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Webinar: Introducing Experienced Eye - An Automated Feature Selection Tool for Machine Learning

Discover the role of feature selection in machine learning for petrophysics and how optimising input data can enhance predictive capabilities.

Webinar Details

Join Andy McDonald, IP Product Manager for AI, Machine Learning and Python at Geoactive Limited in Aberdeen, as he introduces Experienced Eye, the latest module added to our industry-leading subsurface log data interpretation software, Interactive Petrophysics (IP), due for release in October 2023. 

• Discover the role of feature selection in machine learning for petrophysics and how optimising input data can enhance and streamline machine learning workflows.

• Hear how our new Experienced Eye module can help reduce the time required to test various input data and machine learning model combinations for your petrophysical machine learning workflows in IP. 

 


Group 1623
  Speaker 

 Andy McDonald

 

Andy has over 17 years of industry experience, which includes petrophysics, geoscience and machine learning. He currently provides petrophysical expertise to software development projects and specialises in Python development, artificial intelligence and applications of machine learning to petrophysics.

Andy holds an MSc in Earth Science from the Open University, and a BSc (Hons) in Geology & Petroleum Geology from the University of Aberdeen. He has also co-authored several technical conference papers for the SPWLA and SPE on topics covering machine learning, heavy oil, geomechanics and low salinity waterflooding. In 2021, Andy was selected as a Distinguished Speaker by the SPWLA for his paper on the importance of data quality for machine learning models in petrophysics.

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