Machine learning for drilling optimization
3 European H2020 organizations list this as part of their work — 1 as their primary capability.
Most active in this area
- BESTEC GMBH
German geothermal drilling engineering company applying machine learning to optimize drilling operations and predict subsurface formations.
“OptiDrill applies machine learning to lithology prediction, systems identification, and rate-of-penetration improvement in geothermal drilling operations.”
PrimaryDE2 projects - GEOLORN LIMITED
UK SME bridging geothermal drilling hardware — graphene coatings, 3D printed sensors — with machine learning-based drilling optimization and lithology prediction.
“OptiDrill (2021-2024) introduced ML-based lithology prediction, ROP improvement, and a drilling advisory system as core technical contributions.”
SMEUK2 projects - GEOTHERMAL ENGINEERING LTD
UK geothermal SME applying machine learning and sensor systems to optimize subsurface drilling operations for clean energy projects.
“OptiDrill (2021–2024) explicitly targets ML-driven drilling advisory systems, rate-of-penetration improvement, and lithology prediction from sensor data.”
SMEUK2 projects