biography
Grant S. Bromhal, Ph.D.
Senior Fellow for Geological and Environmental Sciences
Dr. Grant S. Bromhal is a Senior Fellow at the National Energy Technology Laboratory (NETL), focusing on Geological and Environmental Sciences. He leads a team that conducts novel research related to unconventional oil and gas recovery, enhanced oil recovery, carbon storage, enhanced geothermal systems, and other related issues.
Dr. Bromhal is the Technical Director of the National Risk Assessment Partnership (NRAP), work for which he and his collaborators won, in 2017, an R&D 100 award for novel software development. Dr. Bromhal is also the director of the Science-informed Machine Learning for Accelerating Real-Time Decisions in Subsurface Applications (SMART Initiative).
He has been a research engineer at NETL for more than 17 years. During that time, he has been a Team Lead in Predictive Geosciences; the U.S. DOE’s technical representative on the Multiagency Collaboration (MAC) on Unconventional Oil and Gas; and a member of the DOE working group on well integrity in response to the Aliso Canyon incident.
Dr. Bromhal earned his Ph.D. in Civil and Environmental Engineering from Carnegie Mellon University and his BS/BA degree in Civil Engineering and Math from West Virginia University. He is the recipient of the 2007 Hugh Guthrie Award for Innovation at NETL, the 2010 U.S. Geological Survey Director’s Award for Exemplary Service to the Nation, and the 2011 U.S. Department of Energy Secretary’s Achievement Honor Award.
David’s work focuses on the incorporation of EM geophysical techniques into subsurface-characterization workflows, as well as advancing multi-physics data analysis, and to a lesser extent, statistically based methods of fusing multi-physics data into geologic interpretations.
Lawrence Berkeley National Laboratory (Berkeley Lab), a U. S. Department of Energy Office of Science national lab managed by the University of California, delivers science solutions to the world – solutions derived from hundreds of patented and patent pending technologies plus scores of copyrighted software tools and published, peer-reviewed manuscripts.
Berkeley Lab has more than one hundred cutting-edge research projects using AI to find new scientific solutions to national problems. Through this effort, computer scientists, mathematicians, and domain scientists are collaborating to turn burgeoning datasets into scientific insights. Visit Berkeley Lab’s Machine Learning for Science site for more information.
Berkeley Lab’s advanced materials expertise is applied to innovation in batteries and other energy storage technologies, semiconductors, and photovoltaics. Additional energy-related areas of expertise include grid modernization and security, bio-based fuels and chemicals and building energy and demand response. Several National User Facilities are available for collaborative engagement: the Advanced Light Source, Molecular Foundry, National Energy Research Scientific Computing Center (NERSC), Energy Sciences Network, and the Joint Genome Institute. Other specialized facilities include FLEXLAB for building energy research and the Advanced Biofuels Process Demonstration Unit.
Ernest Orlando Lawrence, the lab's founder, believed team science yielded the greatest discoveries. That belief is reflected today in interdisciplinary teams and collaborative projects connecting Berkeley Lab, industry, and other research organizations. Berkeley Lab's Intellectual Property Office, connects industry partners with lab innovations and unique facilities to enable lab-to-market transition.