Join thought leaders and innovators using Machine Learning applications in oil and gas.

30 OCTOBER 2019

Program

Wednesday, 30 October 2019

 

Breakfast and Networking

7:30 – 8:15 AM

Plenary Session

The morning plenary session hosts visionaries in oil & gas and tech companies share how AI, deep learning, and machine learning technologies, in general, are being leveraged to extract time from critical workflows, from seismic to reservoir models. These thought-leaders will set out how their teams are adopting machine learning technology to enable digital transformation and increase agility.

8:15 – 11:59 AM

Phillip Jong

Chairman, Open Subsurface Data Universe Forum

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David Holmes

Chief Technology Officer – Energy, Dell EMC

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Dr. Arvind Sharma

VP of Data & Analytics, TGS

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Lunch with Keynote Speaker

12:00 – 1:20 PM

Rocky Roden

Sr. Geoscience Consultant, Geophysical Insights

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Afternoon Breakout Sessions

1:20 – 3:55 PM

Exploration and Development - Machine Learning Applications

Attend the Applications track to hear case studies on the application of machine learning technologies in different geologic settings to identify and develop prospects, reduce the interpretation lifecycle, and minimize risk.  Engage with data scientists, geoscientists, and engineers as they share their practical experience with supervised learning, unsupervised learning, and deep learning methods to identify reservoir characteristics in conventional and unconventional geologic settings.

Mike Brhlik

Staff Geophysicist, ConocoPhillips

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Camilo Sierra

Geology and Geophysics Manager, Lewis Energy

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Nancy House

Past SEG President (2018-2019)

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Reservoir Engineering - Machine Learning Applications

Engineering and production have been one of the first areas to be impacted by machine learning.   Attend this track to hear about some of the promising applications and early successes from machine learning projects applied to reservoir characterization, reserve and resource calculations,  confirmation of productive areas, and production efficiencies.

David Moore

President and CEO, Deep Imaging

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Dr. Ali Shahkarami

Senior Engineer/Reservoir Analytics Lead, Baker Hughes, a GE Company

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Sarath Ketineni

Senior Reservoir Engineer, Chevron

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Supporting Technologies

The Technology track provides a platform for innovators from E&P companies, technology companies, and service companies to present solutions to pervasive challenges in exploration, field development, and reservoir characterization by leveraging machine learning.  Join the Technology track to learn more about the tools and infrastructure that are foundational to digital transformation, including cloud-based service-oriented architectures, GPU processing, and dynamic high-performance computing (HPC).

Dustin Dewett

Product Manager, Geophysical Insights

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Kenneth Hester

Solutions Architect Manager, NVIDIA

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Dariusz Piotrowski

Global Cognitive Solutions Development Leader, IBM

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Research and the Future of Machine Learning

Hear researchers from industry and academia describe the forefront of AI, machine learning, deep learning, and computer engineering.  Learn about geoscience and engineering technologies that are just over-the-horizon but set to impact the near future of the oil & gas industry.

Hani Elshahawi

Digitalization Lead – Deepwater Technologies, Shell

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Dr. Kurt Marfurt

Principal Investigator (AASPI Consortium), The University of Oklahoma

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Ulisses Mello

Director – Research, Brazil, IBM

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Panel Discussion: Navigating Digital Transformation – Best Practices for Career & Enterprise

4:05 – 5:00 PM

Moderator: Dr. Tom Smith

President and CEO, Geophysical Insights

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Dr. Lennart Johnsson

Distinguished Chair of Computer Science, Mathematics, and Electrical & Computer Engineering, The University of Houston

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Neil Panchal

Principal Data Scientist, Quantum Black, a McKinsey company

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Dr. Fersheed Mody

Director, Global Research and Development, Apache Corporation

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Networking Reception

5:00 – 6:00 PM

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