Reservoir Modeler

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Job description

Description

Job Description:

Looking for an opportunity to make an impact?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Your greatest work is ahead!

The Leidos Research Support Team supporting the National Energy Technology Laboratory (NETL) is seeking a Reservoir Modeler to join our Team in Albany, OR, Morgantown, WV, or Pittsburgh, PA. This opportunity will allow side by side execution of research with world-class scientists and engineers using state of the art equipment to contribute to new areas of basic and applied research.

The Reservoir Modeler will continue the development of NETL's Thermal-Hydrologic-Chemical-Mechanical (THCM) simulator for methane hydrate reservoir modeling. The code development will be based on NETL's previous efforts including 1D/2D flow simulator coupled with nonlinear finite element method (FEM), new geomechanics constitutive models, and analytical formulation for sand migration, which will be linked to NETL's flow simulator, Mix3HydraResSim.

NETL Locations: Albany, OR; Pittsburgh, PA or Morgantown, WV

If this sounds like the kind of environment where you can thrive, keep reading!

Primary Responsibilities Include:

• Apply artificial intelligence/machine learning (AI/ML) methods to generate models and tools relating to subsurface geologic natural and engineered systems
• Code Development of methane gas hydrate reservoir
• 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
• Presenting technical findings during regular team meetings as well as at workshops and professional conferences
• Collaborate with multidisciplinary group of science researchers to accomplish project tasks
• Build relationships with internal and external clients

Required Qualifications:

• Master's degree in petroleum engineering, reservoir engineering, wellbore engineering, machine learning, data science, math, computational geology, geophysics, geology, physics or similar field
• Proficiency in code development of TCHM
• Experience developing code in an Integrated Development Environment (IDE), documenting code, and committing code to a repository, such as GitHub, BitBucket, or similar
• Understanding of and experience in gas hydrates

Preferred Qualifications:

• Advanced degree and/or certifications petroleum engineering, reservoir engineering, wellbore engineering, machine learning, data science, math, computational geology, geophysics, geology, physics, or similar field
• Evidence of substantive participation in subsurface geologic scientific community

Pay Range: