TY  - Data
T1  - Supervised learning for drilling formation sensing: model evaluation and parameter analysis dataset (2009-2013)
A1  - ChenDong
DO  - 10.12072/ncdc.xda14.db6398.2024
PY  - 2024
DA  - 2024-03-28
PB  - National Cryosphere Desert Data Center
AB  - 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.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/079816f7-7082-49d2-91f0-aef01ae241df
ER  -