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Sustainable Energy Future

Using data to optimize and operate more efficiently

Noble is continuing to develop and scale the use of data-driven tools to enhance operational efficiency, safety, and decision-making across the fleet, supporting sustainability objectives by working to improve energy efficiency and reduce environmental impact.

Marine operators, Dynamic Positioning (DP) personnel, marine engineers, instructors, and subject matter experts use the company’s high-fidelity Marine and Engine Room simulator, both of which are integrated with the Kongsberg Information Management System (KIMS), to analyze vessel behavior, operator interaction, and system performance under controlled, repeatable conditions. DP is the safe station keeping of a vessel using automated control of thrusters and propulsion to maintain position and heading. Insights from these exercises are incorporated into training and operational reviews to support more efficient offshore practices, consistent with the company’s emphasis on digital operational improvement.

Simulator-based analysis supports safer, more efficient operations through evidence-based training and operational reviews.

Within this environment, Noble is exploring how simulator and KIMS data help evaluate application of the Well Specific Operating Guidelines (WSOG), vessel response, fuel consumption, and system loading. Long-duration scenarios will enable consistent comparisons across operating modes and configurations, offering a low-risk method to understand how procedures and technologies may perform before offshore deployment.

Operators may also train with deployed Electronic WSOG and Riser Management System (RMS), together with KIMS, as real-time decision-support tools, while analysts observe behaviors that may influence efficiency and safety – aligning with Noble’s practice of using digital insights to drive operational discipline.

“Simulation data gives our teams the clarity to explore new ideas, strengthen decisions, and uncover safer, more efficient ways of working that elevate our operations.”

This controlled, data-rich approach is designed to produce more accurate estimates of fuel efficiency, support evidence-based validation of procedures and technologies, and improve decision quality supported by measurable operator data. By identifying practices that can lower fuel use for a given task profile and promoting operating modes that may reduce unnecessary engine loading, these insights are being developed to support Noble’s efforts to use energy more efficiently and reduce operational impacts on the environment. 

Noble 2025 Sustainability Report

For a deeper dive, explore the full PDF report with more extensive insights and details.

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How Noble uses predictive AI to strengthen safety