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基于神经网络的水合物藏降压开采产能 预测及参数优化.
- Source :
- Journal of China University of Petroleum; feb2023, Vol. 47 Issue 1, p89-97, 9p
- Publication Year :
- 2023
-
Abstract
- <i>Copyright of Journal of China University of Petroleum is the property of China University of Petroleum and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
Details
- Language :
- Chinese
- ISSN :
- 16735005
- Volume :
- 47
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of China University of Petroleum
- Publication Type :
- Academic Journal
- Accession number :
- 163270712
- Full Text :
- https://doi.org/10.3969/j.issn.1673-5005.2023.01.009