Skip to main content

Cost Allocation In The Oil Industry: An Example

  • Conference paper
Combinatorial Optimization

Part of the book series: NATO ASI Series ((NATO ASI F,volume 82))

  • 338 Accesses

Abstract

We consider the problem of allocating the costs among the potential users of a gas processing system. The cost allocation problem is solved using cooperative game theory. We show how the cost allocation problem can be solved when the characteristic function is given implicitely as the solution of a mathematical programming problem.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aboudi R., Jornsten K, Bjornestad S. (1989,a) Sequencing Offshore Oil and Gas Fields, Investigacion Operativa 1, 3 (1990).

    Google Scholar 

  2. Aboudi R., Hallefjord A., Ilelgesen C., Helming R., Jornsten K., Pettersen A. S., Raum T., Spence P., A Mathematical Programming Model for the Development of Petroleum Fields and Transport Systems, European Journal of Operational Research 43, 1 (1989).

    Article  Google Scholar 

  3. Dragan I., A Procedure for Finding the Nucleolus of a Cooperative n Person Game, Zeitschrift fur Operations Research 25 119–131 (1981).

    Article  MathSciNet  MATH  Google Scholar 

  4. Granot D., A Generalised Linear Production Model, Mathematical Programming 34 212–222 (1986).

    Article  MathSciNet  MATH  Google Scholar 

  5. Hallefjord A., Nilssern T., A Dynamic Model for the Design of a Pipeline Network, CMI working paper, Chr. Michelsen Institute Bergen Norway (1984).

    Google Scholar 

  6. Hallefjord A., Helming R., Jornsten K., Computing the Nucleolus when the Characteristic Function is given Implicitly: A Constraint Generation Approach, Research Report Chr. Michelsen Institute for Science and Intellectual Freedom Report, No 30151 (1988).

    Google Scholar 

  7. Schmiedler D., (1969), The Nucleolus of a Characteristic Function Game, SIAM J. Appl. Math. 17 (6) 1163–1170 (1969).

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jørnsten, K.O. (1992). Cost Allocation In The Oil Industry: An Example. In: Akgül, M., Hamacher, H.W., Tüfekçi, S. (eds) Combinatorial Optimization. NATO ASI Series, vol 82. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77489-8_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-77489-8_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-77491-1

  • Online ISBN: 978-3-642-77489-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics