Job title:

Computational Software Engineer Intern (3 months)

About SLB:

We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all.

At SLB, we recognize that our innovation, creativity, and success stem from our differences. We actively recruit people with a diverse range of backgrounds and cultivate a culture of inclusion that unlocks the benefits of our diversity. We want to ensure that everyone feels a sense of belonging here and we encourage, enable, and empower our people to foster inclusivity, build trust, and demonstrate respect for all across the organization.

Global in outlook, local in practice - and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.

Location:

Abingdon, Oxfordshire

Description & Scope

Carbon Capture and Storage (CCS) is a key technology for reducing carbon dioxide (CO2) emissions to help tackling global warming.

Measurement, Monitoring, and Verification (MMV) enforces comprehensive risk control via surveillance activities by comparing measured and predicted performance of the CO2 storage complex. MMV is mandatory across the lifecycle of a CO2 storage project, and a solid MMV plan is a significant investment in time and resources.

This internship project will focus on developing the digital tool to optimize carbon storage MMV planning.

Deliverables

• Collect insights on digital technologies that support CCS, net-zero, renewables, and energy management
• Work with product team to analyze the challenge, research and optimize the solution for carbon storage MMV
• Deliver and integrate solution in the digital product.

Required Skills & Qualifications

• Studying for a Masters or PhD in Geophysics, Mathematics, Physics, Computer Science, or similar.
• Good motivation, autonomy, teamwork, and ingenuity
• Programming skills in one of Python/Golang etc.
• Theoretical and practical knowledge with CCS or numerical simulations would be advantageous.

We are open to flexible, hybrid working with a combination of on-site & home working days.

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