Highlights of the Program

2 days business program:

Learn from real-world case studies by industry leaders.

SHOWCASING INNOVATION:

Discover the latest technology and techniques from across the industry.

leaders talk:

Hear from top-level experts about how to stay ahead in a fast-changing industry.

MULTIPLE STREAMS:

A business program that is multi-disciplinary, giving you a broad view of the industry.

SMART TECHNOLOGIES:

Explore the latest smart and AI-driven solutions, and see how they can be used in your business.

roundtable discussion:

Join talks with industry peers. Share ideas, make connections, and find new partners.

Program

Day 1 :
WEDNESDAY, JULY 22, 2026
08:30 - 09:30
REGISTRATION AND MORNING REFRESHMENTS
09:30 - 09:40
OPENING ADDRESS
09:40 - 10:05
AGENTIC AI IN ACTION: CONTEXT-DRIVEN ANALYTICS FOR REAL-TIME RESERVOIR OPTIMIZATION
Julian Moreno
Microsoft

Julian Moreno

Microsoft

  • Enabling autonomous decision-making by integrating real-time data with agentic AI workflows
  • Presenting actionable insights with intuitive AI interfaces to guide proactive interventions
  • Enhancing predictive capabilities and team collaboration through adaptive field analytics
  • Showcasing large-scale case studies that improved reservoir performance and efficiency
10:05 - 10:10
Q&A SESSION ON PREDICTIVE ANALYTICS FOR SMART RESERVOIR MANAGEMENT
10:10 - 10:40
SPEED NETWORKING SESSION
  • Exchange business cards and get connected in short one-to-one meetings
  • Start the conversation to arrange a more formal meeting later on in the conference
  • Share your professional background and discuss your biggest business issues – don't forget your business cards!
10:40 - 11:00
MORNING COFFEE BREAK IN THE EXHIBIT AREA
11:00 - 11:30
PANEL DISCUSSION ON RESERVOIR SIMULATION
11:30 - 11:55
GEOTHERMAL HEAT MANAGEMENT MODELING
Chuck L Wright
NOV

Chuck L Wright

NOV

  • Exploring heat modeling techniques for managing real-time drilling in hot formations
  • Integrating control system feedback for proactive wellbore temperature regulation
  • Understanding subsurface heat as a thermal reserve and its economic role in geothermal energy
11:55 - 12:00
Q&A SESSION ON THERMAL MODELING STRATEGIES FOR GEOTHERMAL DRILLING
12:00 - 13:30
NETWORKING LUNCH AND VISITING THE RESERVOIR SIMULATION EXHIBITION
13:30 - 13:55
RAPID HYDRAULIC FRAC OPTIMIZATION USING A DATA-DRIVEN UNCONVENTIONAL RESERVOIR SIMULATOR POWERED BY AI/ML
Sunil Garg
dataVediK

Sunil Garg

dataVediK

  • Integrating deep-learning–based forecasting with reservoir simulation to predict well and field-level production across scenarios
  • Optimizing frac and completion design using AI-powered multi-objective modeling for improved efficiency and field development strategy
  • Accelerating scenario generation, interpretation, and reporting using GenAI and agentic workflows for faster decision-making
  • Ingesting real-time frac job data to refine stage-level optimization and continuously improve operational performance
13:55 - 14:00
Q&A SESSION ON AI/ML SOLUTIONS FOR OPTIMIZING FRAC DESIGN AND FIELD DEVELOPMENT
14:00 - 14:25
GEOTHERMAL ASSET OPTIMIZATION THROUGH ADVANCED SUBSURFACE TO SURFACE SIMULATION
Kathleen Gould
Seequent

Kathleen Gould

Seequent

  • Grasping the evolving role of flow simulation in geothermal project development
  • Evaluating coupled models to optimize reservoirs, wellbores, and surface systems
  • Examining how tracer modeling and uncertainty analysis inform key project choices
  • Augmenting performance forecasting with scalable cloud-enabled simulation tools
14:25 - 14:30
Q&A SESSION ON INTEGRATED SIMULATION STRATEGIES TO ENHANCE GEOTHERMAL EFFICIENCY
14:30 - 14:55
ENERGY-EFFICIENT COMPRESSION FOR LOW-CARBON RESERVOIR PROJECTS: WHY IGCs MATTER MORE THAN EVER
Mayur Patel
Hanwha Power Systems

Mayur Patel

Hanwha Power Systems

  • Exploring how compression efficiency influences lifecycle emissions, power consumption, and economic viability in decarbonized reservoir projects
  • Highlighting aerodynamic and thermodynamic advantages of integrally geared compressors (IGCs) over conventional compression systems
  • Examining the role of IGCs in reducing energy intensity for CO2 compression in CCUS injection applications
14:55 - 15:00
Q&A SESSION ON ADVANCED TECHNOLOGY IN CO₂ COMPRESSION FOR CCUS INJECTION
15:00 - 15:30
AFTERNOON COFFEE BREAK IN THE EXHIBIT AREA
15:30 - 15:55
MATLAB-INTEGRATED 3D WELL-PATH DESIGN AND DECLINE CURVE FORECASTING
Darlington Etaje
PhiDrillSim

Darlington Etaje

PhiDrillSim

  • Unifying 3D trajectory design and production forecasting to reduce manual handoffs, delays, and inconsistent planning assumptions
  • Generating constraint-aware well paths and forecasts using a fully integrated MATLAB-based simulation and diagnostic environment
  • Applying robust nonlinear regression to fit decline models with confidence while reducing uncertainty and improving forecast stability
  • Streamlining scenario analysis to support faster, more reliable field development decisions under complex operational constraints
15:55 - 16:00
Q&A SESSION ON ADVANCED AI TOOLS FOR DCA AND REDUCING PLANNING UNCERTAINTY
16:00 - 16:25
TRANSFORM RAW NAV-MERGE SEISMIC DATA DIRECTLY TO SUBSURFACE PROPERTIES USING BILLION-PARAMETER MULTI-MODAL INFORMATION UNSCRAMBLER NETWORK
Anshumali Shrivastava
ThirdAI

Anshumali Shrivastava

ThirdAI

  • Introducing an AI-native approach that bypasses traditional convolution-based seismic inversion
  • Applying auxiliary self-supervised learning to handle local-to-global inversion scalability
  • Using the MMI-Unscrambler to integrate multi-modal data for enhanced geological accuracy
  • Featuring large-scale deployment on raw Gulf of Mexico data with promising inversion results
16:25 - 16:30
Q&A SESSION ON DEEP LEARNING STRATEGIES FOR RAW SEISMIC MODELING
16:30 - 16:55
FROM MODELS TO MEANING: AI, KNOWLEDGE ATTRIBUTION, AND THE NEXT ERA OF RESERVOIR SIMULATION
Trey Fleming
iSPAI

Trey Fleming

iSPAI

  • Analyzing how AI reshapes the engineer–automation relationship through knowledge attribution
  • Depicting how decentralized AI reduces simulation bias while preserving geotechnical judgment
  • Sharing lessons from capital-intensive projects on integrating AI with subsurface workflows
16:55 - 17:00
Q&A SESSION ON ADVANCING RESERVOIR MODELING THROUGH HUMAN-AI SYNERGY
17:00 - 18:00
NETWORKING DRINKS RECEPTION
Day 2 :
THURSDAY, JULY 23, 2026
09:00 - 09:30
MORNING REFRESHMENTS
09:30 - 09:40
OPENING ADDRESS
09:40 - 10:10
RESERVED PRESENTATION
10:10 - 10:35
QUANTIFYING CO₂ AND BRINE LEAKAGE THROUGH IMPROPERLY PLUGGED AND ABANDONED WELLS
Sahar Bakhshian
Rice University

Sahar Bakhshian

Rice University

  • Simulating complex CO₂-water-brine flow using a physics-based reservoir-wellbore model
  • Studying how leakage behavior varies with well location, reservoir traits, and barrier integrity
  • Mapping leakage risks across failure scenarios to understand spatial and temporal variability
10:35 - 10:40
Q&A SESSION ON ADVANCED COUPLED MODELS FOR WELL LEAKAGE ANALYSIS
10:40 - 11:00
MORNING COFFEE BREAK IN THE EXHIBIT AREA
11:00 - 11:30
RESERVED PRESENTATION
11:30 - 11:55
THE ELEPHANT IN THE ROOM: HOW AI WILL ACTUALLY IMPACT THE WORKFORCE IN THE ENERGY SECTOR THROUGH A HUMAN-CENTRIC VISION OF THE FUTURE
Luis Williams
FlowOpsLab

Luis Williams

FlowOpsLab

  • Introducing a new lifecycle of innovation where AI maintains and optimizes existing systems, enabling human experts to focus on higher-value strategic problem solving
  • Examining the “context guardrail” concept, highlighting why subsurface intuition, judgment, and diverse perspectives remain critical in preventing AI-driven bias
  • Redefining workforce roles through the rise of the “Centaur Professional,” where human expertise and AI capabilities combine to enhance performance rather than replace talent
  • Presenting a case study on multi-agent AI systems that bridge technical simulation outputs and executive decision-making, reducing friction across organizational layers
11:55 - 12:00
Q&A SESSION ON THE ROLE OF HUMAN AND AI COLLABORATION IN ENERGY OPERATIONS
12:00 - 12:15
FEEDBACK & RAFFLE DRAW
12:15 - 13:30
NETWORKING LUNCH

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