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, 16 SEPTEMBER, 2026
08:00 - 08:50
REGISTRATION AND MORNING REFRESHMENTS
08:50 - 09:00
OPENING ADDRESS
09:00 - 09:25
THE ROADMAP TO AI IN DIGITAL OILFIELDS
Eli Maftoum
Bentley Systems

Eli Maftoum

Bentley Systems

  • Exploring how AI enables predictive maintenance and reduces equipment failures
  • Enhancing asset lifecycle and reducing downtime through intelligent automation
  • Unlocking real-time insights from data analytics to support smarter decisions
  • Building a single-source infrastructure to optimize oilfield asset management
09:25 - 09:30
Q&A SESSION ON APPLYING AI TO OPTIMIZE OILFIELD ASSET OPERATIONS
09:30 - 09:55
FROM THE RIG FLOOR TO REAL-TIME DECISIONS: PRACTICAL DIGITALIZATION IN DRILLING OPERATIONS
Shaun Gayapersad
BW Energy

Shaun Gayapersad

BW Energy

  • Building the business case for drilling digitalization by focusing on safety, non-productive time reduction, and operational visibility
  • Sharing lessons from integrating new technologies into existing operations, including workforce adoption and avoiding complexity without clear value
  • Presenting how real-time data, automation, and connected systems support faster decision-making and better execution across drilling and wellsite operations
09:55 - 10:00
Q&A SESSION ON PRACTICAL DIGITALIZATION STRATEGIES FOR DRILLING AND WELLSITE OPERATIONS
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 THE IMPACT OF AUTOMATION AND DIGITALIZATION ON COSTS AND ADAPTABILITY IN OIL AND GAS
Speaker Image
  • Exploring build vs. buy, Gen AI value in oil and gas, and overcoming digitalization hurdles from planning to execution
  • Examining how automation, AI, and data analytics enable smarter, scalable, and cost-efficient carbon capture operations
  • Leveraging digital tools to cut costs, boost safety, reduce emissions, and drive reliable, problem-driven innovation in oil and gas

| AQ Energy

| Svante Technologies Inc.

| PTAC

11:30 - 11:55
INTEGRATION OF DYNAMIC, REAL-TIME DIGITAL TWINS AND PLANT SELF-DIAGNOSIS FOR OPERATIONAL EXCELLENCE
Desmond Inyamah
NNPC Limited

Desmond Inyamah

NNPC Limited

  • Integrating AI, machine learning, and model-based diagnostics within digital twins to continuously assess asset health, predict performance, and recommend optimal operating strategies
  • Leveraging real-time plant data to evaluate operational processes and operator competencies, ensuring disciplined execution and sustained operational excellence
  • Enabling executive-level visibility through automated escalation systems that flag risks to availability, safety, and financial performance before losses occur
11:55 - 12:00
Q&A SESSION ON REAL-TIME DIGITAL TWINS FOR PRODUCTION ASSET OPTIMIZATION
12:00 - 12:25
DIGITIZING THE PAST TO ENGINEER THE FUTURE
Maurice Tayeh
Hatch

Maurice Tayeh

Hatch

  • Explaining how AI technologies pull asset data directly from paper-based materials to digitize legacy brownfield records
  • Detailing how intelligent 3D models are rebuilt from digitized data to accurately represent existing brownfield assets
  • Demonstrating how VR and AR instantly expose design gaps and conflicts within reconstructed brownfield 3D models
  • Presenting how digital intelligence enables safer and faster project execution across brownfield facility operations
12:25 - 12:30
Q&A SESSION ON AI AND DIGITAL TWINS MODERNIZING BROWNFIELD ASSET MANAGEMENT
12:30 - 13:30
NETWORKING LUNCH AND VISITING THE DIGITAL OILFIELDS EXHIBITION
13:30 - 13:55
FROM SENSOR TO STRATEGY: AI TRANSFORMING OPERATIONS IN CANADA'S ENERGY SECTOR
Scott Irvine
Databricks

Scott Irvine

Databricks

  • Demonstrating how the Databricks platform turns millions of daily OSIsoft PI and AVEVA sensor readings into actionable intelligence
  • Showing how a single platform powers real-time digital twins, detects equipment anomalies, and puts natural-language AI in operators' hands
  • Sharing real Canadian energy deployment results, including a customer processing over one billion sensor readings per day
  • Introducing ready-to-deploy accelerators for predictive maintenance, process optimization, and ESG emissions tracking
13:55 - 14:00
Q&A SESSION ON TURNING OILFIELD SENSOR DATA INTO AI-DRIVEN OPERATIONAL STRATEGY
14:00 - 14:25
DATA, ANALYTICS, AND SUSTAINABILITY – METHANE DETECTION AND GHG EMISSIONS MANAGEMENT
Cindy Crow
AVEVA

Cindy Crow

AVEVA

  • Presenting SM Energy’s enhanced methane detection using monthly drone flyovers and proactive leak detection to reduce emissions
  • Examining how TotalEnergies tracks and optimizes Scope 1 and 2 GHG emissions using an industrial tool measuring energy intensity
  • Outlining how data-driven insights drive operational efficiency, emissions reduction, and financial sustainability across global operations
14:25 - 14:30
Q&A SESSION ON ADVANCED DRONE TECHNOLOGY AND ITS ADVANTAGES FOR METHANE DETECTION
14:30 - 14:55
USING AI TO GENERATE DATA-CENTRIC ASSET INFORMATION
Steve Anderson
Bentley Systems

Steve Anderson

Bentley Systems

  • Highlighting how oil and gas companies can begin their AI journey by focusing on asset data integrity
  • Emphasizing the critical role of structured, high-quality data in building trust in generative AI outcomes
  • Demonstrating how AI tools can unlock and transform legacy brownfield documents into actionable insights
  • Accelerating AI readiness by developing internal expertise and infrastructure for future model training
14:55 - 15:00
Q&A SESSION ON THE BENEFITS OF USING AI TO STRUCTURE DATA FOR ASSET OPTIMIZATION
15:00 - 15:20
AFTERNOON COFFEE BREAK IN THE EXHIBIT AREA
15:20 - 15:45
FROM CONFINED SPACE INSPECTION TO DIGITAL TWINS: LEVERAGING UAVs AND AI FOR NEXT-GEN OIL AND GAS ASSET INTEGRITY
Taylor Wilson
Flyability

Taylor Wilson

Flyability

  • Showing how LiDAR-enabled drones generate 3D digital twins of GPS-denied environments like FCC units and storage tanks, eliminating hazardous human entry
  • Presenting how Elios 3 Autonomy simplifies complex inspection missions, reinforces safety margins, and expands operator confidence in confined space environments
  • Demonstrating how UAV-based remote inspection workflows reduce turnaround times from weeks to days, and save thousands of dollars per mission
15:45 - 15:50
Q&A SESSION ON CUTTING TURNAROUND COSTS AND TIMES WITH UAV CONFINED SPACE INSPECTION
15:50 - 16:15
BUILDING THE BUSINESS CASE TO DRIVE OILFIELD DIGITALIZATION AND AUTOMATION
Mustafa Noor
IWAFEE Intentions Institute Inc.

Mustafa Noor

IWAFEE Intentions Institute Inc.

  • Examining ROI models and capital efficiency strategies that justify oilfield digital transformation investments
  • Exploring how predictive maintenance and automation technologies reduce downtime and improve field performance
  • Covering risk mitigation, compliance, and scalable deployment frameworks for oilfield digitalization programmes
  • Discussing how digital adoption protects oilfield margins and production reliability amid market volatility
16:15 - 16:20
Q&A SESSION ON MAKING DIGITAL TRANSFORMATION PAY FOR OILFIELD OPERATORS
16:20 - 16:45
LEVERAGING DIGITAL TWIN SOLUTIONS FOR ENHANCED WELLSITE MANAGEMENT
Nathan Reese
Precision Drilling

Nathan Reese

Precision Drilling

  • Assessing how Precision Drilling’s Digital Twin enhances condition monitoring and predictive maintenance across diverse rig fleets
  • Unveiling the modular design that seamlessly adapts to various rig types, improving asset reliability, and minimizing downtime
  • Analyzing the role of real-time data, remote operations, and continuous feedback loops in driving efficiency and operational agility
16:45 - 16:50
Q&A SESSION ON THE BENEFITS OF DIGITAL TWIN TECHNOLOGY FOR ENHANCING ASSET PERFORMANCE
16:50 - 17:15
AI-POWERED LEASE ALLOCATION AUTOMATION FOR REAL-TIME OPERATIONS VISIBILITY
Mike Wohlfarth
Opportune LLP

Mike Wohlfarth

Opportune LLP

  • Demonstrating how LLM-powered workflows automate lease allocation processing by reading, validating, and reconciling incoming operator allocation files
  • Explaining how intelligent decision logic detects discrepancies, flags incomplete submissions, and automatically communicates with operators to resolve issues
  • Presenting a case study showing how automation replaced a 3-day manual month-end process with a real-time dashboard that improves operational visibility and workflow efficiency
17:15 - 17:20
Q&A SESSION ON LLM APPLICATIONS FOR OPERATIONS AND COMMERCIAL DATA MANAGEMENT
17:20 - 18:20
NETWORKING DRINKS RECEPTION
DAY 2 :
THURSDAY, 17 SEPTEMBER, 2026
08:00 - 08:30
MORNING REFRESHMENTS
08:30 - 08:40
OPENING ADDRESS
08:40 - 09:05
SECURE AI AGENTS WITH ENTERPRISE IAM SECURITY
Ian Zwirek
Accenture

Ian Zwirek

Accenture

  • Addressing access governance by ensuring AI agents hold no static entitlements or standing privileges that could be exploited
  • Showing how direct agent-to-agent and agent-to-human communications create an expanding attack surface requiring active monitoring
  • Managing lifecycle complexity to maintain a unified view of agent access rights across static and dynamic AI agent libraries
  • Equipping security leaders with a prioritized framework for what matters most when securing AI agents in enterprise environments
09:05 - 09:10
Q&A SESSION ON SECURING AI AGENTS THROUGH ENTERPRISE IDENTITY AND ACCESS MANAGEMENT
09:10 - 09:35
FROM FIELD TO FILE: AI’S REAL-WORLD IMPACTS ON THE DIGITIZATION OF THE ENERGY INDUSTRY
Brenna Barlow
CarbonAI

Brenna Barlow

CarbonAI

  • Explaining how continuously accessible authenticated data reduces the impact of reporting and regulatory deadlines for oil and gas producers
  • Showing how authenticated data supply chains turn fragmented field data into consistent, trusted streams that make decisions actionable
  • Presenting how data storage across multiple systems creates fragmentation, increasing the error and time costs of moving data between platforms
  • Drawing on real deployment across 40 Canadian operators spanning 12,500 devices and millions of tonnes of verified emissions reductions
09:35 - 09:40
Q&A SESSION ON WHY DATA INTEGRITY MATTERS MORE THAN DATA VOLUME IN AI ADOPTION
09:40 - 10:05
PREDICTIVE FITNESS FOR SERVICE ASSESSMENTS USING CONVOLUTIONAL NEURAL NETWORKS
Emmanuel Valencia
Softnostics

Emmanuel Valencia

Softnostics

  • Exploring how CNNs predict the Stress Concentration Factor to determine the fatigue life of gas pipeline dent features
  • Examining the methods used to curate training data and the strengths and weaknesses of a non-physics-based AI approach to FFS assessments
  • Presenting a case study demonstrating practical CNN model implementations to screen and evaluate pipeline dent features in the field
10:05 - 10:10
Q&A SESSION ON CNN MODELS FOR PREDICTING PIPELINE FITNESS FOR SERVICE IN THE FIELD
10:10 - 10:30
MORNING COFFEE BREAK IN THE EXHIBIT AREA
10:30 - 10:55
UNLOCKING MILLIONS WITH AI-DRIVEN INDUSTRIAL OPTIMIZATION IN DIGITAL OILFIELDS
Miras Muratov
ScaleApp

Miras Muratov

ScaleApp

  • Identifying hidden inefficiencies in refrigeration, flaring, energy use, and process design that silently erode production value and environmental performance
  • Demonstrating how AI-powered engineering platforms leverage real-time operational data to enhance SCADA systems and improve wellsite monitoring
  • Showcasing practical case studies where structured AI workflows increased throughput, reduced emissions, and delivered measurable financial gains
  • Enabling a shift from reactive troubleshooting to proactive, AI-assisted optimization across integrated digital oilfield environments
10:55 - 11:00
Q&A SESSION ON ENHANCING DIGITAL OILFIELDS THROUGH REAL-TIME AI INSIGHTS
11:00 - 11:25
LEVERAGING VISUALIZATION FOR MAINTENANCE AND INTEGRITY PROGRAMS
Nick Gordon
MiraCAD

Nick Gordon

MiraCAD

  • Presenting a case study on implementing 3D visualization tools to enhance maintenance and integrity workflows
  • Illustrating how embedding data within a geographical context improves decision-making
  • Reviewing the digitalization roadmap developed for a petrochemical facility to optimize resources and streamline operations
11:25 - 11:30
Q&A SESSION ON THE BENEFITS OF 3D VISUALIZATION AND DIGITALIZATION IN OIL AND GAS MAINTENANCE
11:30 - 11:55
REDUCING COSTS, EXTENDING PRODUCTION LIFE, AND MINIMIZING CLOSURE COSTS OF MATURE ASSETS
David Yager
Government of Alberta

David Yager

Government of Alberta

  • Outlining Alberta's mature asset challenges, including collapsed gas prices, increasing orphaned assets, and tightening liability management frameworks
  • Explaining why AI-driven cost control is critical to extending the productive life of mature assets and managing closure liabilities more effectively
  • Presenting the Mature Asset Strategy framework developed under six stakeholder working groups to address aging infrastructure and stranded gas assets
  • Exploring policy solutions and financial instruments designed to balance mature asset retirement with continued investment in Alberta's energy sector
11:55 - 12:00
Q&A SESSION ON POLICY AND AI SOLUTIONS FOR MANAGING ALBERTA'S MATURE ASSET CHALLENGE
12:00 - 12:25
REAL-TIME PRODUCTION TRIAGE USING AI AND INTEGRATED FIELD SIGNALS
Malena Rodríguez
CGC

Malena Rodríguez

CGC

  • Combining heterogeneous data streams, including well performance, equipment states, and alarms, into a unified real-time decision framework
  • Prioritizing field interventions based on potential production loss rather than responding to isolated alarms in a reactive manner
  • Demonstrating measurable operational outcomes, including reduced downtime achieved through AI-driven triage and integrated field signal analysis
12:25 - 12:30
Q&A SESSION ON REDUCING OILFIELD DOWNTIME THROUGH AI-DRIVEN PRODUCTION TRIAGE
12:30 - 12:45
FEEDBACK AND RAFFLE DRAW
12:45 - 14:00
NETWORKING LUNCH

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