Applicants should apply through the Oak Ridge Institute for Science and Education (ORISE) program on Zintellect. After you have applied in Zintellect, please send a CV to Robert Dilmore at Robert.Dilmore@netl.doe.gov.
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If you have questions, send an email to NETLinfo@orau.org. Please include the reference code for this opportunity in your email.
The National Energy Technology Laboratory currently has an educational opportunity for a postgraduate researcher to explore computational and data-driven methods and tools for quantitative risk assessment at geologic carbon storage sites.
The U.S. DOE of Fossil Energy’s NRAP is a multi-year, collaborative research effort that focused on developing the scientific basis, computational tools, and methods for risk management and uncertainty reduction at GCS sites, undertaken by Lawrence Berkeley National Laboratory (LBNL), Lawrence Livermore National Laboratory (LLNL), Los Alamos National Laboratory (LANL), National Energy Technology Laboratory (NETL), and Pacific Northwest National Laboratory (PNNL). NRAP’s approach to quantifying GCS subsurface environmental risk relies on stochastic modeling to forecast full system behavior of GCS sites, while considering site-specific uncertainty and variability. This full system considers not only the primary storage reservoir but also potential unintended migration pathways (wells, boreholes, faults, fractures) and receptors of concern (groundwater aquifers and the atmosphere). Various computational approaches are used to enable rapid and credible characterization of important system attributes and behavior over time. These approaches are used to describe performance and assess subsurface environmental risk in the context of important system uncertainty and natural variability; they can be applied to constrain critical uncertainties, to improve understanding of likely site behavior, and support decision-making. More details about the NRAP project and research products (computational tools, recommended practices, community datasets, and
application case studies) can be found on the NRAP project website: https://edx.netl.doe.gov/nrap/
The learning objectives and goals for this opportunity include
Peer-reviewed publication is strongly encouraged and will be supported by the mentor and other collaborators, as it as seen as an important step for emerging researchers to establish themselves and contribute to the advancement of the state-of-understanding in their field of endeavor. It is not, however, a requirement for this opportunity.
To be eligible, you must have received a Master's degree within the last three years or a doctoral degree within the last five years.
Prospective research associates who will benefit most from this research opportunity will have some formalized training, practical knowledge, and/or experience in some of the following areas:
It is recognized that not all applicants will have knowledge and experience in all of these areas. This fellowship will provide opportunity for exposure to/interaction with technical experts in several of these areas.
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