Study On Dynamic Indexes Predicting Methods Of Polymer Flooding

At present, the polymer flooding has become a major enhanced oil recovery method in Daqing oil field. Because the oil displacement mechanism of polymer solution is very complicate, the dynamic indexs are very different between water flooding and polymer flooding. How to solve the problem is the most important issue. Prediction is the precondition of plans. To guide the polymerflooding production programming and plan, dynamic indexes of polymerflooding must be predicted precisely first. So the main idea of this paper is to guide the production programming and plans by predicting the polymerflooding dynamic indexes precisely.The oil layer condition before polymerflooding in Daqing Oilfield has been studied, and lab experiments and molecular dynamics are adopted, the mechanism of polymerflooding and designing theory of polymerflooding programme have been studied. And on the basis of calssifying the polymerflooding area, the prediction method of polymerflooding dynamic indexes has been studied and applied in daily work.There are four main results in this paper. First, oil layer conditions before polymerflooding are more clear, chemical and physical characters, the effect of waterflooding and the remaining reserves are studied, these are the basics of polymerflooding plans. Secondly, on the basis of lab and theory studies, the oil displacement mechanism and design theory of polymerflooding are known better. Third, systematic clustering method is used to group all the polymerflooding areas, indexes and calculation method have been studied. Finally, comprehensive dynamic analysis and neural network methods are studied and used in polymerflooding dynamic indexes prediction, mechanism, indexes and calculation methods of these two new methods are studied, and the application has shown a good result, we can believe that the two can guide the programming and plans of polymerflooding production better than those former methods.