OptiDrill: Optimisation of Geothermal Drilling Operation with Machine Learning
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 ...
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 ...
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
Contribution of Machine Learning and AI in Geothermal Energy: future is near
The manner in which the drilling bit is run is more important than which bit is run. OptiDrill coupled drilling optimisation ML models in the drilling advisory system will enable drillers to reach cost-effectively greater depths and higher temperatures on all types of geological formations for geothermal well drilling.
Technology Transfer and Synergies Meeting at IEG Fraunhofer, Germany
The OptiDrill project’s technical partners met for the technology transfer and synergy realisation of the two projects GeoDrill and OptiDrill, at IEG Bochum, Fraunhofer, Germany,
OptiDrill will be present at EGU 2023
OptiDrill’s partner Andrew Kingdon from British Geological Survey (BGS), will be presenting a paper on ‘Optimising the drilling process for geothermal wells using legacy oil