Publication Abstract

International Symposium on Frontiers in Offshore Geotechnics, (DFI)

Bob Gilbert, Philippe Jeanjean

The Fourth International Symposium on Frontiers in Offshore Geotechnics, ISFOG 2020, hosted by The University of Texas at Austin, follows the success of the previous three symposia hosted by the Norwegian Geotechnical Institute in Oslo, Norway in 2015 and by the Center for Offshore Foundation System at the University of Western Australia in Perth, Australia in 2005 and 2010. We are very excited about the ISFOG 2020 proceedings. They represent the fantastic passion and energy of the offshore geotechnics community and provide guidance and knowledge that will push the frontiers and advance our profession. We have modernized how the proceedings are issued such that they are available only in electronic format, which improves sustainability and facilitates sharing and data mining. The classic themes of the previous symposia are still included as they remain relevant to the offshore oil & gas and renewable energy sectors. They include axial and lateral pile responses, foundation installation and extraction, geohazards and integrated studies, in situ and laboratory testing, pipelines, risers, and cables, risk and reliability, shallow foundations, site characterization, soil behavior and modelling, and spudcans. They form the bulk of these proceedings and are addressed in keynote lectures on whole-life design, axial pile capacity in sands, and sediment transports and scour in the ocean environment. Furthermore, in a truly special keynote lecture, Prof. Mark Randolph shares his career reflections and lessons learned through his lifetime of offshore geotechnics. We also look to the future and realize the emerging and soon-to-be ubiquitous place that data science and machine learning have taken in engineering globally and in offshore geotechnics in particular. This theme is represented for the first time in ISFOG proceedings and is the focus of a keynote lecture on data science applications in geo-intelligence. The lecture summarizes the outcome of a machine learning prediction event where 61 teams applied these techniques to 114 pile driving records. We also recognize the accelerated pace of the world’s energy transition towards a carbon-neutral environment and the need to transfer and apply the geotechnical skills used to develop traditional oil and gas projects to serve the needs of the offshore wind industry. This theme is well covered in the proceedings with an increased number of papers documenting the performance of offshore wind turbines and is the focus of a keynote lecture which describes how to bridge knowledge between “old and new energy projects.”

 article #3427; publication #1069 (IC-ISFOG21)