Multiple Fuzzy Parameters Nonlinear Seepage model for Shale Gas Reservoirs-Reference-Cited by-同舟云学术

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Multiple Fuzzy Parameters Nonlinear Seepage model for Shale Gas Reservoirs

Published:2022-06-28 Issue:6 Volume:24 Page:2845-2857
ISSN:1562-2479
Container-title:International Journal of Fuzzy Systems
language:en
Short-container-title:Int. J. Fuzzy Syst.

Author:

Zhang Duo,Nguang Sing Kiong,Shu Lan,Qiu Dong

Funder

Innovative Research Group Project of the National Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s40815-022-01299-8.pdf

Reference24 articles.

1. Shao, J., Zhang, Z., Yu, Z., Wang, J., Zhao, Y., Yang, Q.: Community detection and link prediction via cluster-driven low-rank matrix completion. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19, pp. 3382–3388. International Joint Conferences on Artificial Intelligence Organization, 7 (2019)

2. Yu, Z., Zhang, Z., Chen, H., Shao, J.: Structured subspace embedding on attributed networks. Inf. Sci. 512, 726–740 (2019)

3. Freeman, C.M., Moridis, G., Ilk, D., Blasingame, T.A.: A numerical study of performance for tight gas and shale gas reservoir systems. J. Petroleum Sci. Eng. 108, 22–39 (2013)

4. Guo, T., Zhang, S., Zou, Y., Xiao, B.: Numerical simulation of hydraulic fracture propagation in shale gas reservoir. J. Nat. Gas Sci. Eng. 26, 847–856 (2015)

5. Li, S., Zhang, D., Zheng, P., Gui, Q.: Similar structure of solution for triple media shale gas reservoir. J. Petroleum Sci. Eng. 152, 67–80 (2017)

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