PREDICTION OF FACIES DISTRIBUTION IN A CLASTIC RESERVOIR USING A HIDDEN MARKOV MODEL COMBINED WITH AN EXPECTATION-MAXIMIZATION ALGORITHM

被引：0

作者：

Suk, Hwasoo ^{[1
,3
]}

Min, Baehyun ^{[2
]}

Kang, Joe M. ^{[3
]}

Jeong, Cheolkyun ^{[4
]}

机构：

[1] Korea Inst Geosci & Mineral Resources, Petr & Marine Res Div, Daejeon, South Korea

[2] Univ Texas Austin, Ctr Subsurface Modeling, Austin, TX 78712 USA

[3] Seoul Natl Univ, Dept Energy Syst Engn, Seoul, South Korea

[4] Schlumberger, Dept Interpretat Dev, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE ASME 35TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING , 2016, VOL 8 | 2016年

关键词：

WELL LOG; CHAINS;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This study determines facies distribution in a elastic reservoir using a hidden Markov model combined with an Expectation-Maximization algorithm. Iterating expectation and maximization steps of the algorithm builds the hidden Markov model by tuning the model parameters including initial state distribution, state transition probability distribution, and observable symbol probability distribution. Optimized model parameters contribute to improving the predictability of facies distribution along the well trajectory using core and logging data.

引用

页数：7

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