Pseudo-Acoustic Log Construction Based on Information Fusion from Probabilistic Neural Networks
详细信息
- 责任者：Liu lihong (School of Opto-Electronic Information ; University of Electronic Science and Technology of China ; Chengdu 610054 ; China) ; Peng Zhenming
- 刊名：Oil Geophysical Prospecting
- 出版年：2012
- 卷期：47(5)
- 关键词：声波测井 ; acoustical logging
- 页码：p.803-807
- 图表：2 illus., 1 table, 12 refs.
- 分类号：1600
- issnNo：ISSN1000-7210
- isbnNo：CN13-1095/TE
摘要
An approach to pseudo-acoustic log curve construction based on probabilistic neural networks(PNN) is presented in the paper.Firstly,the basic mathematical model of PNN is discussed.Then,a multi-input and single-output PNN network topology which is fit multi-source logging information fusion is designed on the basis of the model.After that,the output of the model with the minimum fit error criterion is derived using PNN interpolation function.Finally,the actual logging data is processed by the model,and a fast pseudo-acoustic curve construction is adaptively obtained.The processing results show the rationality and effectiveness of the method.