In this research work a Genetic algorithm has been investigated to identify the occurrence of an oil spill disaster in the oceans. However, to know the type of oil spilled in the ocean is very important aspects which help in planning and fast cleanup process. Through the machine learning technique, it is very challenging to predict the type of oil in the ocean using SAR data. In this research, fifty satellite images with three classes namely crude oil, petroleum, and diesel were monitored and examined to identify the type of spill. The oil spills were identified using the KNN classifier algorithm. Features investigated as Color-based, Textural, Statistical, and Geographical features are extracted through various types of wavelets to determine the type of oil in the ocean.