The Leidos Research Support Team supporting the National Energy Technology Laboratory is seeking a Computational Geo-Scientist Research Scientist to join our team in Pittsburgh, PA.
The U.S. Department of Energy’s National Energy Technology Laboratory is a multi-disciplinary, scientific and technical-oriented national laboratory. NETL produces technological solutions for America’s energy challenges. From developing creative innovations and efficient energy systems that make coal more competitive, to advancing technologies that enhance oil and natural gas extraction and transmission processes, NETL research is providing breakthroughs and discoveries that support home-grown energy initiatives, stimulate a growing economy, and improve the health, safety, and security of all Americans. Highly skilled men and women at three NETL research sites – Albany, Ore., Morgantown, W.Va., and Pittsburgh, Pa. – conduct a broad range of research activities that support DOE’s mission to advance the national, economic, and energy security of the United States.
Primary Responsibilities Include:
- Meeting task requirements of NETL and Leidos research managers in attaining goals established for the NETL team and RIC programs as delineated in the statements of work pertaining to funding awards supporting this position. Provide R&D technical support for the NETL team.
- Active participation in group meetings as well as other task related meetings.
- Analyzing results in relation to experimental data from laboratory tests and published data from other authors.
- Assisting in the preparation of technical papers, reports, conference papers, and annual and quarterly reports.
- Presenting the results of the research at technical conferences and publishing in archival journals.
- Developing and applying modeling.
- Developing and testing new models.
- Presenting technical findings during regular team meetings as well as at workshops and professional conferences.
- Develop numerical methods to quantify gas migration potential in wellbore cement.
- Characterize the effects of cycling, thermal shock, and other operating variables on the failure mechanism of the wellbore system.
- Provide input and support on an in-house reactive transport model using ANSYS_FLUENT and/or openFOAM.
- Apply Machine Learning to estimate various target parameters on local- and regional-scale systems based on well log, seismic and other G&G data, and provide spatial characterization of gas hydrate reservoirs and basin regions.
- Developing, as part of a team, standardized testing practices for static gel strength via experimental laboratory work and computational analysis.
- PhD and less than 2 years prior relevant experience.
- Background in modeling and simulations; specifically saltwater-air interfaces for oil separation.
- Experience with computational fluid dynamics and reactive transport.
- Working knowledge of adsorption behavior of CO2, H20, and CH4 for carbon sequestration and enhanced oil/gas recovery.
- Experience with molecular dynamic simulations and experimental measurements.
External Referral Bonus:Ineligible
Potential for Telework:Yes
Clearance Level Required:None
Scheduled Weekly Hours:40
Job Family:Research Scientist
Leidos is a Fortune 500® information technology, engineering, and science solutions and services leader working to solve the world's toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company's 33,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $10.19 billion for the fiscal year ended December 28, 2018. For more information, visit www.Leidos.com.
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