GESGB conference on geoscience machine learning at the Institute of Physics in London

Looking forward to the GESGB conference on geoscience machine learning at the Institute of Physics in London on Thursday.

A diverse programme of speakers. Topics include a wide range of applications of artificial intelligence and machine learning in geosciences.

Including meaningful AI integration in the field and advanced methods such as deep learning-based multi-objective data assimilation for carbon storage. The use of large language models and their ethical implications, uncertainty quantification in electrofacies prediction, AI applications in pore pressure, geomechanics, and wellbore stability, as well as handling small and imperfect datasets in geochemistry, AI driven advances in biostratigraphy, marine seismic processing, seismic petrophysics, fault identification, and sandstone intrusion interpretation. Sequential machine learning for reservoir characterisation, the role of AI and remote sensing in accelerating the energy transition, and reflections on long-term machine learning applications in geoscience.