Fábio Júnior Damasceno Fernandes received a bachelor's degree (2022) in geophysics from the Universidade Federal Fluminense (UFF). He is a geophysicist at GIECAR-UFF working with seismic inversion and seismic facies modeling in R&D projects. His research interest includes seismic inversion, rock physics, Bayesian analysis, machine learning, and deep learning. He has experience on implementing these routines using Python programming language.

Ramesh “Neelsh” Neelamani currently serves as Senior Principal Geophysics within ExxonMobil Technology and Engineering Company. He received the B.Tech. degree in 1997 from the Indian Institute of Technology-Mumbai, and the M.S. and Ph.D. degrees in 1999 and 2003 from Rice University, all in electrical engineering. He joined ExxonMobil in 2003 and has enjoyed a variety of assignments in ExxonMobil’s research, exploration, and production companies. Dr. Neelamani has authored more than 40 refereed publications and 10 patent applications in the areas of seismic signal enhancement, compressed sensing, pattern recognition, and seismic imaging. He was honored by the SEG with the J. Clarence Karcher award in 2011.

Based in the UK, Dan Clarke is a geophysicist who has been working on the pre-salt reservoirs since 2013. He enjoys 3D and 4D qualitative and quantitative interpretation, multi-disciplinary integration and using geophysics to constrain reservoir modelling.