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, 3 JUNE, 2026
08:00 - 09:00
REGISTRATION AND MORNING REFRESHMENTS
09:00 - 09:10
OPENING ADDRESS
09:10 - 09:35
FROM VISION TO IMPACT: A SUCCESS JOURNEY IN DIGITAL ENERGY TRANSFORMATION
Mohamed Abdallah
EGPC

Mohamed Abdallah

EGPC

  • Integrating siloed operational and energy datasets into a centralised platform to unify insights and streamline decision-making
  • Replacing manual spreadsheets with real-time dashboards, predictive analytics, and AI tools that drive smarter energy choices
  • Enabling faster, data-informed decision-making by embedding AI across reporting, forecasting, and operational workflows
  • Applying machine learning for carbon tracking, emissions forecasting, and the improvement of energy efficiency and sustainability outcomes
09:35 - 09:40
Q&A SESSION ON THE BENEFITS OF USING AI TO MODERNISE ENERGY AND EMISSIONS REPORTING
09:40 - 10:05
FROM DATA TO DECISIONS – APPLYING AI TO OPTIMISE WELL COMPLETIONS AND FIELD OPERATIONS
Hassannah Salami
Antan Producing Limited

Hassannah Salami

Antan Producing Limited

  • Utilising AI-driven analytics to optimise completion design, improve execution efficiency, and support well integrity goals
  • Showcasing AI use cases that enable production optimisation, failure prediction, and more accurate intervention planning
  • Sharing field-level insights on successfully embedding AI into existing engineering and operational decision-making workflows
10:05 - 10:10
Q&A SESSION ON OPTIMISING COMPLETIONS AND FIELD PLANNING WITH AI INTEGRATION
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 OIL & GAS AI
11:30 - 11:55
FROM IDLE INVENTORY TO OPERATIONAL VALUE: APPLYING AI TO DRILLING SUPPLY CHAINS
Matvey Berdnikov
WELLENGI FZCO

Matvey Berdnikov

WELLENGI FZCO

  • Revealing the financial and operational impact of slow-moving inventory across warehouses in drilling and well operations
  • Explaining why manual inventory classification fails at scale and how AI addresses complexity with speed and precision
Alexander Anokhin
WELLENGI FZCO

Alexander Anokhin

WELLENGI FZCO

  • Demonstrating how AI unlocks trapped capital by enabling faster decisions, lower procurement needs, and better lead time planning
  • Highlighting how inventory intelligence supports reuse, reduces waste, and improves sustainability without compromising safety
11:55 - 12:00
Q&A SESSION ON AI-DRIVEN STRATEGIES TO OPTIMISE DRILLING MATERIALS MANAGEMENT
12:00 - 12:25
AI-ENABLED RESILIENCE IN THE OIL AND GAS SECTOR
Maarten Smulders
Control Risks

Maarten Smulders

Control Risks

  • Exploring how AI adoption supports asset reliability, operational continuity, and production optimisation across the oil and gas sector
  • Identifying new cyber, operational, and organisational risks introduced by digital systems and real-time decision automation
  • Demonstrating the role of digital twins, analytics, and predictive security models in strengthening crisis response and foresight
  • Emphasising the need for governance, transparency, and human oversight to ensure safe and sustainable AI implementation
12:25 - 12:30
Q&A SESSION ON STRENGTHENING FIELD OPERATIONS WITH AI AND REAL-TIME MONITORING
12:30 - 13:30
NETWORKING LUNCH AND VISITING THE OIL & GAS AI EXHIBITION
13:30 - 13:55
FROM OPERATIONAL CHAOS TO AGENTIC AI: TRANSFORMING DAILY WORKFLOWS WITH INTELLIGENT SYSTEMS
Hussein El-Ajouz
MCG Masters

Hussein El-Ajouz

MCG Masters

  • Exploring how workflow overload, system fragmentation, and constant interruptions undermine operational performance across functions
  • Exploring how AI delivers value through task automation, smart reporting, and real-time operational visibility at scale
  • Demonstrating use cases where intelligent assistants and integrated systems improve decision speed, accuracy, and team alignment
13:55 - 14:00
Q&A SESSION ON TRANSFORMING FIELD AND BACK-OFFICE EFFICIENCY THROUGH AI-POWERED WORKFLOWS
14:00 - 14:25
AI AS A RECOVERY ENGINE: LEVERAGING HISTORICAL DATA TO REVALUE VENEZUELA’S HEAVY OIL
Arturo Gil Pinto
Deputy Ministry of AI for Hydrocarbons

Arturo Gil Pinto

Deputy Ministry of AI for Hydrocarbons

  • Addressing regulatory alignment for AI adoption in the national hydrocarbon sector, ensuring compliance and digital standardisation
  • Demonstrating how unified data standards improve AI model accuracy, support decision-making, and enhance oilfield performance
  • Highlighting the potential of AI to enable low-cost, high-impact recovery strategies in underutilised or orphaned oil assets
14:25 - 14:30
Q&A SESSION ON MODERNISING DATA TO ENABLE AI IN HEAVY OIL OPERATIONS
14:30 - 15:00
RESERVED PRESENTATION
15:00 - 15:30
AFTERNOON COFFEE BREAK IN THE EXHIBIT AREA
15:30 - 15:55
AI FOR DIGITAL WAREHOUSING AND LOW-CARBON SPARE PARTS
Hector Casas
Arthur D. Little

Hector Casas

Arthur D. Little

  • Leveraging AI forecasting and optimisation for reducing inventory levels and preventing spare part obsolescence
  • Facilitating on-demand production by using 3D printing and digital warehousing to minimise waste and transport costs
  • Supporting operational efficiency and net-zero targets by embedding AI across supply and logistics systems
15:55 - 16:00
Q&A SESSION ON DECARBONISATION THROUGH DIGITAL INVENTORY SOLUTIONS
16:00 - 16:25
DIGITAL TWINS AS SECURITY SANDBOXES TO SUPPORT PATCHING AND SECURITY RESPONSE IN OIL AND GAS
Matthew Incera
Eversource Energy

Matthew Incera

Eversource Energy

  • Scoping and building a digital twin environment that realistically mirrors OT systems for secure testing and validation
  • Detecting and sending the appropriate telemetry from OT networks to digital twins to support real-time monitoring and simulations
  • Designing chatbot frameworks supported by digital twins to improve incident response and threat investigation workflows
16:25 - 16:30
Q&A SESSION ON USING TELEMETRY AND AI TO ENHANCE OIL AND GAS CYBER RESPONSE SCENARIOS
16:30 - 16:55
AI FOR COMPLEX CARBONATE PLAYS: HOW SOM AND DEEP LEARNING TURN SEISMIC ATTRIBUTES INTO PROSPECTIVITY
Ricardo Gómez
Hydrocarbon Ministry of Venezuela

Ricardo Gómez

Hydrocarbon Ministry of Venezuela

  • Demonstrating an offshore carbonate gas case study using multi-attribute seismic, SOM, and deep learning to assess drilled and undrilled prospects
  • Describing a QC-driven workflow from attribute selection and normalisation to SOM clustering validated by quantisation and topographic error
  • Integrating deep learning with SOM outputs and geologic analogs to generate interpretable 3D prospectivity maps for prospect ranking
  • Translating technical results into business value by reducing trap risk, clarifying reservoir uncertainty, and improving drilling decisions
16:55 - 17:00
Q&A SESSION ON BENIFITS OF USING AI TO DE-RISK CARBONATE EXPLORATION DECISIONS
17:00 - 17:25
AI-POWERED DRILLING RIGS AS A CASE STUDY IN SAFETY AND OPERATIONAL EFFICIENCY
Yuanlin Jiang
JJC TEC

Yuanlin Jiang

JJC TEC

  • Examining how AI, machine learning, and real-time analytics enhance drilling safety, efficiency, and performance across onshore and offshore environments
  • Addressing offshore challenges, including high costs, harsh operating conditions, energy intensity, and limitations of conventional automation systems
  • Showcasing safety-first innovations, such as non-people drill floors and automated pipe handling systems that reduce exposure and operational risk
  • Demonstrating how AI-controlled robotics and 3D real-time optimisation systems improve drilling performance, lower costs, and enable smarter operational decisions
17:25 - 17:30
Q&A SESSION ON AI-DRIVEN AUTOMATION FOR SAFER AND SMARTER DRILLING OPERATIONS
17:30 - 18:30
NETWORKING DRINKS RECEPTION
Day 2 :
THURSDAY, 4 JUNE, 2026
08:30 - 09:00
MORNING REFRESHMENTS
09:00 - 09:10
OPENING ADDRESS
09:10 - 09:35
LEVERAGING AI TO DECARBONISE THE ENERGY SECTOR AND BUILD RESILIENCE FOR EXTREME HEAT
Amr Seleem
United Nations

Amr Seleem

United Nations

  • Utilising AI-driven predictive modeling to optimise industrial cooling loads, protect workers, and reduce thermal inefficiencies across sites
  • Mapping how AI-enabled thermal control aligns with decarbonisation targets by lowering methane and CO2 intensity in operations and processing
  • Exploring machine learning's role in large-scale heat rejection and Cooling-as-a-Service to turn thermal waste into a decarbonisation asset
09:35 - 09:40
Q&A SESSION ON HOW AI SUPPORTS DECARBONISATION THROUGH THERMAL EFFICIENCY
09:40 - 10:05
FINANCING AI ADOPTION IN FRONTIER OIL & GAS: DRIVING EFFICIENCY AND LOCAL CONTENT
Angelique Peake
RMB

Angelique Peake

RMB

  • Outlining how AI tools such as predictive analytics and digital twins can reduce risks and improve capital efficiency in frontier projects
  • Examining how financial structures can support AI deployment to accelerate timelines while managing logistical and infrastructure constraints
  • Assessing how AI-driven efficiency gains can be translated into local skills development and stronger domestic supplier ecosystems
  • Illustrating how aligning finance, innovation, and local content priorities improve bankability and long-term project sustainability
10:05 - 10:10
Q&A SESSION ON AI INVESTMENT STRATEGIES FOR FRONTIER ENERGY DEVELOPMENTS
10:10 - 10:40
RESERVED PRESENTATION
10:40 - 11:00
MORNING COFFEE BREAK IN THE EXHIBIT AREA
11:00 - 11:30
RESERVED PRESENTATION
11:30 - 11:55
BUILDING THE BUSINESS CASE FOR AI-DRIVEN SUSTAINABILITY IN OIL & GAS
Nisreen Shadad
NetGreen

Nisreen Shadad

NetGreen

  • Demonstrating how AI-powered sustainability tools improve ROI, reduce risk, and enhance regulatory compliance in oil and gas operations
  • Explaining how AI-driven monitoring improves emissions tracking, carbon accountability, and ESG-driven decision-making
  • Outlining strategic priorities for energy leaders investing in digital platforms that align with sustainability and performance targets
11:55 - 12:00
Q&A SESSION ON EFFECTIVE CARBON MONITORING AND SUSTAINABILITY ROI USING AI
12:00 - 12:25
FROM MODELS TO MARGINS: OPERATIONALISING AI AT SCALE IN UPSTREAM OIL & GAS
Ravi Subramanyan
SymphonyAI

Ravi Subramanyan

SymphonyAI

  • Explaining how predictive analytics, streaming data, and contextual asset models move AI beyond dashboards into daily drilling, production, and reliability decisions
  • Demonstrating practical digital twin architectures that combine physics-based models, machine learning, and live sensor data for forecasting and what-if analysis
  • Showing how digital twins are embedded into workflows to support proactive intervention rather than remaining unused technical experiments
  • Sharing lessons learned from scaling AI from pilots to production, including data foundations, MLOps, governance, and operator adoption
12:25 - 12:30
Q&A SESSION ON AI-POWERED ASSET MODELS TO OPTIMISE UPSTREAM PERFORMANCE
12:30 - 13:30
NETWORKING LUNCH AND VISITING THE OIL & GAS AI EXHIBITION
13:30 - 13:55
AI-DRIVEN SHORT-TERM FORECASTING FOR BIOMETHANE PRODUCTION AND NETWORK OPERATIONS
Giacomo Matarazzo
Teréga

Giacomo Matarazzo

Teréga

  • Explaining the rapid growth of biomethane within gas networks and the operational challenges created by volatile production and quality variability
  • Describing why deterministic models fall short and how AI can better capture the complex interactions of feedstock, environment, and operations
  • Demonstrating how sensor, environmental, and injection data are combined to build continuously improving AI models and digital twins
  • Highlighting how predictive forecasting helps prevent off-spec gas, reduce production losses, and lower overall network operating costs
13:55 - 14:00
Q&A SESSION ON BENIFITS OF USING AI AND DIGITAL TWINS TO OPTIMISE BIOMETHANE NETWORK PERFORMANCE
14:00 - 14:25
OPTIMISING OILFIELD LOGISTICS THROUGH AI-POWERED PAYLOAD MANAGEMENT
Rahul Reghunath
Peace Land Trading & Contracting Co. LLC

Rahul Reghunath

Peace Land Trading & Contracting Co. LLC

  • Monitoring real-time truck and trailer utilisation using AI-powered cameras at loading bases to identify available payload capacity
  • Consolidating equipment loads to maximise payload per trip and reduce total truck movements and inefficient partial loads
  • Reducing transportation costs by lowering trip frequency, fuel usage, and logistics-related operational overhead
  • Strengthening sustainability and road safety by cutting carbon emissions and minimising exposure through fewer transport trips
14:25 - 14:30
Q&A SESSION ON COST-EFFECTIVE STRATEGIES TO OPTIMISE OILFIELD LOGISTICS PERFORMANCE
14:30 - 14:55
AI-POWERED ENERGY OPTIMISATION IN REFINERIES
Mohamed Abdel Hamid El Yamani
EPROM

Mohamed Abdel Hamid El Yamani

EPROM

  • Deploying AI to continuously reduce fuel, steam, power, and cooling use while maintaining product specifications and operating constraints
  • Integrating APC, DCS, historian, lab, and maintenance data to detect real-time energy waste signatures across refinery units
  • Delivering measurable KPIs including fired-heater efficiency, steam balance, compressor power, and exchanger fouling losses
  • Enhancing operational stability by enabling data-driven decisions that lower utility costs and improve overall energy performance
14:55 - 15:00
Q&A SESSION ON AI FOR REFINERY ENERGY PERFORMANCE OPTIMISATION
15:00 - 15:15
FEEDBACK AND RAFFLE DRAW
15:15 - 15:30
CLOSING REMARKS

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