Optimal Design of Gas Pipeline Networks

1979 ◽  
Vol 30 (12) ◽  
pp. 1047 ◽  
Author(s):  
Sita Bhaskaran ◽  
Franz J. M. Salzborn
Keyword(s):  
Optimal Design ◽  
Gas Pipeline ◽  
Pipeline Networks

Optimal Design of Gas Pipeline Networks

1979 ◽  
Vol 30 (12) ◽  
pp. 1047-1060 ◽  
Author(s):  
Sita Bhaskaran ◽  
J. M. Franz
Keyword(s):  
Optimal Design ◽  
Gas Pipeline ◽  
Pipeline Networks

scholarly journals Interoperability of LNG terminals and gas pipeline networks

2021 ◽  
Vol 8 (1) ◽  
pp. 48-56
Author(s):  
Zihang Fu ◽  
Tongwen Shan ◽  
Yuxia Yang ◽  
Fang Liu
Keyword(s):  
Gas Pipeline ◽  
Pipeline Networks

scholarly journals GPU-accelerated hydraulic simulations of large-scale natural gas pipeline networks based on a two-level parallel process

2020 ◽  
Vol 75 ◽  
pp. 86
Author(s):  
Yue Xiang ◽  
Peng Wang ◽  
Bo Yu ◽  
Dongliang Sun
Keyword(s):  
Natural Gas ◽  
Large Scale ◽  
Parallel Simulation ◽  
Simulation Software ◽  
Gas Pipeline ◽  
Processing Unit ◽  
Pipeline Network ◽  
Natural Gas Pipeline ◽  
Pipeline Networks ◽  
Speedup Ratio

The numerical simulation efficiency of large-scale natural gas pipeline network is usually unsatisfactory. In this paper, Graphics Processing Unit (GPU)-accelerated hydraulic simulations for large-scale natural gas pipeline networks are presented. First, based on the Decoupled Implicit Method for Efficient Network Simulation (DIMENS) method, presented in our previous study, a novel two-level parallel simulation process and the corresponding parallel numerical method for hydraulic simulations of natural gas pipeline networks are proposed. Then, the implementation of the two-level parallel simulation in GPU is introduced in detail. Finally, some numerical experiments are provided to test the performance of the proposed method. The results show that the proposed method has notable speedup. For five large-scale pipe networks, compared with the well-known commercial simulation software SPS, the speedup ratio of the proposed method is up to 57.57 with comparable calculation accuracy. It is more inspiring that the proposed method has strong adaptability to the large pipeline networks, the larger the pipeline network is, the larger speedup ratio of the proposed method is. The speedup ratio of the GPU method approximately linearly depends on the total discrete points of the network.

Optimal design of oilfield surface pipeline networks for the cyclic water injection development method

2018 ◽  
Vol 171 ◽  
pp. 1400-1408 ◽  
Author(s):  
Bohong Wang ◽  
Yongtu Liang ◽  
Meng Yuan ◽  
Jinghui Wang ◽  
Haoran Zhang ◽  
...  
Keyword(s):  
Optimal Design ◽  
Water Injection ◽  
Development Method ◽  
Pipeline Networks
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