TY  - Data
T1  - Supervised learning for drilling formation sensing: model evaluation and parameter analysis dataset (2009-2013)
A1  - CHEN Dong
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  -