OptiDrill: Optimisation of Geothermal Drilling Operation with Machine Learning
Objective
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 to unite those methods under one system to enable drilling process optimisation and intelligent decision making.
Consortium
OptiDrill consortium, brings together highly experienced drillers, drilling project managers, engineers and operators, each having a different, yet complementary set of expertise in differing geological conditions, operating parameters and production end-goals. They will be providing data from various wells around the world.
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 to improve ROP, lifetime and reliability compared to existing technologies. OptiDrill will enhance the growth of geothermal energy as it will enable to exploit deep geothermal energy to generate electricity by reducing the capital expenditure (CAPEX). OptiDrill’s reduction of drilling time, will also lead to significant reduction of the environmental impact during drilling activities.
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