Drilling optimization in Maroon and Ramin oil fields using mathematical models

The reason for drilling optimization is high drilling costs and low drilling speed of wells. The ultimate goal of the optimization process is to reduce the disturbing parameters in the drilling operation to the minimum possible and also to change the hydraulic and mechanical parameters to achieve the optimalrate of penetration. In practice, drilling processes are often performed experimentally, which is not immune to error and has led to unwanted losses. In the first part of this study, the improved Bourgoyne Young model is implemented on data related to 10 wells from Ramin oil field using genetic algorithm method. The reason for choosing this model is that it has more influential factors than other models. The required data can also be found in the daily reports. After implementing the information of the studied wells on the model, we saw a high agreement between the actual and predicted data. This means that this model is a good option for modeling drilling operations in Ramin field. In the second part, using the constructed model, genetic algorithm and hydraulic optimization equations, we present a drilling optimization model and optimize the data of a sample well. The results of this optimization and its comparison with the actual well data show that the rate of penetration has improved by an average of 100%  and also the hole cleaning is in good condition. This significantly reduces drilling time and the high cost of renting onshore and offshore rigs.