本文论述了基于PNN神经网络的地震反演技术的基本原理和流程,对其中的关键技术环节做了初步探讨。神经网络可以实现地震数据和测井数据之间的复杂关系,从而可以反映储层参数之间的关系,有利于推测地下岩层的物性参数。利用神经网络技术反演得到结果在预测了储层的发育上具有一定的前景。 This paper discusses the basic principle and flow of seismic inversion technology based on PNN neural network, and makes a preliminary discussion of the key technologies. Neural network can realize the complex relationship between seismic data and well logging data, which can reflect the relationship between reservoir parameters and help to infer the physical parameters of underground formations. The inversion using neural network technique has certain prospects in predicting reservoir development.