长春大学学报（自然科学版）Issue(2)：56-59,63,5.
量子神经网络在雷家地区岩性识别中的应用
Application of Quantum Neural Networks in Lithology Identification in Leijia Area
王团1
作者信息
- 1. 大庆油田测井公司 四分公司，黑龙江 大庆 163000
- 折叠
摘要
Abstract
The lithology of sand-conglomerate reservoirs in Leijia Area is complicated and variable, resulting in that the accurate identi-fication of lithology is of great significance to the calaulation of parameters of reservoirs. Based on quantum neural network, this paper establishes a lithology identification model, which is used to simulate the mapping relationship between the logging response of sand-conglomerate reservoirs and different lithologies in Leijia Area, so as to realize the automatic recognition of different lithologies in the condition of complicated lithologies.关键词
砂质细砾岩/不等粒砂岩/量子神经网络/岩性识别Key words
sandy micro-conglomerate/inequigranular sandstones/quantum neural network/lithological identification分类
能源科技引用本文复制引用
王团..量子神经网络在雷家地区岩性识别中的应用[J].长春大学学报（自然科学版）,2015,(2):56-59,63,5.
