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Geothermal Research Intern (12 months)

Geophysics, Geology, Physics, Maths, Data, Analytics.

About SLB:

We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that has been our mission for 100 years.

We Are SLB
Across more than 100 years of innovation, we have transformed the energy industry multiple times.

We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. We’re working on that answer. Every day, a step closer.

Our collective future depends on decarbonising the fossil fuel industry, while innovating a new energy landscape. It’s what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet.

Our purpose: Together, we create amazing technology that unlocks access to energy for the benefit of all.

SLB Cambridge Research (SCR) is part of SLB’s global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry.

Description & Scope:

Enhanced Geothermal Systems (EGS) are a promising source of sustainable, low-carbon energy, but fluid losses during reservoir circulation remain a significant challenge. Data from circulation tests at the Utah FORGE and other projects provide a unique opportunity to investigate how geothermal reservoirs respond under different operating conditions.

In this internship, you will combine real-world data with advanced reservoir simulation to improve understanding of water loss mechanisms in EGS reservoirs. Using industry-leading reservoir modelling software (SLB INTERSECT), you will history match circulation test data, evaluate model performance, and investigate how operational parameters influence fluid recovery and reservoir behaviour.

The project offers hands-on experience at the intersection of geothermal energy, subsurface engineering, data science, and numerical modelling. The outcomes will contribute directly to ongoing research aimed at improving future geothermal developments.

Responsibilities:

  • Build, calibrate, and validate reservoir simulation models.
  • Compare observed field performance with simulation predictions and assess model accuracy.
  • Perform sensitivity studies to identify key controls on fluid losses.
  • Deliver a final technical report and presentation summarising methodology, findings, and recommendations.

Requirements:

  • Studying a Bachelor's or Master's in Petroleum Engineering, Geosciences, Engineering, physics, applied mathematics or a related subject
  • Strong interest in renewable energy, geothermal systems, or subsurface engineering.
  • Basic understanding of fluid flow, heat transfer, or reservoir processes.
  • Ability to work independently while effectively communicating technical results.
  • Strong analytical and problem-solving skills.
  • Enthusiasm for learning numerical simulation and reservoir modelling techniques.
  • Experience with reservoir engineering, hydrogeology, petroleum engineering, or geothermal systems. (Desirable)
  • Familiarity with numerical simulation software (INTERSECT, Eclipse, CMG, TOUGH2, OpenGeoSys, COMSOL, or similar). (Desirable)
  • Programming experience in Python for data analysis and visualisation. (Desirable)

SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.

The recruiting process and the position can be adapted to fit most disabilities, please do not hesitate to mention this when applying.

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Add to Shortlist
Shortlisted
  • Deadline
    Ongoing
  • Starting
    July 2027
  • Salary
    Competitive + benefits
  • Degree required
    Bachelor's
  • Duration
    12 months
  • Location
    Cambridge
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Disciplines Accepted...
  • Analytics/Statistics
  • Data Science
  • Geology/Minerals
  • Geophysics
  • Maths
  • Physics
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