Agenda: Machine Learning in Oil & Gas 2021

Wednesday, April 14, 2021
7:45 AM - 9:00 AM																Registration
9:00 AM - 9:10 AM																Chairman’s welcome Dave Lafferty - Scientific Technical Services
9:00 AM - 5:00 PM																Live Streaming for Day 1
9:10 AM - 9:40 AM																Keynote presentation: the current status of machine learning in oil and gas: current trends, innovations and future opportunities Deanna Zhang - Tudor, Pickering, Holt & Co
9:40 AM - 10:20 AM																Tech focus: an overview of the latest, transformational machine learning technologies to drive efficiency and productivity Dr.Robello Samuel - Halliburton Dr. Mohamed Sidahmed - Shell Kevin Mackie - Siemens Energy Daniel Viassolo - Schlumberger Sylvain Calisti - Kayrros
10:20 AM - 10:40 AM																Morning coffee
10:40 AM - 11:20 AM																Panel discussion: machine learning case studies and practical insight in the brave new world of Covid-19 David Crawley - Catalina Herrera - TIBCO Kalyan Venugopal - Schlumberger Philip Black - Wood
11:20 AM - 11:50 AM																Measuring Data Performance in the Digital Oilfield Curley Thomas - Chevron
11:50 AM - 12:20 PM																Digital Enablement - The Key to Success to Drive Your Digital Transformation Graeme Gordon - Hess
12:20 PM - 1:20 PM																Lunch and networking
1:20 PM - 1:50 PM																21st Century Evolution of AI for Energy Production Steve Roemerman - Lone Star Analysis
1:50 PM - 2:30 PM																Panel discussion: How AI is transforming the Oil & Gas industry Konrad Konarski - AI Innovation Consortium Adam Singer - ExxonMobil Shashank Tomar - Tex-isle Supply Inc
2:30 PM - 3:00 PM																Lead AI-Powered Autonomous Oil and Gas Manufacturing with Deep Learning Optimization Dr. Roberto Linares - Petuum Inc.
3:00 PM - 3:20 PM																Afternoon tea
3:20 PM - 3:50 PM																From Bots to Business: Using AI to solve real-world problems at scale Jonathan Arneault - FuelTrust
3:50 PM - 4:20 PM																Accessing legacy data silos across firewalls and validating it for analytical purposes Philippe Flichy - Keross
4:20 PM - 4:30 PM																Close of Day 1 Dave Lafferty - Scientific Technical Services
Thursday, April 15, 2021
8:00 AM - 8:30 AM																Revolutionizing asset performance and reliability with machine learning Julian Zec - Maersk Drilling
8:35 AM - 8:50 AM																Aligning people, process and technology: achieving alignment between machine learning and skills transformation Michael Yoho - CNX Resources
9:00 AM - 9:40 AM																Panel discussion: Covid-19 : the new normal for oil and gas and the implications on machine learning Behrooz K-Hosseini - Saskatchewan Research Council Dave Shook - Uptake Technologies Cetin Karakus - bp
9:45 AM - 10:15 AM																The State of the Edge: The Impact of Edge-based AI in Oil & Gas Sastry Malladi - FogHorn
10:15 AM - 10:45 AM																Break
10:45 AM - 11:15 AM																Playing the Data Translator role, "in advance", to encourage adopting Artificial Intelligence for adding value across an Oil & Gas E&P Asset Juan Esteban Barreiro Gomez - Repsol
11:20 AM - 11:50 AM																The Science of Where – Unlocking Data’s Full Potential Mansour Raad - Esri Brian Boulmay - Esri
11:55 AM - 12:25 PM																BHP Atlantis project: Geoteric AI Fault Detection: A Subsalt Example Hugo Garcia - Geoteric Kelly Wrobel - BHP
12:25 PM - 1:00 PM																Lunch
1:00 PM - 1:30 PM																Finance Digital Transformation– Delivering Business Results Monika Mangla - Chevron
1:35 PM - 2:05 PM																Leveraging Machine Learning to Thrive in the New Oil & Gas Reality John Sturdivant - DataRobot
2:10 PM - 2:40 PM																Applied Machine Learning: Automation & Optimization Fakhri Landolsi, Ph.D. - Equinor
2:40 PM - 3:00 PM																Break
3:00 PM - 3:30 PM																Machine Learning Demystified: when to invest in your own AI solution in Oil & Gas Iurii Milovanov - SoftServe
3:35 PM - 4:05 PM																Forecasting Offshore Platform Integrity: Applying Machine Learning Algorithms to Quantify Lifespan and Mitigate Risk Alec Dyer - National Energy Technology Laboratory/Leidos Research Support Team Lucy Romeo - National Energy Technology Laboratory/Leidos Research Support Team
4:10 PM - 4:40 PM																Leveraging proactive predictive maintenance strategies to improve asset reliability and precision whilst minimizing downtime Keith Holdaway - SAS Institute

Time Zone: (UTC-05:00) Central Time (US & Canada) []