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AI, Machine Learning and Analytics for Subsurface Energy

Tuesday, 10 December Wednesday, 11 December 2024, 8:00 a.m.–7:00 p.m.  |  Houston, Texas

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Join us to learn how generative AI, Large Language Models, and machine learning are giving geoscientists and engineers the tools to accelerate the time to “first oil,” make more accurate maps and reservoir models, and more quickly develop other subsurface uses, including geothermal, CCUS, energy storage, critical minerals, geologic hydrogen, and more. We need geoscientists, now more than ever, to make this work.

Who Should Attend?

This event is ideal for geoscientists, engineers, data scientists, business development professionals, technology innovators.

What You’ll Learn

You will learn how to develop your super-powers, and how to create the best types of teams to achieve the outcomes you need, whether it be from exploring in new frontiers, to better developing existing reservoirs and gearing up for new subsurface use cases.

If you’re fairly new to AI, we’ll start by having a review of what’s under the hood, which will include data types, formats, meta-tags, large language models, foundation models, training, the difference between AI and machine learning, and deep learning, algorithms, programming languages, and more.  You’ll learn how and why this knowledge comes into play as you are introduced to the members of teams, and learn more about the important role of the geoscientist – the domain expert.

We will take a deep dive into what AI can do for you, now and in the near future.  We’ll also review the limitations of AI and learn from people with hands-on experience about what they were able to do with AI in subsurface energy.

We’ll also dig into data sets, including seismic, petrophysics, well logs, production information, geographic information systems, and more and show how they are used in AI and machine learning applications.  What is the best way to make sure your data is fit for use?  Where can you find it, and what are ways to save time and money?  Included will be reviews of data repositories, cloud-based applications, getting data in a format you can use, and testing the results.  In each case, we’ll go over why a geoscientist must be at the heart of all if it, and how the geoscientist will help assure accuracy, rapid results, and better economics.

Format of Presentations
  • Keynotes (brief)
  • Presentations that cover the foundations (identify / define)
  • Presentations that cover use cases and how-to (apply)
  • Panels on hot topics
  • Presentations that encourage questions – interactive
  • Try It Out!  Brief Hands-on Demos / the future
 
DAY 1:
Put Generative AI to Work: Driving Breakthroughs in Upstream Oil and Gas Today
  • What AI can do for the geoscientist, now and in the future
  • How AI can get you to first oil up to 30% faster
  • How AI can help you increase efficiency and make geologists and engineers even more valuable
  • The Geos and the Engineers Are the Heroes (Panel)
  • Why AI is a powerful tool requiring expert input
  • AI and Machine Learning: A Look Under the Hood
  • Data sets: Where, what, and how they are used
  • Where AI is making a difference to geoscientists: Examples / Case Studies
  • Interactive Q&A throughout the day with experts moderating online (SLIDO)
DAY 2
Identifying and Overcoming Pain Points and Turning them into Real Solutions
  • Making your data fit for use: seismic, petrophysics, production, geological, well logs, production, GIS, geosteering, pressure, temperature, and more
  • Legal and ethical realities of data, generative AI, and machine learning
  • Multi-purposing data: Subsurface energy - oil and gas, geothermal, CCUS, energy storage, and more
  • OSDU, Open Footprint, and other
  • Workflows: Turning pain points into solutions
  • 2D-3D-4D seismic
  • Reservoir characterization for multiple uses
  • Geoscientists and engineers tackle data quality, harmonization, cleansing, classification, rapid ingestion, smart ingestion for faster, more accurate results
  • Interactive Q&A throughout the day with experts moderating online (SLIDO)

Day 1
Put Generative AI to Work: Driving Breakthroughs in Upstream Oil and Gas Today
8:15–8:45 am Keynote: What AI Can Do for the Geoscientist, Now and in the Future: Faster to First Oil, Increase Efficiency, Boost the Value of Geos and Engineers
Kim Padeletti, AWS
8:45–9:15 am AI and Machine Learning: A Look Under the Hood: Definitions and Explanations of Terms, Clarifications
John Foster, Univ of Texas - Austin
Pushpesh Sharma, Aspentech
Birol Dindoruk, University of Houston
9:15–10:00 am Data Sets: Where, What, and How They Are Used in Generative AI and Machine Learning
Bryan McDowell, Sabata
Galen Dillewyn, NuTech
John Boden, I2K Connect
10:00–10:30 am Networking Break
10:30–11:15 am Panel: The Geos and the Engineers Are the Heroes
Jacob Umbriaco, Subsurface Digital Platform & Services Manager, Chevron
Nefeli Moridis, Head of Subsurface Global Energy Team, NVIDIA
Toby Burrough, Assoc. Director, Product Management, S&P Global
11:15–12 Noon High Success-Rate Oil and Gas Exploration with M/L
Machine Learning for Engineers: Accurate Reserves Calculations and Visualizing Depletion
Deborah Sacrey, President AAPG
"Bird Dog" Data to Enable Continuous Improvement
Nathan Zenero, WellDrive
AI-Powered Geosteering
Julian Chenin, Rogii
12 Noon–1 pm Lunch
1:00–1:30 pm Touchpoint 1: Not All Gen AI Is Created Equal - Making it Fit for Purpose
1:30–2:15 pm Gen AI and M/L to Fast-Track New Energy Solutions
Data Repurposing for the New Energy
Sougata Halder, Interpretation Project Manager, TGS
AI Enhanced Subsurface Characterization and Its Application to Geothermal Exploration
Yueqin Huang, University of Houston
Geological Carbon Storage Site Screening Using Machine Learning
Kun Wang, Sr. Research Associate, ExxonMobil
2:15–3:00 pm Where AI Is Making a Difference to Geoscientists: Examples / Case Studies
Incorporating SME Knowledge into a Causal AI Model to Reduce Uncertainty in Fluid Property Estimation
Blake Bixler – Senslytics
Hamed Soroush, Teverra
Application of LLMs and GenAI in Energy Industry Workflows
Sunil Garg, DataVedik
3:00–3:30 pm Networking Break
3:30–4:15 pm Panel: Geothermal and AI
Elizabeth Cambre, Vallourec
John Holbrook, TCU
Sirish Dadi, Fervo
4:15–5:00 pm Gen AI and Machine Learning Round-up: Focus on the Tasks
Facilitators + Audience participation
5:00–7:00 pm Networking Reception
DAY 2:
Identifying and Overcoming Pain Points and Turning them into Real Solutions
8:15–8:45 am Keynote: Trends in Geoscience Technology - Today and in the Near Future
Rocky Roden, Rocky Ridge Resources
8:45–9:15 am Touchpoint 1: Turning Pain Points Into Solutions
Klaas Koster, Vice President, Subsurface Innovation & OXY Fellow, OXY
Chris Hanton, Senior Product Manager, AWS
9:15–10:00 am AI-Powered Data Sets
Rapid Integration of Stratigraphic Concepts with Seismic Inversion, Well Logs, and Core data in a Machine Guided Subseismic Reservoir Characterization
Edward Susanto, Technology Development Supervisor, ExxonMobil
Leveraging Advanced Technologies to Extract and Transform high Volumes of Data
Matthew Fry, Digital Geology Manager, Viridien
Myank Tyagi, Chevron Designated Professor, Louisiana State University
10:00–10:30 am Networking Break
10:30–11:15 am Making Your Data Fit for Use: Seismic, Petrophysics, Production, Geological, Well Logs, Production, GIS, Geosteering, Pressure, Temperature
Patrick Kelly, Product Line Manager, Subsurface Data and Insights, Chevron
Galen Dillewyn, NuTech
11:15–12:00 am Real-Time Data Collection: Sensors
David Tonner, DWL
Oleg Mikhailov, Xplorobot
12:00–1:00 am Lunch
1:00–1:45 am Touchpoint 2: Turning Painpoints into Solutions
Chris Hanton, AWS
1:45–3:00 am Multi-Purposing Data: Subsurface Energy - Oil and Gas, Geothermal, CCUS, Energy Storage
Sunil Garg, DataVedik
Chris Gabriel, AWS
Ching Yang, Net Zero Matrix
Jane Wheelwright, DGI
Collaboration and Interoperability in Carbon Accounting Using Open Footprint and OSDU
Mohamed Khalil, Geoscience & Geomodeling, Murphy Oil
Ana Krueger, Bluware
3:00–3:30 am Networking Break
3:30–4:15 am Panel: Workflows: Turning pain points into solutions
Sashi Gunturu, CEO, Petrabytes
Camilo Mejia, Founder and CEO, Enovate
Eric Blaszczyk, Impac Exploration Services
Jessica Kalynn, Rock Flow Dynamics
4:15–5:00 am Touchpoint 3: Turning Painpoints into Solutions: New Solutions / Processes / Approaches
Where Do We Go From Here ? Mapping the Future Exercise
Legal and Ethical Realities of Data, Generative AI, and Machine Learning
 
AI, Machine Learning and Analytics for Subsurface Energy
Norris Conference Center
816 Town & Country Lane, Suite 210
HoustonTexas 77024
United States
(713) 590-0950
 
AAPG Accommodation Rates
The Moran Hotel at CityCenter
Moran Hotel Houston Tx
Rate:
Single/Double $189 + 17% tax
Fees:
Destination Fee
$15.00 per-room/per-day
Price Includes:
Standard wi-fi
Continental Breakfast
Garage Parking (3rd Level)
Free local and toll-free calls
Complimentary Water (2)
Fitness Center
Booking Deadline:
16 November 2024
Book Accommodations
 
Member* Early $595
Member* Onsite $695
Non-Member Early $695
Non-Member Onsite $795

* Active AAPG Member in good standing.


Fee Includes

Coffee breaks and buffet lunch both days, and end-of-day reception on Tuesday.

Registration/Payments/Cancellations

No refunds will be issued after 27 November 2024. Participants who are unable to attend the event may designate a substitute to attend in their place. Cancellations, substitution requests and registration questions should be sent to Customer Service at [email protected]

 
Exhibit and Sponsorship Opportunities

Spotlight your brand and connect with the global geoscience community and members of the energy industry.

Benefits by Level Platinum
$7,500+
Gold
$5,000+
Silver
$2,500+
Bronze
$1,500+
On-Site Recognition
Appearance on Website
Logo in event promotion emails
Tabletop Exhibition Space  
Complimentary Full Conference Registration(s) 2 (two) 1 (one) 1 (one)  
Featured in Social Media Posts    
Pre or Post Workshop email targeted to registered attendees      
 
Deborah K. Sacrey Deb Sacrey , AAPG, USA
Galen Dillewyn Galen Dillewyn NUTECH, USA
Matthew Roger Fry Matthew Fry Senior Data Geoscientist, Viridien, UK
Bryan McDowell Bryan McDowell Managing Partner, Sabata Energy Consultants, USA
Kimberly Padeletti Kimberly Padeletti Head of OSDU, AWS, USA
Yuxing Ben Yuxing Ben data scientist, OXY, USA
Mohamed Khalil Mohamed Khalil Sr. Staff Geologist, Murphy Oil Company, USA
Pushpesh Sharma Pushpesh Sharma AspenTech
Birol Dindoruk Birol Dindoruk University of Houston
Ayon Dey Ayon Dey Mathworks
Camilo Mejia Camilo Mejia Enovate, USA
Mayank Tyagi Mayank Tyagi Dr., Louisiana State University, USA
Jacob Thomas Umbriaco Jacob Umbriaco Chevron, USA
Sougata Halder Sougata Halder TGS, USA
John Foster John Foster UT Austin
Emovigho Neil Omonigho Emovigho Omonigho Specialist, Geophysicist, ADNOC, United Arab Emirates
Susan Nash, Ph.D. Director, Innovation and Emerging Science and Technology
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The American Association of Petroleum Geologists (AAPG) does not endorse or recommend any products and services that may be cited, used or discussed in AAPG publications or in presentations at events associated with AAPG.