2nd Joint SBGf-SEG Workshop on Machine Learning

10–11 November 2020 | Virtual Workshop

Early bird savings end 9 October!

About

10–11 November 2020
Virtual Workshop

Machine Learning (ML) is a field of Artificial Intelligence that has experienced rapid growth in the last ten years across diverse industries, including communications, financial services, security, transportation, and others. Applications of ML have produced dramatic results, enabling new opportunities and business models. Driving the adoption of ML 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. ML facilitates an understanding of complex relationships among a large and diverse set of variables, valuable for generating and validating models and answering scientific questions. ML 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.

Workshop Objective

This virtual 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
  • Michael Dunn, Geophysical Insights

Technical Committee

  • Daniel Miranda, Petrobras
  • Yang Xue, Shell
  • Alexandre G. Evsukoff, UFRJ
  • Edson Borin, UNICAMP
  • João Paulo Peçanha, NVIDIA
  • Aurélio Figueiredo, Metta Innovations

Contact

Renata Vergasta
SBGf
Email: [email protected]

Laurie Whitesell
SEG
Email: [email protected]

Attend

Early Bird Registration Fee (expires 9 October 2020)
USD $140 - Associate Professional
USD $40 - Associate Student
USD $160 - Non-Associate Professional
USD $30 - Non-Associate Student

Full Registration Fee (begins 10 October 2020)
USD $160 - Associate Professional
USD $40 - Associate Student
USD $200 - Non-Associate Professional
USD $40 - Non-Associate Student

Sponsorship Opportunities

Become a Sponsor

Sponsorship opportunities are available for this highly-anticipated virtual workshop. For more information regarding the workshop or sponsorship opportunities, please email Laurie Whitesell at [email protected] To sign up as a sponsor, complete the application on the second page of this document and fax it to +1 918-497-5558. Due to security concerns, please do not email the second page of this document. (Multiple sponsorships available for each level.)

GOLD — US$10,000

  • Company logo on the workshop webpage with sponsor item identified
  • Opportunity to place printed recognition handout at workshop
  • Company logo on the following material for the workshop* 
    • Virtual program
    • Workshop opening slide
    • Vendor lunch

SILVER — US$7,000

  • Company logo on the workshop webpage with sponsor item identified
  • Company logo on the following material for the workshop*
    • Virtual program
    • Vendor break

BRONZE — US$5,000

  • Company logo on the workshop webpage with sponsor item identified
  • Company logo on the following material for the workshop*
    • Virtual program

GENERAL — US$500

  • Company logo on the workshop webpage

*All sponsorship forms and payments must be received by 6 October 2020 to appear on signage and programs.

Register now

Important Documents

Important Dates

Early bird savings end:
9 October 2020

Call for Abstracts closed:
17 January 2020

Notification of Acceptance:
15 February 2020

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8801 S. Yale Ave. Suite 500
Tulsa, OK 74137
Phone: 918-497-5500
Email: [email protected]

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