Intelligent Inspection for Pipeline System
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-9899-7_7
Reference16 articles.
1. Zhang H, Liang Y, Zhang W, et al. Improved PSO-based method for leak detection and localization in liquid pipelines. IEEE Trans Ind Inf. 2018a; 14(7):3143–54. https://doi.org/10.1109/TII.2018.2794987.
2. Zhang H, Yuan M, Liang Y, et al. A risk assessment based optimization method for route selection of hazardous liquid railway network. Saf Sci. 2018b; 110:217–29. https://doi.org/10.1016/j.ssci.2018.04.003.
3. Wang B, Liang Y, Zheng J, et al. A methodology to restructure a pipeline system for an oilfield in the mid to late stages of development. Comput Chem Eng. 2018a; 115:133–40. https://doi.org/10.1016/j.compchemeng.2018.04.008.
4. Wang B, Yuan M, Zhang H, et al. An MILP model for optimal design of multi-period natural gas transmission network. Chem Eng Res Des. 2018b; 129:122–31. https://doi.org/10.1016/j.cherd.2017.11.001.
5. Zhang H, Liang Y, Ma J, et al. An MILP method for optimal offshore oilfield gathering system. Ocean Eng. 2017b; 141:25–34. https://doi.org/10.1016/j.oceaneng.2017.06.011.
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