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Generative AI, Machine Learning and Analytics for Subsurface Energy

Tuesday, 10 December 2024, 8:00 a.m.–5:00 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
7:00–8:00 am Registration, Badge Pick-up, Welcome Coffee
8:00–8:15 am Welcome
8:15–8:45 am Keynote: What Generative 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
8:45–9:30 am Generative AI and Machine Learning: A Look Under the Hood: Definitions and Explanations of Terms, Clarifications
The Fundamentals of Generative AI and Machine Learning That Pertain to Geologists and Engineers
John Foster, Univ of Texas - Austin
A Practical Framework for Applying Language Models to Your Information
Paul Cleverley, Robert Gordon University
Birol Dindoruk, University of Houston
9:30–10:15 am Data Sets and Software: Where, What, and How They Are Used in Generative AI and Machine Learning
Challenges using ML and AI for Historical Datasets
Bryan McDowell, Sabata
Challenges in Generational Data and Impacts on Analysis
Galen Dillewyn, NuTech
Source Rock Maturity Modeling Using ML-Based ExCaliber Software Offshore Guyana-Suriname and Morocco
Kenneth Shipper, University of Houston
10:15–10:30 am Networking Break
10:30–11:15 am Panel: The Geos and the Engineers Are the Heroes: How and Why Geoscientist and Engineering Domain Expertise Is the Key to Success With AI and Machine Learning
Moderator: Toby Burrough, Assoc. Director, Product Management, S&P Global
Stephen Bowman, General Manager of Enterprise AI, Chevron
Nefeli Moridis, Head of Subsurface Global Energy Team, NVIDIA
Ricardo Soto, Senior Data Scientist / SME Petroleum Engineering, Smartbridge
11:15–12:15 High Success-Rate Oil and Gas Exploration with Machine Learning
Machine Learning for Engineers: Accurate Reserves Calculations and Visualizing Depletion
Deborah Sacrey, President AAPG
"Bird Dog" Data to Enable Continuous Improvement
Derek Garland, WellDrive
AI-Powered Geosteering
Igor Kuvaev, Rogii
Leveraging AI for Comprehensive Channels and Facies Interpretation: A New Zealand Case Study
Ana Krueger, Bluware
12:15–1:00 pm Lunch
1:00–1:15 pm Touchpoint 1: Not All Gen AI Is Created Equal - Making it Fit for Purpose
Nate Suurmeyer, ThinkOnward
Mik Isernia, ThinkOnward
1:15–2:15 pm Gen AI and Machine Learning to Fast-Track New Energy Solutions
Harness the Power of Data with Advanced Analytics and AI/ML
Sougata Halder, Interpretation Project Manager, TGS
AI Enhanced Subsurface Characterization for Energy Security and Transition
Yueqin Huang, University of Houston
AI Application to Geothermal Development
Patrick Ng, ShaleForce
Geological Carbon Storage Site Screening Using Machine Learning
Kun Wang, Sr. Research Associate, ExxonMobil
2:15–3:15 pm Where AI Is Making a Difference to Geoscientists: Examples / Case Studies
Harnessing Machine Learning to Enable Geomechanical Characterization without Well Logs
Hamed Soroush, Teverra
Application of Large Language Models and GenAI in Energy Industry Workflows
Sunil Garg, DataVedik
Leveraging AI for Facies Prediction
Piyush Kumar, CGI
The Importance of Domain Awareness: Results from Test with 100 Individual Users
Eric Schoen, i2KConnect
3:15–3:30 pm Networking Break
3:30–4:15 pm Panel: Geothermal and AI
Moderator: Elizabeth Cambre, Vallourec
John Holbrook, TCU
Sirish Dadi, Fervo
Yueqin Huang, University of Houston
4:15–5:00 pm Gen AI and Machine Learning Round-up: Focus on the Tasks
Upskilling the Geoscience Community with AI and LLM tools and workflows
Mik Isernia and Nate Suurmeyer, ThinkOnward
Facilitated discussion with audience
5:00–7:00 pm Networking Reception
DAY 2:
Identifying and Overcoming Pain Points and Turning them into Real Solutions
7:00–8:00 am Registration, Badge Pick-up, Welcome Coffee
8:00–8:15 am Welcome
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
Oxy’s Journey So Far and Into the Future
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
Leveraging Generative Adversarial Networks on Seismic Datasets for Monitoring Underground CO2 Plumes
Ayman Said, Richard Hughes, and Mayank Tyagi (presenter), 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
Streamline and Optimize: Preparing Data for AI from Seismic to Geosteering
Jenni LaRue, Chevron
Streamline and Optimize: Preparing Data for AI from Seismic to Geosteering
Patrick Kelly, Product Line Manager, Subsurface Data and Insights, Chevron
Harnessing Causal AI and SME Insights for Reliable Fluid Property Forecasts
Blake Bixler, Senslytics
Making Seismic Data Fit for Use, Including CCUS Applications
Aria Abubakar, SLB
11:15–12 Noon Real-Time Data Collection: Sensors
Moderator: Mik Isernia
RoboLogger AI ML
David Tonner, DWL
Application of AI in Methane Detection
Oleg Mikhailov, Xplorobot
Harnessing Real-Time Data and Beyond: Standardizing Insights in Oil & Gas Operations
Mike Ramirez, NthDS
12 Noon–1:00 pm Lunch
1:00–1:45 pm Touchpoint 2: Turning Painpoints into Solutions
AI Governance and Guardrails
Nashlie Sephus, AWS
1:45–3:00 pm Multi-Purposing Data: Subsurface Energy Case Studies – OSDU, Oil and Gas, Geothermal, CCUS and Energy Storage
Collaboration and Interoperability in Carbon Accounting Using Open Footprint and OSDU
Sunil Garg, DataVedik
Chris Gabriel, AWS
Ching Yang, Net Zero Matrix
Jane Wheelwright, DGI
Digital Tools for CCS Conformance Verification
Ishtar Barranco, Chevron
Subsurface Solutions in Understanding Carbonates
Deborah Sacrey, Auburn Energy
Operationalizing Heavyweight AI Models: From R&D to Scalable Cloud Deployment, a Shell Use Case
Eddie Garcia, Bluware
3:00–3:30 pm Networking Break
3:30–4:15 pm Panel: Workflows: Turning Pain Points Into Solutions
Sashi Gunturu, CEO, Petrabytes
Nate Suurmeyer, ThinkOnward
Piyush Kumar, CGI
Camilo Mejia, Founder and CEO, Enovate
Mohamed Khalil, Geoscience & Geomodeling, Murphy Oil
4:15–5:00 pm Touchpoint 3: Turning Painpoints into Solutions -- New Solutions / Processes / Approaches
Where Do We Go From Here ? Mapping the Future Exercise
Kim Padeletti
Chris Hanton
Mik Isernia
Nate Suurmeyer
Posters

Posters available both days of the workshop

Leveraging Remote Sensing Data and Machine Learning for Predicting Petroleum Deposits
Chuck Knox, Knox Geological
Targeting the Indicator of Subsurface Natural Hydrogen by Joint Analysis of Aeromagnetic and Gravity Data
Yawei Su, University of Houston
Real-Time Inversion and Uncertainty Quantification of Ultra-deep Resistivity LWD Measurements for Geosteering using Invertible Neural Network
George Bittar, University of Houston
Modernized QC and Trusted Subsurface Data as a Service Using Industry Standards: How Major Operators Are Leveraging a Trusted Data Ecosystem With OSDU for Workflows and Key Business Decisions
Ryan Jarvis, RockNRG
 
Generative 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
 

Register Now

Member* Early $595
Member* Onsite $695
Non-Member Early $695
Non-Member Onsite $795
Student Member* $145
Student Non-Member $195
Approved Conference Speaker $495

* Active AAPG or HGS Member in good standing.


Fee Includes
  • Continental breakfast
  • Coffee breaks
  • Buffet lunch
  • End-of-day reception on Thursday
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
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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, USA
Susan Nash, Ph.D. Director, Innovation and Emerging Science and Technology
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