Energy & Resources Logistics

How AI is revolutionizing operations and offshore logistics in the oil and gas industry


With its ability to learn and deliver real-time analytics, AI's impact on offshore logistics in the oil and gas industry is immense.

Companies operating in this space are leveraging AI to optimize supply chains and minimize downtime by ensuring resources are allocated productively. The data-driven insights and automation capabilities AI provides enable stakeholders with the information and tools they need to enhance decision-making, improve safety, increase efficiency, and reduce emissions.

AI´s transformative power on offshore logistics can´t be overstated, including:

  • Automated supply chain management:

AI allows offshore oil and gas companies and logistics providers to automate mission-critical supply chain activities and processes, like procurement, on-shore and off-shore inventory management, and demand planning/forecasting. Real-time monitoring of crew, materials, equipment, and vessels across offshore logistics networks increases supply chain visibility and control, improving decision-making when addressing operational changes or resolving disruptions.

  • Predictive maintenance for offshore assets:

Predictive maintenance optimizes asset productivity. By applying machine learning algorithms to asset utilization and historical maintenance data, AI can predict the risk of failure and optimal servicing requirements. Feeding this data directly into an asset management system allows enterprises to benefit from advanced maintenance planning and scheduling, minimizing Non-Productive Time (NPT) and operational bottlenecks.

  • Optimized route planning for logistics vessels:

AI helps determine the most efficient and cost-effective logistical routes by considering factors like weather conditions, sea currents, vessel performance metrics, time constraints, historical route data, and other criteria. Continuous learning and adaptation based on historical and real-time data allow AI to improve route planning capabilities over time with the added benefit of reducing fuel consumption and emissions costs. AI can also improve safety by identifying potential hazards and suggesting alternative routes. Standard simulation models using IBM CPELX and AI help operators make real-time route deviations with minimal user intervention and can become self-sustaining over time.

  • Secure and efficient autonomous vehicles:

From unmanned vessels to automated drones, autonomous vehicles are gaining prominence in offshore logistics. AI plays a vital role in improving the safety and efficiency of transporting crew and materials between onshore and offshore base and field locations. With the data it collects from autonomous vehicle sensors and systems in real-time, AI can generate valuable insights on operating conditions that help optimize asset productivity.

From untapped data to insights-driven decision-making

Offshore logistics in the oil and gas industry generate a massive amount of data. However, most of this data remains untapped - or lost - due to aging and siloed systems and tools. AI changes all that and is critical to unlocking data´s full potential in finding alternative solutions to complex problems. With the adoption of an innovative, AI-driven platform, the prospect of greater efficiency, lower costs, enhanced safety, and lower emissions in offshore logistics is closer than ever before.

Author Info

With over 20 years of experience, Rajesh is a seasoned professional leading the Energy & Resources Line of Business at IBS Software. He specializes in product strategy and consulting, guiding a team of 100 domain experts and software professionals in developing cutting-edge technologies and digital transformation programs for prominent oil and gas companies.

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