Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
Add to Favorite Get Latest Update

Identification of Sedimentary Macrofacies with Neural Network

Ran Qiquan; Li Shilun and Gu Xiaoyun(Institute of Mechanics, Chinese Academy of Sciences, Beijing 100080)(Southwest Petoleum Institute, Nanchong 637001 )  
This paper introduces an identification of sedimentary microfactes by the pattern recognition approach using neural network. The approach firstly established the relationship between the logging facies and geological facies according to the key-well study as an identified pattern,then obtained intelligent knowledge by learning from the identified pattern, and finally applied the knowledge to identify the microfacies in unknown wells and sites again. The approach was successfully applied in the recognition and subdivision of sedimentary microfacies of the 4th member of the Shahejie formation, Wenlin Area, Zhongyuan Oilfield.
【CateGory Index】: P512.2
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved