基于非均衡数据的ADASYN-CatBoost测井岩性智能识别——以胶西北招贤金矿床为例
许方颖,邹艳红,易卓炜,杨福强,毛先成

ADASYN-CatBoost Method for Intelligent Identification of Logging Lithology Considering Unbalanced Data:A Case Study of Zhaoxian Gold Deposit in Northwestern Jiaodong Peninsula
Fangying XU,Yanhong ZOU,Zhuowei YI,Fuqiang YANG,Xiancheng MAO
表1 部分测井数据训练集
Table 1 Part of logging data training set
电阻率/(Ω·m)自然伽马/API自然电位/mV岩性编码
84.630.823.04钾化绢英岩化花岗质碎裂岩10
79.254.623.10黄铁绢英岩化碎裂岩9
9053.26.09绢英岩化花岗质碎裂岩4
76.540.613.94绢英岩化花岗岩6
9923.827.70中粒含黑云二长花岗岩3
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94.543.419.03含黑云二长花岗岩7
83.732.216.97钾化绢英岩化花岗质碎裂岩10
1 584.939.24.74钾化花岗质碎裂岩2
75.639.212.01绢英岩化花岗岩6
93.654.621.97中粒含黑云二长花岗岩3