OptiDrill: Optimisation of Geothermal Drilling Operation with Machine Learning
OptiDrill: Optimisation of Geothermal Drilling Operation with Machine Learning
OBJECTIVES
The overall objective is to develop a drilling advisory system utilising novel sensor and machine learning methods to predict ROP, lithology, drilling problems, well completion and enhancement and finally ...
CONSORTIUM
OptiDrill consortium, brings together highly experienced drillers, drilling project managers, engineers and operators, each having a different, yet complementary set of expertise in different geological conditions ...
IMPACT
The Machine Learning (ML) models of ROP, lithology, drilling problems, well completion and enhancement and coupled drilling optimisation models to be developed through the OptiDrill project are designed ...
Latest news from OptiDrill Project
Machine Learning Prague 2024: OptiDrill concept explained
Conferences like these are the perfect opportunity for networking with other scientists from the same field, staying up to date with the latest developments and finding inspiration for possible new applications and solutions for existing challenges.
OptiDrill project at the ETIP-Geothermal webinar
Henning Knauer from the Fraunhofer IEG represented the OptiDrill consortium and shared his insights on “Optimisation of Geothermal Drilling with Machine Learning” in the second session of the webinar.
Kevin J Mallin’s Insights on the 10th UK Geothermal Symposium
As the 10th UK Geothermal UK Symposium’s echoes still resonate, we sit down with Kevin J Mallin to unravel the key takeaways, groundbreaking discussions, and the promising developments that unfolded during this gathering of minds at the symposium. This blog gives a glimpse of Kevin’s presentation and his takeaway from the event.