关键词: 油藏开发地质, 剩余油富集, 控制因素, 低级序断层, 河流相储层, 油藏描述

Abstract: The previous methods based on neural network are difficult to predict the water saturation of next year based on the data of the given years.A new method combining the neural networks with the principle of implicit curve can effectively handle the above problem.First,the vector data of every year are mapped into a closed curve,and a virtual explicit function is constructed on the constraint points.Then,the explicit function is approximated by a backpropagation neural network.Finally,the isoline of the neural network is extracted from the simulation surface.The predicted data can be obtained by the inverse mapping of the isoline.Some experiment results verified the effectiveness of this method.

Key words: backpropagation neural network, implicit curve, well log data, prediction, time vector serial, well log curve, numerical simulation