Internship - Joint model learning, inversion and classification of NMR spectroscopy data | Schlumberger

Job Details

Internship - Joint model learning, inversion and classification of NMR spectroscopy data

Clamart - France

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’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.

Our Purpose

Together, we create amazing technology that unlocks access to energy for the benefit of all.
You can find out more about us on https://www.slb.com/who-we-are

Job title:

Joint model learning, inversion and classification of NMR spectroscopy data

Location:

Clamart, France

Scope of the internship:

The scope of internship is to work on classification of nuclear magnetic resonance (NMR) data of measured rock and fluid samples by combining mathematical physics (integral equations coming from physics of NMR and approximation theory) and machine learning methods (gradient descent based optimization and automatic differentiation libraries).  NMR instruments directly measure the quantity of hydrogen atoms in a sample which provides a method for determining porosity and permeability in porous material as well as different sources of hydrogen in liquids. These techniques are used to determine the properties in geological formation as well as organic contents, making them essential in understanding the hydrocarbon reservoirs as well as origin and evolution of life in extra-terrestrial and heavenly bodies.

 

Responsibilities:

The candidate will be working on algorithm development, computational infracture  for verification and validation of the algorithm. During the development of the algorithm, the candidate will be exposed to many levels of the process starting from concept to deployment to utilization. This will be performed in a multidisciplinary environment of industrial mathematicians, physicists, software engineers as well as field personnel. The results of the internship will be documented in terms of reports and codes. 

Skills required:

  • Oral and written communication skills in English
  • Programming skills (python, C/C++/C#, etc.)
  • Applied and computational mathematics

 

Internship - Joint model learning, inversion and classification of NMR spectroscopy data
Log in to apply for this position today.
Apply Now