Northwest Energy Association
Not Just for Google: Big data tools and analyses for subsurface characterization, oil spill prevention & response, and assessment of energy infrastructure risks
Kelly Rose, Research Geologist, U.S. Department of Energy, National
Energy Technology Laboratory, 1450 Queen Avenue SW Albany, OR 97321
Demand for energy resources continues to rise globally as the portfolio of resource options continues to diversify. While interest in alternative energy options grows, there remains a need for research driven solutions to address both safe and reliable access to these resources while mitigating risks and impacts associated with them. Access to data associated with energy, infrastructure, environmental and societal sources is increasing through open data systems. These data offer new opportunities to inform and address science-driven questions. However, effective use of these data require new approaches and solutions to bridge the gap between the availability of information and methods to effectively consume and analyze it. While there are numerous big data driven solutions for marketing and business solutions, science and engineering based systems face challenges including efficiently finding, integrating and utilizing relevant, authoritative datasets. It is also important that as big-data science driven tools and models emerge that they become accessible for use by a wide range of end-users.
The U.S. DOE’s National Energy Technology Laboratory (NETL) has been developing geo-data science methods and tools for small and big data problems to facilitate science-based evaluations of engineered and natural systems. NETL’s Energy Data eXchange serves as the hub for data discovery, integration, and big data analytics, incorporating tools and models (Info on some https://edx.netl.doe.gov/tools ) to evaluate energy efficiency, resource assessments, subsurface storage potential, geothermal resources, risks with energy infrastructure, water resource impacts, induced seismicity potential, and offshore oil spill prevention & response. In this presentation we will explore some examples of these efforts and show how they have been used in analyses to detect data trends, reduce uncertainty, identify knowledge gaps, and evaluate risks.
Kelly Rose is a geology-geospatial researcher with the National Energy Technology Laboratory’s (NETL) Office of Research & Development. She has seventeen years of experience with subsurface characterization, geospatial analysis, and geo-data science in industry and as a federal researcher. Her research at NETL is focused on using geologic and geospatial science to reduce uncertainty about, characterize andunderstand spatial relationships between energy and natural systems at a range of scales. Her current research projects focus on reducing
impacts and risks associated with geologic carbon storage, onshore and offshore hydrocarbon systems, offshore oil spill prevention, geothermal resources, and underground fluid storage and disposal (e.g.
induced seismicity risks, leakage potential etc). She also is working on new methods using conventional geologic techniques combined with geostatistical methods to improve prediction of subsurface properties.
She serves on advisory committees including the Department of Interior’s National Geologic and Geophysical Data Preservation Program, and the University of Southern California’s Induced Seismicity and Reservoir Monitoring Consortiums. She is associate editor for the Journal of Sustainable Energy Engineering which
publishes peer-reviewed research seeking sustainable methods of worldwide energy production through engineering, scientific, and technological advances. Rose is the coordinator and systemsintegrator for the U.S. Department of Energy's Energy Data eXchange (EDX), an open-data curation, knowledge management, and online coordination/collaboration tool developed by Rose and the EDX team.
Rose holds geology degrees from Denison University, B.S., Virginia
Tech, M.S., and Oregon State University, Ph.D.