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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’s been our mission for 100 years. 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 decarbonizing 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.
Together, we create amazing technology that unlocks access to energy for the benefit of all.
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Numerical modeling of a fluid sensor
Scope of the internship:
Measurements of fluids and fluid mixtures inside flow pipes are critical in many industries including oil&gas and chemical. We are designing a new multi-sensor tool that is entered into a pipe system to perform such measurements. This robust tool combines existing and new flow sensors to achieve the best possible measurements in realistic environments. We have selected several new measurement concepts and we need modelling results to determine the optimal sensor geometry, parameters and positioning on the tool. You work includes modelling a sensor, matching the model to the real measurement data, participation in the optimization of the sensor and the definition of how the sensor data can be combined and interpreted with other sensor data for the best flow measurements. We have basic lab data to work on and the candidate can also measure additional data in our lab. The student learns to work autonomously and creatively in an industrial R&D environment of an international company and produce results under informal guidance of engineering physicists.
During the internship a good-quality report will be written capturing technical results (both positive and negative) and ideas. Depending on the progress and approach, the candidate will also produce numerical models, software code and potentially rapid-prototype sensor designs. There is a lot of possibility to discuss with technical experts.