APPLICATION OF PNN IN THE LITHOLOGY IDENTIFICATION OF LOGGING WHILE DRILLING IN COAL FIELD
CHEN Gang
1 School of Geosciences, China University of Petroleum (East China), Qingdao 266580, Shandong Province, China; 2 Xi'an Research Institute Co., Ltd. of China Coal Technology and Engineering Group, Xi'an 710000, China
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).
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.
CHEN Gang. APPLICATION OF PNN IN THE LITHOLOGY IDENTIFICATION OF LOGGING WHILE DRILLING IN COAL FIELD. GEOLOGY AND RESOURCES, 2018, 27(1): 103-106.
2018, Vol. 27 
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