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OptiDrill: Optimisation of Geothermal Drilling Operation with Machine Learning

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OptiDrill: Optimisation of Geothermal Drilling Operation with Machine Learning
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OptiDrill: Optimisation of Geothermal Drilling Operation with Machine Learning
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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 ...

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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 ...

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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 ...

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A real-time advisory system for geothermal drilling and well completion optimisation.

Contact

OptiDrill Co-ordinator: Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (IEG), Hansastrasse 27C, Munchen 80686, Germany.

Email: info@optidrill.eu

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OptiDrill project is funded by the European Union's Horizon 2020 Research
and Innovation Action under grant agreement No. 101006964

Copyright © 2021 OptiDrill. All Rights Reserved.

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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