The next IFP School Voices webinar will be hosted by Mr. Florian Mercier, Principal Drilling Engineer at Helmerich & Payne on June 13, 2024 at 1:00 p.m. (Paris time).
His presentation is entitled: "Geothermal Energy and Machine Learning: New Challenges and Opportunities for the Drilling Industry".
Biography of Florian Mercier
Principal Drilling Engineer
Helmerich & Payne
Florian Mercier is an IFP School graduate. With over 12 years of experience in the energy sector, he is currently Principal Drilling Engineer for Helmerich & Payne (H&P) based in Pau, France.
He earned his Master's degree in Mechanical Engineering from the École nationale supérieure des Arts et des Métiers (ENSAM) and then specialized with a Master's in Petroleum Engineering and Project Development from IFP School (class of 2011).
Starting his career at Saipem as a Field Engineer, Florian gained valuable offshore experience in West Africa and China. He then joined TotalEnergies as a Drilling Engineer, spending nearly ten years in various roles. His assignments spanned across South America, Africa and the Middle East, where he held diverse operational and supportive roles in onshore, conventional offshore and deepwater environments for both development and exploration projects.
In 2022, Florian transitioned to Helmerich & Payne (H&P), the largest US onshore rig contractor. Based in Pau, France, he is part of H&P's Advanced Well Engineering branch. Involved in oil & gas and geothermal projects, he provides well engineering services and real-time support using advanced H&P DrillScan® Digital Solutions.
About his conference
"Geothermal Energy and Machine Learning: New Challenges and Opportunities for the Drilling Industry"
Florian Mercier's presentation will be divided into two parts :
- Geothermal Energy: The importance of drilling in geothermal projects and how oil & gas (and shale gas) drilling technologies can be transitioned to geothermal applications.
- Hybrid Modeling: Machine Learning + Physics Applied to Drilling Engineering: Real-time stick-slip mitigation using combined machine learning and physics-based techniques.