About This Course
This course covers applied machine learning for drilling. Participants study problem framing, drilling data preparation and labelling, feature engineering from rig data, regression and classification methods, anomaly detection, rate of penetration and failure prediction applications, real-time deployment, model validation, and the limits of machine learning in drilling.
IN-HOUSE TRAINING
Would you like a PEA training course delivered at a time or location to suit you? Would you like PEA to tailor a course from our comprehensive library of training courses? Or would you like us to create an entirely new, bespoke course to suit the exact needs of your organisation?
Working in partnership with our clients, PEA provides an enjoyable, creative learning experience that enables participants to develop their skills and knowledge. We can deliver not only generic, off-the-shelf courses from our extensive learning portfolio, but we can provide tailored as well as bespoke learning on any aspect of skill development or knowledge – all these are available in In-Person (Face-to-Face) or Online (Virtual Streaming) delivery formats. Our in-house training courses are conducted by the same expert trainers who conduct PEA public training courses so you can be assured they will fulfill the learning objective of any organisation.
STANDARD
Choose and use any course from our comprehensive portfolio and have it delivered anytime, anywhere
TAILORED
Tailor specific course modules to reflect your organisation’s training needs
BESPOKE
Work with an industry expert to design and develop your own Bespoke course unique to your organisation
