Oil Spill trajectory tracking using swarm intelligence and hybrid fuzzy system

Abstract

Increase of the offshore industrial activities is highly affecting marine milieu. For example, discharge of liquid petroleum on water surface, oil spill, frequently happens because of the offshore well vessels failure or transportation accidents. Numerous occurrences of the oil spills are obvious examples of affecting ecology by industrialization. Therefore, information about the exact location and real-time situation of an oil spill can significantly facilitate to plan for diminishing the spot, in time. This research proposes a hybrid fuzzy algorithm for individuals of swarm robots, in order to track the boundaries of a simulated oil spill which is influenced by environmental factors such as wind and wave currents. Simulation results prove the feasibility of engaging swarm robotics in this application.