A Robust New Method for Optimizing Intelligent Reservoir Production

With the rapid development of big data and intelligent algorithms, intelligent oil reservoirs production has emerged. It brings new ways to generate profits for oil fields. The key of this technology is related to the rapid processing of oilfield data, which enables to obtain production decisions faster. This article proposed a new method for intelligent production optimization of oil reservoirs based on big data. Firstly, according to the injection and production development data of the oilfield, a connection model between injection and production wells was established using the principle of material balance. This model not only helps to understand the corresponding relationship between injection and production data in the oilfield, but also enables to predict liquid production. Secondly, a new model was established through reservoir engineering methods which can predict the relationship between oil production and the injection multiples of pore volume, achieving the prediction of oil production in oil fields. Finally, in order to obtain the maximizing net present value, an optimization objective model was established successfully using intelligent algorithms. Compared with the numerical simulation method, this method saved a lot of times and costs. This method has been using on various types of numerical simulation conceptual models, and the calculation results are perfect consistent with the model results, with an error of only 5%. However, compared to the numerical simulation, it not only saves time and costs, but also improves oil production efficiency. This method was applied to a certain oilfield in Bohai and achieved excellent results. The results of research have strong promotion significance, which can be spread in more oil fields in Bohai.