Geothermal Modeling Intern: Scientific Computing & THMC AI

The Student Intern is responsible for gaining exposure to career opportunities within the oil and gas technology industry. This person discovers Schlumberger's role in the industry and the lifestyle associated with the job.

• Work in field jobs for a minimum of 14 days.
• Learn about the oil and gas industry.
• Follow prescribed internship guidelines for each week as closely as possible.
  
  Note:
  
  While the opportunity for technically-trained professionals is large, these jobs are unique in their scope and responsibility and require a special kind of individual to succeed. The internship will enable the candidate and Schlumberger determine if these requirements are met before committing to a full time job.

The Scientific Computing Intern will support the development, adaptation, and validation of computational tools for Enhanced Geothermal Systems (EGS), with emphasis on proppant mobilization in a fractured system.

The intern will work with existing fracture simulation code, help compile and stabilize the workflow, and contribute to refining the underlying physics so the model remains fit-for-purpose for EGS applications while simplifying the numerical complexity. The role will also involve designing and running targeted numerical experiments to characterize proppant mobilization behavior and translate the results into practical operating envelopes. Depending on project progress, the intern may also explore physics-informed neural network (PINN) surrogate modeling approaches for coupled thermal-hydraulic-mechanical-chemical (THMC) behavior, providing a contingency pathway for faster predictive modeling.
PHD in Computer Science, Mathematics, or Machine Learning
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