%0 Dataset
%T Supervised learning for drilling formation sensing: model evaluation and parameter analysis dataset (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/079816f7-7082-49d2-91f0-aef01ae241df
%W NCDC
%R 10.12072/ncdc.xda14.db6398.2024
%A ChenDong
%K Tarim Basin;Devonian Donghetang Formation;logging curve;oil and gas logging;lithology identification
%X A variety of supervised learning models are used for perceptual identification and parameter analysis of drilling formations. The data fields are schematized as follows: ILD：Induction Logging Device; SP：Spontaneous Potentialv CN：Neutron Logging; ILM：Intermediate Logging Device; GR：Gamma Ray Logging; CAL：Caliper; AC：Acoustic Logging; DEN：Density Logging.