Fugro Wins Pile-Driving Prediction Contest With Machine-Learning

Fugro defeated 60 other teams from industry and academia in a contest to predict pile driving blowcount vs. depth for jacket piles installed in the North Sea. The contest ran from April to December of 2019, ending on January 1, 2020. Each team was supplied with a set of CPT test results, hammer energy, and pile dimensions. The Fugro team, comprised of data scientists, geotechnical consultants, and pile installation specialists, combined machine-learning techniques with their geotechnical expertise to develop a stable and reliable pile-driving model. The competition, organized as part of the International Symposium on Frontiers in Offshore Geotechnics 2020 conference, which will be held in Austin, Texas, in August, was hosted on Kaggle, a subsidiary of Google that is an online community of data scientists and machine-learning practitioners.

Source: OGF Article Fugro Wins Contest With Machine-Learning Model for Pile-Driving Prediction