First EAGE Workshop on Machine Learning in Americas

First EAGE Conference on Machine Learning

22 - 24 September | ONLINE

KEYNOTE SPEAKERS

Renato Fontoura Cerqueira

IBM Research Brazil

"A Knowledge-centric approach for AI in Subsurface Characterization and Decision Making"

Renato Cerqueira is Senior Research Manager at IBM Research Brazil, where he leads a research group that creates AI-based technologies for data interpretation and decision making, with focus on lifelong adaptive learning and reasoning, human-centered AI, knowledge engineering, and domain knowledge-augmented machine learning. Renato and his team have been exploring the application of their research to different problems in Geosciences, such as subsurface characterization and geological risk assessment. Prior to join IBM Research, Renato was professor at the Department of Informatics at PUC-Rio, where he pursued research in adaptive and reflective middleware technologies, and advised several Ph.D. and M.Sc. students. During 2001, he was Visiting Researcher at the University of Illinois at Urbana-Champaign, working with Prof. Roy H. Campbell on middleware technologies for Ubiquitous Computing.

PEDRO MÁRIO CRUZ E SILVA

NVIDIA

Pedro Mário Cruz did his BSc (1995), and MSc (1998) at Federal University of Pernambuco (UFPE), he also did his DSc in 2004 at PUC-Rio. He created the Computational Geophysics Group at Tecgraf/PUC-Rio were worked for 15 years as Manager, during this period was responsible for several Software Development and R&D projects for Geophysics with strong focus on innovation. He also finished an MBA in 2015 at Getúlio Vargas Foundation (FGV/RJ). Is member of the main board of The Brazilian Geophysical Society (SBGf). Currently is the Solution Architect Manager at NVIDIA responsible for all technologies in the Latin America Region.

CATALINA HERRERA

TIBCO

"The good, the bad, and the human side of AI"

With a passion for data and analytics, Catalina Herrera has spent her entire career helping industry push beyond digitization to business transformation. She’s held both educational and technical positions, worked with state-of-the-art technology solutions across multiple industry verticals, and served as a data scientist and a SaaS technology evangelist. Today she works with Fortune 100 companies and global technology leaders on digital transformation initiatives. In 2020, her influence in the AI community in Texas resulted in her being recognized as one of the top 30 women in Artificial Intelligence Advancement. (Click here to read the article)

STANLEY RICH WHARTON

Subsurface imaging Co. Ltd.

"Machine Learning Applications in Subsurface Exploration"

Stanley Rich Wharton is President and Principal Consultant of Subsurface Imaging. Co. Ltd., with over 33 years’ international experience in oil and gas subsurface exploration, in Latin America/Caribbean, USA and in the Middle East. For over 20 years, he has been a Lead Geoscientist and subject matter applications expert in Machine Learning applications in the subsurface for exploration, appraisal and development, starting in late 1998 in bp-AMOCO. He was the Machine Learning Unsupervised Seismic Facies Champion for bp, worldwide, for several years. For approximately 12 years thereafter, Stanley Wharton was Consultant Geoscientist and subject matter application expert for Machine Learning seismic chronostratigraphy, seismic facies and log facies classification applications in the Exploration Regional Assessment Department, Saudi Aramco, Saudi Arabia. He has also been the initiator, Assistant Editor and publisher for the Seismic Chronostratigraphy Special Section in the Society of Exploration Geophysicists (SEG) Interpretation Journal, May 2015 issue.

MAURICIO ARAYA POLO

Total E&P

"Computational Aspects of ML-based Geosciences Applications"

Mauricio is a Senior Computer Scientist and leader of the HPC & ML team at Total E&P R&T USA. He is also Adjunct Professor at the Computational and Applied Mathematics Department, Rice University. He is also lecturer with the Professional Science Master's Program at the Weiss School of Natural Science of Rice University, where he teaches computational geophysics. Previously, he lead Machine Learning for Geophysics efforts at Shell International E\&P Inc. Before that, he worked for Repsol USA researching on near real-time visualization/computing and HPC for geophysical algorithms. Before that position, he was senior computer scientist at Barcelona Supercomputing Center for the Kaleidoscope project, which received the IEEE award for technology of the year in 2008, and the Platts Award, a prize for innovation given by Petroleum Economist magazine. He holds a PhD and MSc from INRIA-UNSA in France and Computer Engineering degree from the University of Chile.