- Fernando Villanueva-Robles (IPGP)
- Yann Huet (Setec-Lerm)
- Ngoc Huyen Luu (Ecole Polytechnique)
- Dorian Bagur (Telecom ParisTech)
- Jonathan Grandjean (Independent)
The OBSNoise project investigated the application of machine learning to coherently stack ambient noise records collected from ocean bottom seismic (OBS) arrays in order to extract reservoir information. The team's results from synthetic data showed promise. If fully developed, this technology could be a virtually real-time monitoring system of dynamic reservoir properties.
https://agilescientific.com/blog/2017/6/29/subsurface-hackathon-project-round-up-1
https://agilescientific.com/blog/2017/6/29/subsurface-hackathon-project-round-up-2
