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Quantitative Method of Classification and Discrimination of a Porous Carbonate Reservoir Integrating K-means Clustering and Bayesian Theory

FANG Xinxin ZHU Guotao YANG Yiming LI Fengling FENG Hong

地质学报（英文版）2023，Vol.97Issue(1)：176-189,14.

Quantitative Method of Classification and Discrimination of a Porous Carbonate Reservoir Integrating K-means Clustering and Bayesian Theory

FANG Xinxin ¹ZHU Guotao ²YANG Yiming ³LI Fengling ³FENG Hong³

作者信息

1. China Coal Research Institute,Beijing 100013,China
2. Xi'an Research Institute of China Coal Research Institute,Xi'an 710077,China
3. Oilfield Technology Service Company of Xinjiang Oilfield Company,PetroChina,Karamay,Xinjiang 834000,China
折叠

摘要

关键词

upstream/resource exploration/reservoir classification/carbonate/K-means clustering/Bayesian discrimination/Cenomanian–Turonian/Iraq

Key words

upstream/resource exploration/reservoir classification/carbonate/K-means clustering/Bayesian discrimination/Cenomanian–Turonian/Iraq

引用本文复制引用

FANG Xinxin,ZHU Guotao,YANG Yiming,LI Fengling,FENG Hong..Quantitative Method of Classification and Discrimination of a Porous Carbonate Reservoir Integrating K-means Clustering and Bayesian Theory[J].地质学报（英文版）,2023,97(1):176-189,14.

基金项目

The paper is funded by the National Key Research and Development Program(Grant No.2018YFC0807804-2).Dr.Susan Turner(Brisbane)is thanked for her language assistance and research/detective work. （Grant No.2018YFC0807804-2）

地质学报（英文版）

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ISSN：1000-9515

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