TUESDAY NOVEMBER 17TH, 2026
Focus > AI & Machine Learning | Intelligent Chemical Optimization | Data Integration & Validation | Predictive Maintenance | Automation & Closed-Loop Control | Cybersecurity & Digital Trust | Legacy System Integration | Connectivity & Digital Resilience
FROM AUTOMATION TO INTELLIGENT CHEMICAL OPTIMIZATION: DELIVERING LONG-TERM OPERATIONAL & FINANCIAL VALUE
Oilfield conditions are constantly changing, requiring chemical programs to continuously adapt alongside production. This keynote will explore how automation, real-time data, and intelligent chemical optimization can enable operators to dynamically adjust treatment programs, improve dosing accuracy, reduce chemical spend, and maximize production. The session will demonstrate how moving from reactive chemical management toward automated, data-driven optimization can deliver measurable improvements in reliability, asset integrity, and long-term financial performance.
8:00AM REGISTRATION
8:50AM OPENING REMARKS
FROM AUTOMATION TO INTELLIGENT CHEMICAL OPTIMIZATION: DELIVERING LONG-TERM OPERATIONAL & FINANCIAL VALUE
Oilfield conditions are constantly changing, requiring chemical programs to continuously adapt alongside production. This keynote will explore how automation, real-time data, and intelligent chemical optimization can enable operators to dynamically adjust treatment programs, improve dosing accuracy, reduce chemical spend, and maximize production. The session will demonstrate how moving from reactive chemical management toward automated, data-driven optimization can deliver measurable improvements in reliability, asset integrity, and long-term financial performance.
9:00AM – 9:40AM THINKING DIFFERENTLY: LEVERAGING UNIVERSITY COLLABORATION TO ACCELERATE AI INNOVATION
As operators increasingly look to machine learning to improve operational performance and decision-making, collaboration with universities is emerging as a powerful way to accelerate innovation. This operator case study explores how an operator partnered with universities to develop and evaluate multiple machine learning models, compare different approaches and identify the most effective solution for integrating operational data and predicting corrosion risk.
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Building strategic partnerships between operators and universities to accelerate machine learning innovation
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Developing and evaluating multiple machine-learning models to solve real operational challenges
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Integrating operational data to improve predictive maintenance, corrosion modelling and risk prioritization
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Lessons learned from translating academic research into practical field applications and future digital initiatives
PANEL DISCUSSION
9:40AM – 10:30AM DIGITAL TRANSFORMATION IN OILFIELD CHEMICALS: WHAT ARE THE BIGGEST OPPORTUNITIES & CHALLENGES FACING OPERATORS TODAY?
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Creating a single source of truth through enterprise-wide data integration
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Improving predictive optimization and integrity risk management using digital technologies
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Leveraging advanced analytics and visualisation to improve operational decision-making
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Balancing AI adoption, workforce readiness and long-term digital transformation strategies
10.30AM MORNING NETWORKING BREAK
11:00AM – 11:30AM DELIVERING MEASURABLE BUSINESS VALUE THROUGH INTELLIGENT CHEMICAL OPTIMIZATION
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Discover how the latest digital monitoring solutions are enhancing production reliability in oilfield chemical management.
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Learn about innovative technologies that contribute to cost reduction in chemical management operations.
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Explore real-world examples of improved efficiency and performance through advanced digital monitoring tools.
11:30AM – 12:00PM UNLOCKING THE FULL BUSINESS VALUE OF DIGITAL OILFIELD CHEMICALS
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Transitioning from reactive maintenance to predictive maintenance through automation and advanced analytics
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Leveraging AI to improve operational decision-making and maximise asset performance
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Enabling operators to manage larger well inventories through intelligent automation
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Demonstrating measurable business outcomes including improved reliability, lower operating costs and safer operations
12:00PM – 12:30PM FROM MOITORING TO INTELLIGENT CHEMICAL OPTIMIZATION:CREATING CLOSED-LOOP CHEMICAL MANAGEMENT SYSTEMS
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Implementing closed-loop chemical control to optimize dosing accuracy and operational performance.
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Leveraging smart pumps, automated dosing systems and real-time data to improve chemical programme efficiency.
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Optimizing multi-point injection and remote chemical adjustment to maximise production and reduce intervention.
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Transitioning from reactive monitoring to autonomous, data-driven chemical management systems that enhance reliability and reduce operating costs.
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Demonstrating measurable improvements through closed-loop optimization and automated chemical control
12:30PM LUNCHTIME NETWORKING BREAK
PANEL DISCUSSION
1:30PM – 2:20PM HUMAN EXPERTISE VS ARTIFICIAL INTELLIGENCE: WILL AI REPLACE THE PRODUCTION CHEMIST?
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Which activities can AI realistically automate (large data analysis, dosing optimization, risk assessment)?
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Where production chemists remain essential (treatment design, troubleshooting, operational judgement and stakeholder relationships)
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Using AI to allow engineers and chemists to focus on higher-value projects
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Preparing the future workforce for an AI-enabled industry
2:20PM – 2:50PM BUILDING TRUST IN DIGITAL DATA: WHY VALIDATION STILL MATTERS
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Ensuring complete data lineage and traceability across digital chemical programmes
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Building operator confidence through validation against real operational outcomes
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Improving data quality through calibration, verification and continuous validation
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Creating trusted data foundations to enable predictive optimization and autonomous operations
2:50PM AFTERNOON NETWORKING BREAK
3:20PM – 3:50PM BUILDING TRUST IN THE CONNECTED OILFIELD: DATA SECURITY, CONNECTIVITY & OPERATIONAL RESILIENCE
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Enabling secure data sharing and collaboration while protecting operational data and intellectual property
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Strengthening cybersecurity to protect critical operational infrastructure and connected systems
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Building resilient communications and redundant connectivity to maintain operational continuity
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Creating secure, trusted digital infrastructure that supports automation, efficiency, and long-term digital transformation
3:50PM – 4:20PM BRIDGING THE DIGITAL DIVIDE: INTEGRATING LEGACY SYSTEMS WITH MODERN AI PLATFORMS
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Building a unified data architecture that maximises the value of existing operational systems
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Using AI-driven integration rather than wholesale system replacement
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Developing trusted data products that support predictive decision-making
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Implementing practical migration strategies that minimise operational disruption
4:20PM – 4:50PM BUILDING A MORE RESILIENT DIGITAL OILFIELD: OVERCOMING CONNECTIVITY, COMMUNICATIONS & POWER CHALLENGES
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Building resilient communications through gateways, satellite technologies and redundant pathways
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Improving power resilience using advanced battery storage and hybrid energy solutions
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Creating unified data architectures that support reliable real-time decision-making
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Strengthening digital infrastructure to improve operational resilience, reliability and stakeholder trust