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23 European Symposium on Computer Aided Process Engineering

A Mixed Integer Linear Program decomposition solution to the scheduling activities in a real-world pipeline used to transport heavy oil derivatives.

By: João A. Fabro,Sérgio L. Stebel,L.V.R. Arruda,Flávio Neves,Ana Paula F.D. Barbosa-Póvoa,Susana Relvas

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23 European Symposium on Computer Aided Process Engineering

A Mixed Integer Linear Program decomposition solution to the scheduling activities in a real-world pipeline used to transport heavy oil derivatives.

By: João A. Fabro,Sérgio L. Stebel,L.V.R. Arruda,Flávio Neves,Ana Paula F.D. Barbosa-Póvoa,Susana Relvas

This paper presents a novel approach to aid the operational decision-making of scheduling activities in a real-world pipeline used to transport heavy oil derivatives. Heavy oil derivatives are products of less aggregate value, such as fuel oils, e.g. Marine Fuel. These products present some special characteristics for their transport. Indeed due to their viscosity at the room temperature it is impossible to transport them without heating. Thus, when transporting such products through pipelines the entire pipeline network (and the storage tanks) must be maintained heated during the entire pumping process. Such characteristics imply that a specific model oriented to this type of problem must be developed. Some papers have already addressed scheduling decisions within pipeline networks, but the considered scenario is particularly complex. In a heavy oil derivatives pipeline system, it's common to use the same tank for different products during the scheduling horizon, thus changing the aggregate capacity of storage for some products. This procedure is known as the exchange of service of the tank. In order to perform the programmed movements, it's frequent the relocation of a tank from one product to another, decreasing the storage capacity of the former while increasing the later. In addition, a lot of constraints are modelled, as instance, product blending in line, tankage constraints, volume of pipes, production/consumption constraints, and a series of operational requirements. The approach proposed in this work is formed by a decomposition procedure that uses a sequence of mathematic models and heuristicsto solve the problem. The proposed approach is tested using a real-world scenario, composed of a pipeline tree system. The model has been extensively tested in typical operational scenarios. Such models have been solved to optimality in few CPU seconds using a commercial package.

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Page Count

17

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Elsevier Inc. Chapters

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ISBN 10

0128085983

ISBN 13

9780128085981

23 European Symposium on Computer Aided Process Engineering

A Mixed Integer Linear Program decomposition solution to the scheduling activities in a real-world pipeline used to transport heavy oil derivatives.

By: João A. Fabro,Sérgio L. Stebel,L.V.R. Arruda,Flávio Neves,Ana Paula F.D. Barbosa-Póvoa,Susana Relvas

Write a review Read reviews Take a Quiz Solve Book Puzzle

23 European Symposium on Computer Aided Process Engineering

A Mixed Integer Linear Program decomposition solution to the scheduling activities in a real-world pipeline used to transport heavy oil derivatives.

By: João A. Fabro,Sérgio L. Stebel,L.V.R. Arruda,Flávio Neves,Ana Paula F.D. Barbosa-Póvoa,Susana Relvas

This paper presents a novel approach to aid the operational decision-making of scheduling activities in a real-world pipeline used to transport heavy oil derivatives. Heavy oil derivatives are products of less aggregate value, such as fuel oils, e.g. Marine Fuel. These products present some special characteristics for their transport. Indeed due to their viscosity at the room temperature it is impossible to transport them without heating. Thus, when transporting such products through pipelines the entire pipeline network (and the storage tanks) must be maintained heated during the entire pumping process. Such characteristics imply that a specific model oriented to this type of problem must be developed. Some papers have already addressed scheduling decisions within pipeline networks, but the considered scenario is particularly complex. In a heavy oil derivatives pipeline system, it's common to use the same tank for different products during the scheduling horizon, thus changing the aggregate capacity of storage for some products. This procedure is known as the exchange of service of the tank. In order to perform the programmed movements, it's frequent the relocation of a tank from one product to another, decreasing the storage capacity of the former while increasing the later. In addition, a lot of constraints are modelled, as instance, product blending in line, tankage constraints, volume of pipes, production/consumption constraints, and a series of operational requirements. The approach proposed in this work is formed by a decomposition procedure that uses a sequence of mathematic models and heuristicsto solve the problem. The proposed approach is tested using a real-world scenario, composed of a pipeline tree system. The model has been extensively tested in typical operational scenarios. Such models have been solved to optimality in few CPU seconds using a commercial package.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

17

Publisher

Elsevier Inc. Chapters

Published Date

ISBN 10

0128085983

ISBN 13

9780128085981