The Role of AI and Automation in Offshore Logistics

Our AI management process in Fig. 1 has been successful in delivering AI projects that provide optimal outcomes. It’s important to reflect on and build upon the following key aspects:

• Framing of AI and data needs - validate the need, study the quantity and quality of the data, decide on the task to be performed, what the model output will be, and precisely determine the necessary performance and associated metrics.
• Feasibility study - prototyping, creating, and validating models, evaluating performance.
• Scaling up, industrialization  - setup a specific development path to integrate the model with the existing product, accessing the model by API.
• Maintenance -  maintain and update the model. 

The Offshore Energy Industry and Its Challenges

Offshore energy operations, whether for oil and gas exploration, wind energy, or marine renewables, are characterized by their unique challenges. 
These include: 

• Extreme weather conditions
• Remote locations
• Heavy equipment
• Strict safety regulations

Traditionally, managing offshore logistics in such an environment was labour-intensive, time-consuming, and often prone to errors, leading to operational inefficiencies.

The Significance of AI and Automation

1. Safety: 
Is paramount in offshore energy operations. At Sercel, we believe AI and automation can reduce human exposure to dangerous conditions by taking over repetitive and hazardous tasks. We have seen the introduction of autonomous drones and underwater robots that can inspect equipment and gather data, mitigating the risk to humans. The Marlin Application Suite can assist in the safety of your offshore assets, giving you protection while you focus on other tasks.

2. Efficiency: 
Offshore logistics can be complex, with the need to coordinate multiple vessels, supply chains, and personnel. With the Sercel’s Marlin Application Suite we can optimize routes and plan maintenance schedules. We can also consider building in real-time data from various inputs to make immediate adjustments, such as rerouting vessels to avoid adverse weather conditions or stopping the wrong offshore supply vessel being loaded with the wrong hazardous loads.

3. Cost-Effectiveness: 
AI and automation are also aiding in the reduction of operational costs. With better inventory management and predictive maintenance, the industry can minimize downtime, reduce fuel consumption, and limit the need for physical inspections. The Marlin Application Suite can support you in this area by optimizing your chartered offshore supply vessel fleet and improving your utilization.

4. Environmental Impact: 
The offshore energy industry has come under increasing pressure to reduce its environmental footprint. Sercel’s Marlin Application Suite can help in optimizing operations to minimize emissions and pollution, ensuring sustainable practices in line with global environmental goals.

Leveraging AI and Automation in Offshore Logistics

Marlin Application Suite is a software solution that harnesses the power of automation and, with the introduction of AI, aims to address the challenges faced by the industry:

1. Dynamic Route Optimization: 
Marlin will use AI algorithms to optimize vessel routes in real-time, considering weather conditions, vessel performance, and safety factors. This ensures that goods and personnel reach their destinations safely and efficiently.

2. Predictive Modelling: Ultimately, Marlin could be employed to analyze your historical data. By utilizing scenario modeling, it could enhance your planning and conflict resolution strategies for the future.

3. Environmental Impact Monitoring: 
Marlin Application Suite, using its rules-based approach, will track the environmental impact of offshore marine logistics operations and provide options for minimizing it.

Conclusion

The offshore energy industry's adoption of AI and automation in its logistics operations is transforming the way it operates. The significance of AI and automation in improving safety, efficiency, cost-effectiveness, and environmental sustainability cannot be overstated. 
Software solutions like the Marlin Application Suite demonstrate the potential of these technologies in addressing the unique challenges of the industry, ensuring its continued growth and success while minimizing its impact on the environment.
As the offshore energy industry continues to evolve, it is clear that AI and automation will play an increasingly vital role in shaping its future, making operations safer, more efficient, and more environmentally responsible.