|国家科技期刊平台
| 注册
首页|期刊导航|中国海洋大学学报（自然科学英文版）|A Deep Learning-Aided Method for Precise Identification of Microporosity:A Case Study from the Marine Hydrocarbon Reservoirs in the South China Sea

A Deep Learning-Aided Method for Precise Identification of Microporosity:A Case Study from the Marine Hydrocarbon Reservoirs in the South China Sea

GUO Dingrui DONG Huaimin SHENDY Saeid Ahmadizadeh JAYASURIYA Madusanka N. FERNANDO Shanilka G. GOLSANAMI Naser ZHANG Zhi GYIMAH Emmanuel BAKHSHI Elham AHMAD Qazi Adnan BEHNIA Mahmoud SABERALI Behzad YAN Weichao

中国海洋大学学报（自然科学英文版）2025，Vol.24Issue(6)：1450-1468,中插1-中插11,30.
✕
中国海洋大学学报（自然科学英文版）2025，Vol.24Issue(6)：1450-1468,中插1-中插11,30.DOI:10.1007/s11802-025-6140-4

A Deep Learning-Aided Method for Precise Identification of Microporosity:A Case Study from the Marine Hydrocarbon Reservoirs in the South China Sea

A Deep Learning-Aided Method for Precise Identification of Microporosity:A Case Study from the Marine Hydrocarbon Reservoirs in the South China Sea

GUO Dingrui 1DONG Huaimin 2SHENDY Saeid Ahmadizadeh 3JAYASURIYA Madusanka N. 4FERNANDO Shanilka G. 4GOLSANAMI Naser 5ZHANG Zhi 4GYIMAH Emmanuel 4BAKHSHI Elham 6AHMAD Qazi Adnan 7BEHNIA Mahmoud 8SABERALI Behzad 9YAN Weichao10

作者信息

  • 1. State Key Laboratory of Mining Disaster Prevention and Control,Shandong University of Science and Technology,Qingdao 266590,China||Shenyang Research Institute,China Coal Technology&Engineering Group,Fushun 113122,China
  • 2. School of Geological Engineering and Geomatics,Chang'an University,Xi'an 710054,China
  • 3. Department of Chemistry,Sofian Branch,Islamic Azad University,Sofian5381631167,Iran
  • 4. College of Energy and Mining Engineering,Shandong University of Science and Technology,Qingdao 266590,China
  • 5. State Key Laboratory of Mining Disaster Prevention and Control,Shandong University of Science and Technology,Qingdao 266590,China||College of Energy and Mining Engineering,Shandong University of Science and Technology,Qingdao 266590,China
  • 6. College of Energy and Mining Engineering,Shandong University of Science and Technology,Qingdao 266590,China||Department of Engineering Systems,Talca University,Talca 3460000,Chile
  • 7. College of Energy and Mining Engineering,Shandong University of Science and Technology,Qingdao 266590,China||School of Mines,China University of Mining and Technology,Xuzhou 221116,China
  • 8. Department of Mining Engineering,Isfahan University of Technology,Isfahan8415683111,Iran
  • 9. School of Petroleum Engineering,China University of Petroleum(East China),Qingdao 266580,China
  • 10. Frontiers Science Center for Deep Ocean Multispheres and Earth System,Key Laboratory of Submarine Geosciences and Prospecting Techniques,MOE and College of Marine Geosciences,Ocean University of China,Qingdao 266100,China||Laboratory for Marine Mineral Resources,Qingdao Marine Science and Technology Center,Qingdao 266237,China
  • 折叠

摘要

关键词

SEM/depth of field/resolution loss/permeability/deep learning/fractal dimension

Key words

SEM/depth of field/resolution loss/permeability/deep learning/fractal dimension

引用本文复制引用

GUO Dingrui,DONG Huaimin,SHENDY Saeid Ahmadizadeh,JAYASURIYA Madusanka N.,FERNANDO Shanilka G.,GOLSANAMI Naser,ZHANG Zhi,GYIMAH Emmanuel,BAKHSHI Elham,AHMAD Qazi Adnan,BEHNIA Mahmoud,SABERALI Behzad,YAN Weichao..A Deep Learning-Aided Method for Precise Identification of Microporosity:A Case Study from the Marine Hydrocarbon Reservoirs in the South China Sea[J].中国海洋大学学报（自然科学英文版）,2025,24(6):1450-1468,中插1-中插11,30.

基金项目

This work was supported financially by the Natural Science Foundation of Shandong Province of China(Nos.ZR2022QD080 and ZR2025MS575),the National Natu-ral Science Foundation of China(Nos.W25322063,42250410333,52250410357),the Fundamental Research Funds for the Central Universities,CHD(No.300102263103),and the Young Talent Fund of Association for Science and Technology in Shaanxi,China(No.20230703). （Nos.ZR2022QD080 and ZR2025MS575）

中国海洋大学学报（自然科学英文版）

1672-5182

访问量0
|
下载量0
段落导航相关论文