2027 Geothermal Production Analytics Engineering Intern - Geysers

Constellation Energy Generation, LLC.•Middletown, CA

11d•Onsite

About The Position

Constellation is seeking highly motivated reservoir engineering students for a paid, approximately 10-week internship in 2027. The internship is in person at the Geysers location in Middletown, California, and is scheduled to run from June 7, 2027, through August 13, 2027. Interns will work on specific projects to gain hands-on experience, working independently under an assigned supervisor and technical mentor. The Reservoir Engineer Intern will assist the Geothermal Production Analytics team with analyzing production and injection data, recommending data-management improvements, evaluating reservoir and steam-gathering-system performance for optimum field development, and building simulation models for field performance studies. Applicants must remain students throughout the internship.

Requirements

Must have junior standing or above and be working toward a bachelor's degree or higher in Petroleum, Chemical, Mechanical, Civil, or Electrical Engineering; other engineering or earth-sciences degrees are also considered.
Must be a student for the duration of the internship.
Have analytical and technical skills and a practical approach to problem solving.
Be familiar with data-management systems such as MySQL, SQLite, Microsoft SQL Server, or Microsoft Access.
Be familiar with GIS applications.
Be familiar with geological and reservoir engineering applications such as GOCAD/SKUA, Petrel, Eclipse, VIP, Volsung, Tetrad, CMG STARS, or TOUGH2.
Have experience with programming languages such as Fortran, C/C++, or Python.
Be legally authorized to work in the United States.
Hold a valid driver's license and be able to drive on mountainous roads.

Responsibilities

Analyze production and injection data.
Develop recommendations for data-management improvements.
Conduct reservoir and steam-gathering-system performance evaluations to support optimum field development.
Build simulation models for field performance studies.