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 2026

DAY 1 :
WEDNESDAY, JULY 22, 2026
08:00 - 08:50
REGISTRATION AND MORNING REFRESHMENTS
08:50 - 09:00
OPENING ADDRESS
09:00 - 09:25
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
09:25 - 09:30
Q&A SESSION ON PREDICTIVE ANALYTICS FOR SMART RESERVOIR MANAGEMENT
09:30 - 10:00
RESERVED PRESENTATION
10:00 - 10:30
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!
10:30 - 11:00
MORNING COFFEE BREAK IN THE EXHIBIT AREA
11:00 - 11:30
PANEL DISCUSSION ON RESERVOIR SIMULATION
11:30 - 12:00
RESERVED PRESENTATION
12:00 - 12:25
AI LEAKAGE DETECTION AND TARGETED REMEDIATION FOR SUBSURFACE BARRIER INTEGRITY
Ishtiaque Anwar
Los Alamos National Laboratory

Ishtiaque Anwar

Los Alamos National Laboratory

  • Investigating how permeability, heterogeneity, and fluid chemistry drive subsurface leakage behavior across varying reservoir conditions
  • Using fiber-optic sensing and agentic AI to detect early leakage signals and classify failure modes in real time
  • Evaluating targeted sealant remediation to seal microfractures and microannuli in subsurface barriers
  • Building a validated framework that links AI leakage detection to targeted remediation action across subsurface systems
12:25 - 12:30
Q&A SESSION ON AI DETECTION AND TARGETED SEALING OF SUBSURFACE LEAKAGE PATHWAYS
12:00 - 13:30
NETWORKING LUNCH AND VISITING THE RESERVOIR SIMULATION EXHIBITION
13:30 - 14:00
PANEL DISCUSSION ON RESERVOIR SIMULATION
14:00 - 14:25
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
14:25 - 14:30
Q&A SESSION ON AI/ML SOLUTIONS FOR OPTIMIZING FRAC DESIGN AND FIELD DEVELOPMENT
14:30 - 14:55
ENERGY-EFFICIENT COMPRESSION FOR LOW-CARBON RESERVOIR PROJECTS: WHY IGCs MATTER MORE THAN EVER
Mayur Patel
Hanwha Power

Mayur Patel

Hanwha Power

  • Exploring how compression efficiency influences lifecycle emissions, power consumption, and economic viability in a decarbonized reservoir
  • 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 - 15:20
AFTERNOON COFFEE BREAK IN THE EXHIBIT AREA
15:20 - 15:50
PANEL DISCUSSION ON RESERVOIR SIMULATION
15:50 - 16:15
SCOPING ENGINEERING AND ECONOMIC STUDY OF A GEOTHERMAL PROJECT IN THE HAYNESVILLE FORMATION
Luis Gracian
tNavigator

Luis Gracian

tNavigator

  • Reviewing global and regional energy demand trends and the increasing role of geothermal energy in the low-carbon energy transition
  • Outlining the project scope and methodology, including reservoir modeling, thermal circulation scenarios, and key technical and economic evaluation results
  • Assessing opportunities to repurpose existing unconventional gas infrastructure to enable sustainable geothermal electricity generation
16:15 - 16:20
Q&A SESSION ON EFFECTIVE WAYS OF REPURPOSING OIL AND GAS ASSETS FOR GEOTHERMAL POWER
16:20 - 16:45
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
16:45 - 16:50
Q&A SESSION ON ADVANCED AI TOOLS FOR DCA AND REDUCING PLANNING UNCERTAINTY
16:50 - 17:15
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
  • Deriving lessons from capital-intensive projects by integrating AI with subsurface workflows
17:15 - 17:20
Q&A SESSION ON ADVANCING RESERVOIR MODELING THROUGH HUMAN-AI SYNERGY
17:20 - 18:20
NETWORKING DRINKS RECEPTION
DAY 2 :
THURSDAY, JULY 23, 2026
08:00 - 08:30
MORNING REFRESHMENTS
08:30 - 08:40
OPENING ADDRESS
08:40 - 09:10
PANEL DISCUSSION ON RESERVOIR SIMULATION
09:10 - 09:40
RESERVED PRESENTATION
09:40 - 10:05
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
  • Charting leakage risks across failure scenarios to understand spatial and temporal variability
10:05 - 10:10
Q&A SESSION ON ADVANCED COUPLED MODELS FOR WELL LEAKAGE ANALYSIS
10:10 - 10:30
MORNING COFFEE BREAK IN THE EXHIBIT AREA
10:30 - 10:55
PRACTICAL AND SCALABLE SOLUTIONS FOR REDUCING INDUSTRIAL EMISSIONS IN ENERGY TRANSITION
Felipe Burman
GLR Tech

Felipe Burman

GLR Tech

  • Delivering immediate and cost-effective emission reduction solutions that integrate with existing industrial systems without operational disruption
  • Demonstrating multi-pollutant reduction capabilities alongside improved energy efficiency through heat recovery and circular resource utilization
  • Accelerating the production and adoption of alternative fuels by providing scalable and affordable pathways for carbon capture and reuse
  • Supporting industrial decarbonization strategies by balancing regulatory compliance, operational reliability, and long-term energy transition goals
10:55 - 11:00
Q&A SESSION ON HOW TO REDUCE INDUSTRIAL EMISSIONS WITHOUT IMPACTING OPERATIONAL PERFORMANCE
11:00 - 11:25
BEYOND TRADITIONAL SIMULATION: AI+PHYSICS+ENGINEERING FOR COMPLEX 3D RESERVOIR MODELING AND FULL-SYSTEM OPTIMIZATION
David Castiñeira Areas
OriGen AI

David Castiñeira Areas

OriGen AI

  • Investigating how physics-informed neural networks integrate AI with traditional reservoir simulation to model complex reservoirs while maintaining physical consistency
  • Revealing how AI-driven reservoir modeling enables faster forecasting, improved production planning, and stronger data-driven decision-making
  • Detailing how integrated AI workflows support full-system optimization and real-time operational decision support across reservoir and production systems
11:25 - 11:30
Q&A SESSION ON ADVANCED AI AND PHYSICS-INFORMED MODELS FOR RESERVOIR OPTIMIZATION
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
  • Scrutinizing 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
  • Drawing on a case study of 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 AND RAFFLE DRAW
12:15 - 12:30
CLOSING REMARKS
12:30 - 13:30
NETWORKING LUNCH

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