Application of algorithm of runge-kutta method in microbial entrained oil recovery in oil wells of Niger delta in Nigeria

This paper focuses on the mechanisms using algorithm of Runge-Kutta method in monitoring and predicting the microbial entrained oil recovery (MEOR) in Nigeria Delta Oil wells. The microorganisms isolated and identified was cultured as well inoculated into the oil bioreactor set up to examine the degradation of the heaver hydrocarbon, which leads to the production of lighter hydrocarbon considering properties of the enzymes involved in the biodegradation of the heavier hydrocarbon leading to formation of lighter hydrocarbon in the oil, it is suggested that the process build up the pressure of the reservoir in most circumstances. The dynamic models developed in this paper were simulated to study the behaviour of the system. The algorithm of Runge-Kutta method was applied in solving the numerical integral expression obtained from the dynamic models developed. The functional parameters that influence the process were evaluated and a series of test has been carried out in which petroleum hydrocarbon was used as the testing component. All test results revealed that microorganisms are capable of reactivity the oil wells, suggestion that the mechanism of the MEOR process is basically, a simple combination of biodegradation parameters and factors that influence biodegradation process.