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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