Previous conference sessions
From Sandface to Topsides: How Cross-Disciplinary Teams Can Turn Fragmented Production Data into Clear, Practical, and Defensible Digital Investment Priorities for Offshore Assets
- Production losses rarely belong to one discipline. The session begins with a practical way to frame problems jointly across subsurface, wells, subsea, flow assurance, and topsides.
- It shows how operational data and engineering judgment can be brought together to separate measurement gaps, equipment constraints, process issues, and genuine optimization opportunities.
- Rather than producing another long opportunity list, the method ranks actions by production value, technical feasibility, implementation effort, operational risk, and readiness.
- The closing discussion covers ownership after the assessment, keeping disciplines engaged, converting findings into funded work, and tracking whether the expected operational value is delivered.
Enterprise AI Framework: From Rapid Innovation to Secure, Observable, and Scalable Enterprise Capability
- Examine the challenges created by rapid AI innovation, production scaling gaps, and the absence of an enterprise-ready framework for consistent deployment.
- Introduce three foundational pillars: Innovation-to-Readiness, Secure-by-Default, and Observable Systems, providing a foundation for repeatable enterprise AI success.
- Explore how the framework enables faster adoption, stronger security, operational visibility, and scalable AI delivery across the enterprise.
The Technology Trinity (Item 3) Real-time Data, Next-Gen Communication & Blockchain
- Real-time 360 degree execution visibility
- A digital nervous system for containerised and contextualized advanced communication from doers’ to decision makers
- A future technology of a multi-cloud hybrid blockchain enabled EPC project delivery system for precision in management of scope and changes
Beyond Digitalization: Transforming the End-to-End Contract Procurement Lifecycle Through an Integrated Enterprise Platform
- Transforming the end-to-end contract procurement lifecycle through integrated enterprise platforms
- Redesigning procurement processes to improve governance, efficiency, and compliance
- Enhancing collaboration through unified digital workflows and cross-functional integration
- Applying lessons learned and best practices for successful procurement transformation
- Leveraging AI-enabled automation and intelligent decision support to optimize procurement performance and business value
Beyond the Repository: Integrating Engineering Knowledge into a Living System
- Why fragmentation, not scarcity, is the real failure mode of engineering knowledge management
- The architecture of an integrated knowledge spine - connecting standards, deviations, conflicts, lessons, and experience so an insight in one propagates to all
- How an AI reasoning layer across integrated knowledge surfaces patterns, clashes, and needed standard changes no single silo could see
- A maturity path from document repositories? connected system? self-assuring, living knowledge
The Future of Energy Operations: AI, Automation, and the Digital Workforce
- Examples from ONGC and NETRA digital platform
Scaling AI and Digital Platforms Across the Enterprise: From Experimentation to Execution
- Learn how to transform AI and digital proof-of-concepts into enterprise-wide solutions through robust governance, standardized architectures, and execution frameworks.
- Discover how scalable digital platforms, data integration, and modern enterprise architectures accelerate innovation while reducing complexity and cost.
- Understand the critical role of leadership, change management, and cross-functional collaboration in embedding AI and digital capabilities across business units.
- Gain practical approaches for aligning AI and digital investments with strategic business objectives to improve operational efficiency, resilience, and long-term enterprise performance.
Data-driven Virtual Flow Meter
- Introduction physical meters vs virtual flow meter(VFM) for production flow estimation
- Machine learning/deep learning modeling for VFM
- Automated workflow pipeline
Clean Energy for Data Centers - Small Modular Nuclear Reactors (SMR)
- Benefits of SMR’s for Data Centers and AI servers – Our next tier of life Artificial General Intelligence (AIG)
- Achieving Cost Reduction at Scale: Lessons from France's Model for Building These Reactors
- Safety Challenges associated with projected increased density of nuclear reactors within civic locations
Innovative Approaches to Accelerated Facility Commissioning: A Strategy Framework for Speed, Precision, and Digital Excellence
- Overview of the proposed holistic approach to accelerating commissioning
- Emerging technologies: AI, machine learning, and their potential in commissioning
- Application of the framework and results
ENERGY FORECASTING SOLUTION TOWARD AN EFFECTIVE DIGITALIZATION FOR OIL & GAS FACILITIES- HAWIYAH GAS PLANT CASE STUDY
- Until recently, a historical data of facilities and MS Excel-based offline linear regression models were utilized to forecast and monitor the energy demand.
- Energy Demand Forecasting Solution leverages machine learning and comprehensive data analysis to overcome the challenges posed by the dynamic nature of oil & gas processing facilities.
- This project is another example toward utilizing the digital and innovative technologies for converting conceptualized engineering techniques and methodologies into effective solutions.
- Case study: This solution leads to significant reductions in the facility's energy consumption, resulting in cost avoidance and improved environmental performance.
Implementing Digital Twins in the Oil and Gas Industry: Challenges and Opportunities
- Introduction to the concept of Digital Twin: Explanation of what Digital Twins are and how they can be applied in the Oil and Gas industry
- Use cases and benefits: Practical examples of implementing Digital Twins in Oil and Gas operations, highlighting the benefits in terms of efficiency, safety, and cost reduction.
- Challenges and solutions: Discussion of the main challenges faced in implementing Digital Twins and the solutions adopted to overcome them.
Digital ROI Blueprint: Prioritize and Deliver Business Value
- A practical framework with live ROI tools to prioritize digital initiatives and focus on projects that deliver EBITDA and cash flow
- Most digital projects overpromise and underdeliver.
- Introduces a practical ROI Blueprint to evaluate and prioritize initiatives.
- Includes an interactive ROI calculator and online self-assessment for attendees to test their own projects.
- Helps leaders focus on projects that drive EBITDA, cash flow, and real business value.
Navigating the Technology Jungle: Simplifying Oil and Gas supply Chain in Industry 4.0
- Industry 4.0 in Oil and Gas: Examine Industry 4.0's role in enhancing sourcing and procurement in oil and gas, focusing on digital transformation in downstream processes.
- Highlight the challenges faced due to the rapid influx of technology and the ever-evolving supply chain landscape.
- Share real-life examples of companies that have successfully leveraged free tools to optimize their sourcing and procurement operations.
- Inspire the audience to embrace agility, explore free tools, and leverage available resources to optimize sourcing and procurement processes
Shaping Digital Strategy in the Age of GenAI, Unlocking New Pathways for Operators to Innovate, Scale, and Transform Their Organizations
- Digital transformation is no longer optional. Market pressures, workforce changes, and fast-moving technology mean digital agility is now the edge that helps operators stay competitive.
- GenAI is becoming a true growth driver. Companies are moving beyond pilots, growing budgets, and using AI agents to streamline workflows, speed up decisions, and unlock real operational value.
- Winning with digital takes more than tools. It requires leadership support, cross-team alignment, and effective governance to scale experiments into lasting enterprise impact..
Scaling and Integrating Subsurface Workflows to Transform Upstream Operations, Improve Efficiency, and Strengthen Data Governance in Modern Digital Oilfields
- How integrated subsurface data platforms and digital twins enable faster, more reliable decisions across geoscience, drilling, and production teams while reducing data silos and improving workflow automation.
- From Data Quality to Decision Quality
- Why contextualized, governed data and automated quality rules are critical for scaling analytics and AI in upstream environments and ensuring trusted insights across enterprise workflows.
- Building Scalable Digital Oilfields
- Lessons from industry deployments on aligning technology, domain expertise, and organizational change to accelerate digital integration while maintaining cybersecurity, interoperability, and operational resilience.
Digital Twin for Hydrogen Production Control in Alkaline and PEM Electrolyzers within Microgrids
- Development of an intelligent Digital Twin integrating electrical, thermal, and electrochemical models with real-time data and AI to optimize green hydrogen production using Alkaline and PEM electrolyzers within renewable microgrids.
- Implementation of a Machine Learning–based predictive module enabling early anomaly detection and predictive maintenance, improving operational reliability, reducing unexpected failures, and extending electrolyzer lifetime under intermittent renewable energy conditions.
- Simulation of multiple operating scenarios prior to deployment, minimizing technical risks and operational costs while enhancing control stability, renewable integration, system efficiency, and overall performance of smart hydrogen energy management systems.
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