Application of Multi-Nodal Network Simulation Models in Debottlenecking Complex Pipeline Network

Author(s):  
Dumitru Cernelev ◽  
Allan Chegus ◽  
Frank Lin

The problem of identifying and removing bottlenecks in a multi-terminal oil & gas pipeline network while achieving quality and delivery targets is a very real and complex problem. The most effective way to meet the above business objective is to develop a terminal network simulation model. This paper is a case study describing the approach in designing a complex multi-nodal pipeline network simulation model with objective to resolve a critical inter-company storage problem for a major refiner. Various complex system modeling techniques and approaches are elaborated with a focus on practical application. A case study is also presented to demonstrate the practical application of the modeling techniques for terminal network simulation model development.

2020 ◽  
Vol 141 ◽  
pp. 112962
Author(s):  
C. Prem Sankar ◽  
Drisya Alex Thumba ◽  
T.R. Ramamohan ◽  
S.S. Vinod Chandra ◽  
K. Satheesh Kumar

Author(s):  
V. Ngoc Nguyen

The traffic network simulation model, SCATSIM, was developed by the Roads and Traffic Authority of New South Wales, Australia, as an aid to the development and improvement of the Sydney Coordinated Adaptive Traffic System (SCATS). It is capable of simulating traffic under different control techniques (such as fixed-time and SCATS adaptive control). Other traffic control systems, with known control algorithms, can also be simulated by SCATSIM. This paper is aimed at evaluating SCATSIM performance against a well-accepted analytical model, TRANSYT. Test runs demonstrate that SCATSIM is capable of simulating comprehensive traffic conditions derived from real world situations. It indicates that SCATSIM can simulate (a) traffic delay, vehicle stops, and fuel consumption within 11 percent of those predicted by TRANSYT; and (b) vehicle pollution emission (carbon monoxide, hydrocarbons, and oxides of nitrogen) within 5 percent of what is derived from TRANSYT results.


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