Use Case Oil & Gaz
Ressources Optimization
Our client supplies its offshore oil platforms with resources (equipment and people) and by boat. Trips are manually analyzed and planned by an employee.
He wants to reduce the supply costs of the latter by automatically obtaining the right fleet of boats to be sent according to a large number of logistical constraints.
Challenges
Managing offshore resource logistics involves multiple constraints, cost considerations, and environmental factors. Optimizing these aspects through automation is essential to enhance efficiency and reduce operational expenses.
Numerous constraints
Number and size of boats, rental prices, oil prices, number of docks and distance from ports, stages of missions and associated resources, etc.
Optimize mission costs
Reducing unnecessary expenses by optimizing fleet usage, fuel consumption, and mission planning while ensuring operational efficiency.
Taking into account the ecological impact
Minimizing the environmental footprint by reducing fuel consumption, optimizing travel routes, and integrating sustainability measures into logistical planning.
Solution
Design and optimization of a mathematical model for cost planning (automated process).
Study of production release needs (cloud environment, necessary connections to existing services within the company) and perfect adaptation to it.
Creation of a web interface allowing access to the model, the generation of an optimized schedule, the obtaining of KPIs around it.
Transfer of schedules to the company’s various platforms (automation of another previously manual process).
Results
Time savings in fleet organization by automating the planning process while respecting a large number of constraints.
Automate the transfer of optimized schedules to the company’s various IT departments and seamlessly integrate with the cloud platform.
20%
Savings per mission
5%
Reduction in CO2
