30 YINSON HOLDINGS BERHAD LEADERSHIP MESSAGES We are also pleased to provide an update on Project Polaris, Yinson Production’s flagship digitalisation initiative. Project Polaris is an integrated asset performance management solution, which brings together applications on an existing ecosystem through a customised architecture that allows interaction and flow of data from one application to another, providing a robust and reliable analytical decision-making platform. The project was fully rolled out on FPSO Helang in January 2024, and now, one year later, is yielding promising results. CLOSING REMARKS As we move forward, our commitment to innovation, sustainability, and operational excellence remains unwavering. We will continue to leverage our strengths, embrace new opportunities, and navigate the complexities of our industry with agility and foresight. Our strategic focus on right sizing, establishing strategic investments and enhancing our organisational resilience will position us to adapt to changing market dynamics and sustain long-term growth. Looking ahead, we are excited about the possibilities that lie before us. By fostering a culture of continuous improvement and collaboration, we will drive value for our stakeholders and contribute to a just and equitable energy transition. Our journey is far from over, and we are poised to achieve even greater milestones in the years to come. Goals Achievements since rollout Example use-cases Predictive analytics • Allows FPSO operations to generate insights to optimise asset reliability, maintenance and performance. • Forecasts potential failures through machine learning algorithms. • Data-driven decision-making with prescriptive actions. Predictive analytics issued a persistent anomaly alert in a machinery in observation. This allowed the team to take preventive action on the affected equipment. 140 hours of potential downtime avoided. 1.6% uptime protected. Condition-based monitoring • Allows highly-skilled Subject Matter Experts and Technical Authority personnel to conduct high quality analyses remotely while onshore. • Enables operational strategy planning ahead of time to adapt changes in operating requirements or asset degradation. • Detects early signs of wear, enhancing asset reliability and integrity. Predictive analytics issued an anomaly alert in the operating condition of a critical instrument of a nominated equipment. This led to insights on potential reduction in GHG emissions. Integrated data visualisation capabilities • Enhances existing dashboards to elevate potential for data insights. • Unified view with contextualised data integration. • Improves situational awareness of ongoing FPSO operations. Condition-based monitoring saves hours in manpower and processes, translating to cost savings by removing the need for external engagement, offshore mobilisation, or any logistics and travel coordination since the work can be done remotely with no onsite presence. Estimated 80 manhours saved per analysis. Process reduced to just 1 – 2 days from previously 5 – 8 days. Successful use-cases gathered for predictive analytics and condition-based monitoring. Unlocked cost savings via performance optimisation. Potential to refine OPEX budgeting through enhanced asset lifecycle forecasting. Update on Project Polaris
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