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本文提出了采用人工神经网络对油藏描述中的储层参数进行计算的方法 ,对 BP神经网络的算法进行了改进 ,提高了网络的收敛速度 ,在应用中取得了良好的效果。对神经网络技术在油藏描述中的应用进行了有益的尝试。
In this paper, a method of calculating reservoir parameters in reservoir description by using artificial neural network is proposed. The algorithm of BP neural network is improved and the convergence speed of the network is improved. Good results have been achieved in application. A useful attempt is made on the application of neural network technology in reservoir description.