地质与资源2018，Vol.27Issue(1)：103-106,4.
PNN在煤田随钻测井岩性判识应用研究
APPLICATION OF PNN IN THE LITHOLOGY IDENTIFICATION OF LOGGING WHILE DRILLING IN COAL FIELD
摘要
Abstract
The principle of PNN (probabilistic neural network) method and its algorithm training processes,especially the selection of lithologic parameters and establishment of lithologic identification model,are discussed in detail in the paper.The advantages and disadvantages of different identification methods are analyzed with comparison between PNN and other six lithology identifications,as well as the prediction results under the same condition.The study shows that the PNN method is the best in production and application with the shortest training identification time.The use of artificial intelligence neural network for automatic interpretation and analysis of logging data can meet the needs of timeliness and rapid interpretation of logging while drilling (LWD).关键词
随钻测井/岩性识别/PNN/煤田Key words
LWD/lithology identification/PNN/coal field分类
天文与地球科学引用本文复制引用
陈刚..PNN在煤田随钻测井岩性判识应用研究[J].地质与资源,2018,27(1):103-106,4.基金项目
国家十二五重大专项“煤与煤层气地质条件精细探测技术与装备”(2011ZX05040-002). （2011ZX05040-002）
