Methods Of Stimulation Prediction And Messure Programming

Stimulations are very useful for mature filed to maintain oil production and control water production. It's important for people to increase the economic benefit from improving the measure investment by utilizing measure programming. However, in the actual programming work, the problem is both of the theory and methods for messure programming are poor. More concerned about the geological factors, engineering factors and production factors for the daqing oil field, There are new analytical model, numerical mode and statistical mode for fracturing predicting, acidizing predicting, plug predicting and profiles control predicting in this article, which are used for measure programming. Based on this, new measure programming models which are belong to 0-1 programming model are established. This model can be realized by Genetic Algorithms (GA) method.This model has been applied to a development unit in Daqing Oilfield.The applied result shows that the methods in this article are effective and reliable. The measure predict evaluation systems are both satisfied of the prediction velocity and precision. And it overcome the problems of exploitation programming model and single well prediction model. Further more, the new measure programming model is not only used for optimizing the workload ,but also for well selection. And it give a support for stimulations designs...