2nd Joint SBGf-SEG Workshop on Machine Learning

12–13 May 2020 | Rio de Janeiro

Early bird savings end 15 April 2020!

About

12–13 May 2020
Rio de Janeiro, Brazil

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 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]

Kay Baker
SEG
Email: [email protected]

Attend

Early Bird Registration Fee (expires 15 April 2020)
US $325 (member, non-member, student member, student non-member)

Full Registration Fee (begins 16 April 2020)
US $400 (member, non-member, student member, student non-member)

Cancellation Policy

Requests to cancel a registration must be submitted in writing to [email protected] prior to 12 April 2020 (midnight CDT) will be processed less a $50 service fee. SEG will not provide refunds, including those due to visa denial, after 12 April 2020.

Workshop Venue

JW Marriott Hotel
Meeting room: Wayana Ballroom
Ave. Atlântica, # 2600
Copacabana, Rio de Janeiro - RJ, Zip Code: 22041-001
Phone: (21) 2545-6500

Hotel Room Rate & Method of Reservation

R$ 682, 00 (deluxe atrium room) plus taxes; Breakfast is included

For hotel reservation, please contact reservation department by phone:
0800 703 1512 / +55 11 3069-2807 or email: [email protected].

Please mention the meeting name to guarantee the special rate.

Cutoff date for special workshop rate: 14 April 2020

Visa Information/Invitation Letter

Participants in the workshop may generate an official invitation letter from SEG. This form will generate a letter that you can print and use if required. For visa requirements for entering Brazil, contact the Brazilian embassy nearest you. Please note that SEG does not guarantee that you will be granted a visa, nor does it commit SEG to pay any expenses you may incur. It is the sole responsibility of the attendee to obtain the necessary paperwork for entry to Brazil.

Call for Abstracts

Call for Abstracts Deadline: 17 January 2020
Notification of Acceptance: 15 February 2020

Submit abstract now.

Suggested Topics

  • Machine Learning Theory
  • Applications to Seismic Processing
  • Applications to Seismic Interpretation
  • Applications to Reservoir Characterization
  • Case studies in Geoscience
  • Case studies in Reservoir Engineering
  • Future Trends

Each abstract should contain the following:

  1. Title
  2. List of authors with an * immediately after the name of the presenting author
  3. Times New Roman font size 12, single spaced in PDF or Word file format
  4. Should be 1 to 2 pages long (not counting references) with at least 1 image

No show policy:
Submission of an abstract constitutes agreement that the presenting author indicated on the abstract will attend the event and present their work.

Contacts for abstract assistance

Renata Vergasta: [email protected]

Laurie Whitesell: [email protected]

Sponsorship Opportunities

Become a Sponsor

Sponsorship opportunities are available for this highly-anticipated 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* 
    • Program
    • Workshop opening slide
    • Global signage

SILVER — US$7,000

  • Company logo on the workshop webpage with sponsor item identified
  • Company logo on the following material for the workshop*
    • Program
    • Global signage

BRONZE — US$5,000

  • Company logo on the workshop webpage with sponsor item identified
  • Company logo on the following material for the workshop*
    • Program
    • Global signage

ICEBREAKER RECEPTION — US$3,000

  • Company logo on the workshop webpage with sponsor item identified
  • Company logo on the following material for the workshop*
    • Program
    • Company logo displayed during the icebreaker reception

GENERAL — US$500

  • Company logo on the workshop webpage with sponsor item identified

Register now

Important Documents

Important Dates

Early bird savings end:
15 April 2020

Call for Abstracts closed:
17 January 2020

Notification of Acceptance:
15 February 2020

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