一种用于沉积相分析的新型模式识别方法

A NEW TECHNIQUE FOR PATTERN RECOGNITION OF SEDIMENTARY FACIES

关键词:  沉积微相  测井相  模式识别  智能知识  神经网络

Key words:  sedimentary mierofacies  well logging facies  pattern recognition  intelligent knowledge  neutral network

摘要:

本文介绍一种用于沉积相分析的新型智能模式识别方法——神经网络模式识别方法。该方法利用关键井研究建立的测井相与地质相的对应关系作为识别模式,通过向识别模式学习获得模式识别智能知识,从而利用这些智能知识识别未知井,未知点的微相类型。本文方法成功地应用于中原油田文留地区沙四段沉积微相的识别与划分。

Abstract:

A new type of intelligent model,the neural network model,has been proposed in the present paper for the purpose of recognition of sedimentary facies. The model is based on the corresponding relations between the well logging facies and the geological facies defined by the key well studies. The intelligent knowledge may be obtained from the model, and applied,in turn,to recognition of sedimentary facies in unknown wells or sites. The technique suggested herein has been succesfully applied in recognition and division of sedimentary microfaeies in the fourth member of the sandstones from the Wenliu region in the Zhongyuan Oilfield.