Natural Language Processing (NLP) to support Geological Modelling and Mapping

At the University of Exeter Institute for Data Science and Artificial Intelligence (part of Turing Institute) at the AI for Geological Modelling and Mapping conference today. Great conference, discusions, excellent presentations from:

Kristine Asch, BGR, Germany – Geology without frontiers: The pioneer project of the first digital International Geological Map of Europe (IGME 5000)
Charlie Kirkwood, University of Exeter, UK – AI for geological mapping: incremental progress or revolutionary shift?
Mark Lindsay CSIRO, Australia – The map is not the territory: Geosciences in the AI-era
Tom Buckle, University of Exeter, UK – Improving Lithology Classification from pXRF using Multiscale Interval Features
Emma Mailey, AtkinsRéalis, UK – Engineering geology in machine learning applications for geohazard identification
Guillaume Caumon Université de Lorraine, France – On automation and uncertainty management in 3D geological interpretation and modelling: from geometry to graphs
Vasily Demyanov, Herriot-Watt University, UK – Uncertainty in AI based reservoir modelling workflows
Thomas Jerome , GMDK Inc, Canada – AI in geomodelling requires a strong, active human supervision. Learning from geostatistically-driven geomodelling from well data

Looking forward to day 2!

Robert Gordon University University of Exeter
hashtag#artificialintelligence hashtag#geoscience hashtag#geology hashtag#earthscience hashtag#machinelearning hashtag#naturallanguageprocessing hashtag#bigdata