The invention discloses an oil reservoir inter-well
connectivity determination method based on data driving, and the method comprises the steps of firstly collecting related parameters of an oil fieldblock, obtaining a filtering coefficient of each injection
signal, carrying out the preprocessing of injection and production data, and correcting the
time lag and attenuation of the injection and production data; performing normalization
processing on the injection-production data to form a standard sample set of
neural network learning and training; building a neural network, using a conjugategradient
algorithm as a learning
algorithm, and achieving the rapid optimization solution of neural
network model parameters; and performing parameter
sensitivity analysis based on the trained neuralnetwork model to obtain a connection coefficient for representing the inter-well
connectivity of the oil reservoir. The method is simple and convenient, is high in calculation efficiency, is used forevaluating the dynamic
connectivity between oil reservoir wells, has a better yield prediction effect while having the same inter-well connectivity coefficient calculation precision of a traditional inter-well connectivity judgment method, and can further guide formulation of optimization measures such as profile control and water plugging and intelligent
oil field layered injection and productionhistory fitting and
production optimization.