Join thought leaders and innovators using Machine Learning applications in oil and gas.
30 OCTOBER 2019
Program
Wednesday, 30 October 2019
7:30 – 8:30 AM
Breakfast, Networking and Check-in
8:30 – 8:45 AM
Introduction
Hal Green
Geophysical Insights
Laura Cuttill
Oil & Gas Machine Learning Symposium
8:45 – 9:30 AM
Delivering Impactful AI Innovation in Upstream
David Holmes
Chief Technology Officer – Energy, Dell EMC
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9:45 – 10:30 AM
Breakout Session 1
Exploration and Development – Machine Learning Applications
Describing the Reservoir: Seismic Machine Learning and Data Analytics
Dr. Mike Brhlik
Staff Geophysicist, ConocoPhillips
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Reservoir Engineering – Machine Learning Applications
Subsurface Diagnostic Analytics: What Could Machine Learning Tell You About Frac Hits?
Dr. Ali Shahkarami
Senior Engineer/Reservoir Analytics Lead, Baker Hughes
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Supporting Technologies
Are You on the Edge?
Kenneth Hester
Solutions Architect Manager, NVIDIA
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Research and the Future of Machine Learning
Artificial Intelligence: A Knowledge-Enhanced Machine Learning Approach
Dr. Ulisses Mello
Director – Research, Brazil, IBM
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10:45 – 11:30 AM
Accelerating Seismic Interpretation Task
Dr. German Larrazabal
R&D Geophysics Advisor, Repsol Technology Lab
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11:30 – 1:00 PM
Lunch
Will Machine Learning “profoundly” Change Geoscience Interpretation? – an Interpreter’s Perspective
Rocky Roden
Sr. Geoscience Consultant, Geophysical Insights
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1:00 – 1:45 PM
Breakout Session 2
Exploration and Development – Machine Learning Applications
The Unconventional Revolution in Exploration Geophysics
Nancy House
Past SEG President (2018-2019)
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Reservoir Engineering – Machine Learning Applications
Machine Learning Applications and Use Cases in Reservoir Engineering
Sarath Ketineni
Senior Reservoir Engineer, Chevron
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Supporting Technologies
Make Deep Learning Accessible to Seismic Interpreters
Dustin Dewett
Product Manager, Geophysical Insights
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Research and the Future of Machine Learning
Finding the Best Attribute Combination for Seismic Facies Classification
Dr. Kurt Marfurt
Principal Investigator (AASPI Consortium), The University of Oklahoma
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2:00 – 2:45 PM
Breakout Session 3
Exploration and Development – Machine Learning Applications
The Application of Machine Learning and Deep Learning in a Complex Depositional Environment
Camilo Sierra
Geology and Geophysics Manager, Lewis Energy
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Reservoir Engineering – Machine Learning Applications
Real Time Fluid Tracking: the Missing Link for Frac Modeling Machine Learning Frameworks
David Moore
President and CEO, Deep Imaging
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Supporting Technologies
Trends and Applications of Cognitive Computing in Geoscience and Production Optimization
Dariusz Piotrowski
Global Cognitive Solutions Development Leader, IBM
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Research and the Future of Machine Learning
Machine Learning in Oil & Gas – Moving From Hype to Reality
Hani Elshahawi
Digitalization Lead – Deepwater Technologies, Shell
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3:00 – 3:45 PM
AI Trend in Oil & Gas
Dr. Arvind Sharma
VP of Data & Analytics, TGS
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4:00 – 4:30 PM
Panel Discussion: Navigating Digital Transformation – Best Practices for Career & Enterprise
The panel will address timely questions like:
- What are some of the barriers to digital transformation of the E&P industry?
- What are recommendations to those pivoting careers to AI and data science?
- What is the current state of the industry in adopting AI technologies?
Moderator : Dr. Tom Smith
President and CEO, Geophysical Insights
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Rob Schapiro
Principal Program Manager – Azure Energy, Microsoft
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Neil Panchal
Principal Data Scientist, Quantum Black, a McKinsey company
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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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4:30 – 5:30 PM
Networking Reception
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