Conference programme
Day 01 · Thursday, October 29
- Real-Time Measurement as the Foundation for Trustworthy AI – Continuous analyzer data provides the verified physical signals modern machine-learning systems lack. This reduces drift, constrains model overreach and ensures AI operates within true, observed process boundaries rather than assumptions.
- Closing the Loop Between DRL, Predictive Models and Live Plant Conditions – By integrating Modcon.AI with dynamic models, reinforcement-learning frameworks and high-fidelity analyzer streams, refineries unlock adaptive, safer and more responsive process control in environments too complex for static optimization alone.
- Turning Predictions Into Operational Evidence – When AI recommendations are tied directly to measured hydrocarbon composition and quality, operators gain actionable, auditable insights that improve efficiency, enhance product consistency, lower emissions and strengthen the pathway to a digital, flexible, and carbon-neutral refinery.
- Key takeaway to be added.
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Prognostic Health Management and Predictive Maintenance.
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Video Analytics for Safety SOPs Monitoring.
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ESG Intelligence and Compliance.
- AI is moving rapidly from analytical support to operational influence across oil and gas, expanding decision authority and accelerating system response.
- In safety-critical environments, intelligent systems amplify operational exposure — requiring governance, resilience, and capital architecture to scale proportionally.
- Grounded in the principle of alignment before amplification, this session examines how energy leaders can align AI deployment with disciplined risk architecture and executive accountability.
- Leveraging AI and digital innovation to enhance operational performance and decision-making
- Accelerating technology adoption to support energy transition and business transformation
- Building resilient and future-ready energy systems through collaboration and innovation
- Balancing operational efficiency, economic performance, and sustainability objectives
- Driving long-term competitiveness through digital transformation and strategic partnerships
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Challenge: Decarbonize Oil & Gas for Net Zero.
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Solution: DLT Green Bonds & Carbon Trading.
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Process: DLT Capital Markets.
Day 02 · Friday, October 30
- Manufacturing by definition is a carbon intensive and resource hungry process. However, it is possible to build more sustainable products by adopting the principles of circular economy
- As virgin materials get more scarce and thereby expensive, material stewardship and reuse across higher value retention loops like remanufacturing and refurbishment becomes a handy tool to drive up profitability in the upstream supply chain
- Harvesting parts for reuse also helps in decarbonization. When parts are harvested at end of use, upstream scope 3 emissions can be greatly reduced for each participant of the value chain
- Canadian oil exports to the U.S. increase, Permian gas prices stay depressed, gas-electric market coordination improves.
- Reliability forces the system to cope while regional hubs regain importance.
- NGL production continues to grow, dry gas basins regain competitiveness, LNG and power demand improve economics,
- Export demand along with crackers supports market recovery.
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All industries and functions are undergoing digital transformation, and Oil and Gas too is undergoing big changes due to cost drivers, the move towards green energy, and global economic trends.
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Digital Transformation in today's context is using the latest digital technologies to derive 2X to 10X benefits.
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This is in a new and volatile changing era, which involves deep use of insights, citizen-developed digital solutions / No-Code tools.
- Tubestream – Streamlining supply chain and contract management through digital collaboration
- Pipesales – Turning surplus tubulars into valuable, sellable assets
- Cross-Departmental Synergy – How collaboration powers digital adoption and ROI
- Future Outlook – Toward a fully connected supply chain ecosystem through customer integration