Modelling of pipeline routes in the oil and gas industry is necessary to examine in this decade. The complexity of the pipeline design in the oil and gas business increases operational costs over time. In addition to operational costs, the problem with pipe design is that humans cannot calculate with certainty the physical limitations that occur in the pipeline. Therefore, produce a level of certainty in the pipeline design is fallacious. The use of Genetic Algorithms (GA) and Dijkstra's Algorithm (DA) as artificial intelligence produce easy calculation and prediction of pipelines to the optimal and accurate stages. The pipeline simulation is based on the pipe's length and the amount of bending as a physical attribute to pressure drop in pipeline. In this study, the algorithm uses 2000 data generation from 100 populations, 80% of the data used for training the algorithm model (1600 experiments), and 20% (400 experiments) of data used for control-the experiment conducted in a 1: 5000 (65 x 60 grid) environment. The research used a map of the distribution of oil and gas pipelines in Nigeria around the regions of Benin, Warri, Owerri, Aba, and Harcourt. Pipeline optimization from genetic algorithm modelling and Dijkstra's Algorithm increased prediction efficiency by 4.9%.
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23 September 2021
THE 5TH INTERNATIONAL TROPICAL RENEWABLE ENERGY CONFERENCE (THE 5TH iTREC)
29–30 October 2020
Depok, Indonesia
Research Article|
September 23 2021
Piping system development in oil and gas field based on Dijkstra’s algorithm and genetic algorithm
Gunawan;
Gunawan
a)
Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia
, Depok, Indonesia
a)Corresponding author: [email protected]
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Allessandro Setyo Anggito Utomo;
Allessandro Setyo Anggito Utomo
Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia
, Depok, Indonesia
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Altabibi Naufal Syafaq
Altabibi Naufal Syafaq
Department of Mechanical Engineering, Faculty of Engineering, Universitas Indonesia
, Depok, Indonesia
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a)Corresponding author: [email protected]
AIP Conf. Proc. 2376, 050002 (2021)
Citation
Gunawan, Allessandro Setyo Anggito Utomo, Altabibi Naufal Syafaq; Piping system development in oil and gas field based on Dijkstra’s algorithm and genetic algorithm. AIP Conf. Proc. 23 September 2021; 2376 (1): 050002. https://doi.org/10.1063/5.0063889
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