Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.
Descriptif du poste
Société : CGG SA Catégorie : Stage Activité : Energie / Pétrole / Gaz / Nucléaire Filiere : Etudes, Recherche, Projet Metier : Etudes Scientifiques et Techniques Lieu : Essonne (Île-de-France)
Mission
Job Details
Implementation of innovative stochastic seismic inversion for seismic reservoir characterization of CO2 storage site.
CO2 capture, storage and utilization technologies are part of the range of solutions identified by the GIEC in its report dedicated to global warming mitigation measures. These technologies require precise 3D modelling, integrating seismic and well data of the geological layer where the CO2 will be injected.
The uncertainty associated with the result obtained is one of the key products of the modelling exercise in order to assess the risks associated with storage. Stochastic Bayesian modelling methods make it possible to integrate data from different sources, while quantifying uncertainty by generating multiple realizations.
The research topic at the crossroads of geophysics and mathematics will consist of implementing and testing an innovative geostatistical algorithm SPDE (stochastic partial differential equations) for stochastic seismic inversion.
The SPDE approach makes it possible to solve geostatistical problems on large volumes of data. A current research project studies its adaptation to the problem of seismic characterization of reservoirs and in particular the stochastic inversion of seismic data. In this context, integrated in the Viridien Reservoir Research department, the intern will participate in the theoretical development and implementation of a prototype.
This innovative methodology will be developed during the internship and must be implemented then tested, first on small volumes of synthetic data then on real data in order to validate its application, and to understand the impact of the different parameters as well as the limitations. The application of such approach to other domains will be further investigated to provide uncertainties estimation in the different workflows currently used by Viridien.
Qualifications
Last year of Engineer School or Masters degree with strong skills in Mathematics, Physics and Numerical computation.
Key Skills and Experiences
· Analytical approach to problem solving
· Collaborating with external R&D partners
· Theoretical bases of statistics/geostatistics and if possible knowledge of the SPDE approach
· Strong knowledge of Python and C++
· Knowledge of geophysics is not essential but will be useful
· Curiosity, interest for research and teamwork
Additional information
* Location : Massy, France
* Contract : Full-time, fixed term
* Starting date : January-February 2025
Profil recherché
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