CFG Geothermal

Homepage: https://www.cfg-geo.fr/

The PhD candidate will focus on developing hybrid models to create a tool applicable to various deep geothermal contexts.

The work will focus on:

• Statistical modeling of induced seismicity using the ETAS model or a similar approach. This includes familiarization with the code and
  validation using well-documented geothermal datasets, such as those from The Geysers in California and Soultz-sous-Forêts in France.
• Building a database using publicly available data.
• Identification of the hydro-mechanical model by comparing the performance of different approaches in the context of injectionproduction.
• Preparation and execution of models for generating induced seismicity catalogs. The goal is to understand the sensitivity of mechanical,
  hydraulic, and/or thermal parameters and to develop a synthetic database.
• Development of a hybrid statistical-mechanical approach based on synthetic case studies.
• Development of a predictive system for induced seismicity in geothermal energy, with application of the method to a site of interest.
• Developments to optimize computation times, identify non-compressible times for future operational deployment,and create a tool that
  can be used by non-specialists in programming.

We are looking for an enthusiastic young scientist with skills in modeling, coding, and knowledge of seismology. The candidate should have a Master’s degree in Geophysics, Seismology, Geomechanics, Applied Geosciences, or a similar field. The candidate must be interested in data analysis, statistical methods, and modeling in common scientific programming languages such as Python, Matlab, C, or Fortran. It is important to note that the position involves working in a team with both on-site and remote supervisors. The position requires excellent teamwork and communication skills, including proficiency in both spoken and written English. The role demands technical expertise as well as the ability to publish articles in peer-reviewed journals and participate in international conferences.

The student will have a 36-month CDD contract with CFG as part of a CIFRE thesis, and will be enrolled in the STEP Doctoral School of UGA (Université Grenoble Alpes) and USMB (Université de Savoie Mont-Blanc). Work will be carried out at ISTerre Chambéry (approx. 12 months) and at BRGM-CFG Orléans (approx. 24 months).

For further information and applications please contact: Julie Maury J.Maury@brgm.fr