Applicants should apply through the Oak Ridge Institute for Science and Education (ORISE) program. The ORISE Program provides opportunities for undergraduate students, recent graduates, graduate students, postdoctoral researchers, and faculty researchers to apply classroom knowledge in a real-world setting to learn about NETL Research and Innovation Center’s (R&IC) core mission areas.
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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.
Through the Oak Ridge Institute for Science and Education (ORISE) this posting seeks a faculty collaborator to engage in projects with the Research Innovation Center (RIC) at the National Energy Technology Laboratory, under the mentorship of Yongkoo Seol.
RIC performs research within the National Gas Hydrate Research and Development Program to obtain pertinent, high-quality information on gas hydrates that will benefit the development of models and methods for predicting the behavior of gas hydrates in their natural environment under natural conditions and production scenarios. RIC supports major gas hydrate production field tests by providing numerical predictions on fluid migration, gas production, and potential reactions occurring during gas production activities, as well as by providing fundamental understanding and knowledge on hydrate behavior derived from experimental investigations on thermal, hydrological, geo-mechanical, and reactive responses of hydrate. RIC research includes, but is not limited to, numerical modeling efforts, including simulations of long-term production tests, laboratory experimental tests on geo-mechanical stress-strain measurements, water conductivity and relative permeability of fluid through hydrate-bearing sediments, high resolution visualizations of hydrate distributions and fluid migration in porous media under in situ conditions, developing state-of-the art pressure core analysis tools for characterizing geo-mechanical responses of field-retrieved hydrate-bearing pressure cores, and machine learning application to gas hydrate system to develop efficient key parameter estimation tools and large-scale 3D geologic model for gas hydrate reservoir..
The selected applicants will have the opportunity to learn about and gain advanced skillsets to support numerical reservoir simulations for gas production, laboratory characterization of hydrate bearing sediments, basin petroleum system modeling and machine learning application, depending on qualification and background. Successful applicants for this position would have a strong background in most, but not all, these elements: high-pressure/low temperature laboratory experiments, geo-mechanical characterization and analysis, hydrologic or fluid transport models, machine learning algorithm and application, programming (C++, Fortran, Matlab, Python), and basin model development (PetroMod). Applications will be accepted and reviewed throughout the year and applicants with specific qualification will be contacted.
For more information about research ongoing in the Hydrate Portfolio at NETL please visit https://edx.netl.doe.gov/hydrate
The ideal candidate will have some of, but not all, the following skills:
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