%0 Dataset
%T Well logging data set of TZ4 wells in the Devonian Donghetang Formation, Tarim Basin (2009-2013)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/0190eb3c-7c8c-4bc5-a1b6-de0ab83379c4
%W NCDC
%R 10.12072/ncdc.xda14.db6395.2024
%A ChenDong
%K Devonian Donghetang Formation;logging curve;oil and gas logging;Tarim Basin;lithology identification
%X Intelligent recognition method of rock formation based on lithology recognition method is based on machine learning classification algorithm, which can classify and recognize logging data and logging map, and effectively learn and memorize the characteristics of rock formations in the reservoir. The rock formation intelligent recognition method based on lithology recognition method is based on machine learning classification algorithm, which can classify and recognize the logging data and logging charts The method can compare four algorithms, namely, adsorbed rock body, decision tree, random forest, and SVM, and select the highest lithology recognition accuracy. To meet the recognition accuracy, efficiency and other requirements to provide an important basis for the automatic interpretation of logging data and computerized stratigraphic self-recognition is of great significance. The TZA well is located in the Tarim Basin. Its location is Devonian Donghetang Formation, which contains three lithologies including fine sandstone.