Prediction of petroleum resource abundance based on artificial neural network method: a case study of third member of Paleogene Shahejie Formation in Wenliu area of Dongpu Sag, Bohai Bay Basin

Prediction of petroleum resource abundance based on artificial neural network method: a case study of third member of Paleogene Shahejie Formation in Wenliu area of Dongpu Sag, Bohai Bay Basin

The abundance of petroleum resource is influenced by various factors and involves complex parameters and extensive data. Consequently, traditional geostatistical methods often lack precision in quantitative prediction. To address this issue, this study focuses on the third member of Paleogene Shahej...

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Bibliographic Details
Main Authors: Zijie YANG, Dongxia CHEN, Qiaochu WANG, Fuwei WANG, Sha LI, Ziye TIAN, Shumin CHEN, Wanrong ZHANG, Dongsheng YAO, Yuchao WANG
Format: Article
Language:zho
Published: Editorial Office of Petroleum Geology and Experiment 2024-03-01
Series:Shiyou shiyan dizhi
Subjects:
machine learning
neural network
prediction model
resource abundance
dongpu sag
bohai bay basin
Online Access:https://www.sysydz.net/cn/article/doi/10.11781/sysydz202402428

Internet

https://www.sysydz.net/cn/article/doi/10.11781/sysydz202402428

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