Dynamic model for identification of fractures and its application

A host of research practices show that the behavioral characteristics of oil wells have relations with the distribution of formation physical property and fractures.So it is very important to clarify the distribution of natural fractures and artificially induced factures so as to adjust water flooding well patterns.This paper based on Bayes posterior probability formula,establishes a dynamic model for the identification of fractures by using five performance parameters such as water breakthrough period,waterline movement velocity,rising velocity of water cut,cumulative injection production ratio,and injection pressure.It carries out an analogy between the samples to be distinguished and the known ones to confirm how to classify them.The relationship between dynamic model parameters and fracture parameters is analyzed on the basis of practical application,showing that the dynamic model for identification of fractures can be used to identify the fracture distribution and the connection between oil and water wells.Then the approximate direction of fractures can be confirmed.The new model is built in accordance with dynamic data,and more fully embodies the dynamic change of well fractures as compared to other approaches.