Development Sequence Optimization of Fault-Block Oilfields Based on the Back Propagation Neural Network Model Improved by Imperial Competition Algorithm

Author:

Xu Qing-yan,Sun Xiao-fei,Zhai Guang-hua,Wang Rui-feng,Zhang Jin-lin,Lei Cheng

Publisher

Springer Nature Singapore

Reference14 articles.

1. Liu, X., Yang, C., Yang, J., et al.: A new discussion on comprehensive evaluation system development effect in complex fault-block reservoirs. Fault-Block Oil Gas Field 15(1), 80–83 (2008)

2. Wang, D., Yang, Y., Xu, J., et al.: Three-dimensional development techniques in complicated fault-block reservoir. Pet. Geol. Recov. Eff. 18(5), 54–57 (2011)

3. Chu, Q., Chen, X., Shi, P., et al.: Developmed effects analyses and quantitative evaluating method for Qinjiatun complex fault-block oilfield. Pet. Geol. Oilfield Dev. Daqing 35(3), 58–63 (2016)

4. Tan, X., Liu, Y., Zhou, X., et al.: Multi-parameter quantitative assessment of 3D geological models for complex fault-block oil reservoirs. Pet. Explor. Dev. 46(1), 185–194 (2019)

5. Chen, H., Hu, Z., Wang, X., et al.: Application of fuzzy comprehensive evaluation technology in fast evaluation of complex fault block reservoirs. Petrochem. Technol. 23(4), 17–18 (2016)

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