Abstract
A numerical model has been developed based on the solution of the governing partial differential equations of flow and immiscible pollutants named BOil for predicting the backtracking of oil slick incidents in the Kuwaiti offshore and Arabian Gulf waters by using smart mobile technology (IPhone or IPad devices) as shown in Figure 1. The model has been coupled with KGulf Model, which is a hydrodynamic numerical model (Al-Salem, 2012) for predicting the 2-D velocity distribution of the surface water. For the case of transient analysis, the velocity distribution is calculated at each computational time step, in which it would feed into the backtrack oil transport mobile simulation model. The Lagrangian discrete parcel algorithm has been used to predict the back-track oil spills and the model consider Monte Carlo Statistical technique to overcome the random walk in Lagrangian discrete parcel algorithm (Al-Salem K. 2014). The coupled model has been tested in three previous oil incidents occurred in the Arabian Gulf, and the model has successfully back-tracked the oil spills when compared with the observed data. Such technique can possibly be used either on a real-time basis to predict the back movement of oil spill for unexpected accidents or for quick response for decision markers on any oil spill accidents in the offshore sea. For more information on BOil Apps link to web adders at: http://www.hceatkuwait.net/request/Data_iphone.htm.