Será realizado no Rio de Janeiro, nos dia 15 e 16 de Maio de 2018, o SBGf/SEG Workshop on Machine Learning.

About

Machine Learning (ML) is a field of Artificial Intelligence (AI) that has experienced rapid growth in the last ten years across diverse industries, including communications, financial services, security, transportation, and others.

Applications of Machine Learning have produced dramatic results, enabling new opportunities and business models.  Driving the adoption of Machine learning are the volume and velocity of information, the application of deep learning techniques, and economic computing power.

Applied to geoscience, these data-driven approaches are complementary tools for physical-based modeling, simulation, and inversion. Machine Learning facilitates an understanding of complex relationships among a large and diverse set of variables, valuable for generating and validating models and answering scientific questions.

Machine Learning can enable fast high-quality decisions in the Oil & Gas industry, an essential component for viability given the industry’s long-term outlook.

Geoscience datasets are among the largest volumes of data in the industry. The data has a wide spectrum of properties with scales varying over many orders of magnitude.

This workshop will discuss the challenges, opportunities, and trends related to the adoption of Machine Learning in Geoscience research and industrial workflows. Professionals from academia,

Oil & Gas, and technology companies will present applications and case studies, promote discussion, and propose practical solutions to take greater advantage of Machine Learning methods.

General Co-Chairs

• Pedro Mário Cruz e Silva (NVIDIA)
• Klaus Soffried (Geophysical Insights)

Venue

Golden Tulip Hotel
Copacabana, Rio de Janeiro

Jointly organized by SEG and SBGf

Important dates

1 November 2017 opens  Call for abstracts

1 December 2017 – Early registration OPENS

30 January 2018 – Call for abstracts CLOSES

26 March 2018 – Early registration CLOSES

Sponsored by NVIDIA

More info: click here