IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v27y1999i13p801-810.html
   My bibliography  Save this article

Price, cost and exploration sensitivities of prospective activity levels in the UKCS: an application of the Monte Carlo technique

Author

Listed:
  • Kemp, Alexander G.
  • Stephen, Linda

Abstract

No abstract is available for this item.

Suggested Citation

  • Kemp, Alexander G. & Stephen, Linda, 1999. "Price, cost and exploration sensitivities of prospective activity levels in the UKCS: an application of the Monte Carlo technique," Energy Policy, Elsevier, vol. 27(13), pages 801-810, November.
  • Handle: RePEc:eee:enepol:v:27:y:1999:i:13:p:801-810
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(99)00065-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Smith, James L, 1980. "A Probabilistic Model of Oil Discovery," The Review of Economics and Statistics, MIT Press, vol. 62(4), pages 587-594, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kemp, A. G. & Kasim, A. S., 2003. "Forecasting activity levels in the UK continental shelf: the role of perceptions," Energy Economics, Elsevier, vol. 25(6), pages 713-739, November.
    2. Goldemberg, José & Schaeffer, Roberto & Szklo, Alexandre & Lucchesi, Rodrigo, 2014. "Oil and natural gas prospects in South America: Can the petroleum industry pave the way for renewables in Brazil?," Energy Policy, Elsevier, vol. 64(C), pages 58-70.
    3. Laura Gabrielli & Aurora Greta Ruggeri & Massimiliano Scarpa, 2023. "Roadmap to a Sustainable Energy System: Is Uncertainty a Major Barrier to Investments for Building Energy Retrofit Projects in Wide City Compartments?," Energies, MDPI, vol. 16(11), pages 1-21, May.
    4. Kashani, Hossein A., 2006. "A problem of incentive compatibility in the North Sea petroleum industry," Energy Policy, Elsevier, vol. 34(9), pages 1032-1045, June.
    5. Aurora Greta Ruggeri & Laura Gabrielli & Massimiliano Scarpa, 2020. "Energy Retrofit in European Building Portfolios: A Review of Five Key Aspects," Sustainability, MDPI, vol. 12(18), pages 1-38, September.
    6. Rui Guo & Dongkun Luo & Xu Zhao & Jianliang Wang, 2016. "Integrated Evaluation Method-Based Technical and Economic Factors for International Oil Exploration Projects," Sustainability, MDPI, vol. 8(2), pages 1-19, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shiller, Robert J. & Huston McCulloch, J., 1990. "The term structure of interest rates," Handbook of Monetary Economics, in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 1, chapter 13, pages 627-722, Elsevier.
    2. Smith, James L., 2018. "Estimating the future supply of shale oil: A Bakken case study," Energy Economics, Elsevier, vol. 69(C), pages 395-403.
    3. Smith, James L., 2014. "A parsimonious model of tax avoidance and distortions in petroleum exploration and development," Energy Economics, Elsevier, vol. 43(C), pages 140-157.
    4. Kaiser, Mark J. & Mesyanzhinov, Dmitry V. & Pulsipher, Allan G., 2004. "Long-term infrastructure forecasting in the Gulf of Mexico: a decision- and resource-based approach," Energy Policy, Elsevier, vol. 32(10), pages 1209-1224, July.
    5. Lynch, Michael C., 2002. "Forecasting oil supply: theory and practice," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(2), pages 373-389.
    6. Lucas Fievet & Zal`an Forr`o & Peter Cauwels & Didier Sornette, 2014. "Forecasting future oil production in Norway and the UK: a general improved methodology," Papers 1407.3652, arXiv.org.
    7. Fiévet, L. & Forró, Z. & Cauwels, P. & Sornette, D., 2015. "A general improved methodology to forecasting future oil production: Application to the UK and Norway," Energy, Elsevier, vol. 79(C), pages 288-297.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:27:y:1999:i:13:p:801-810. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.