IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2014-02-12.html
   My bibliography  Save this article

Prospective Modelling of Oil Supply in Tunisia

Author

Listed:
  • Thameur Necibi

    (Faculty of Economic Sciences and Management of Tunis, Department of Quantitative, Methods. 10, Street Remada Tunis Tunisia)

Abstract

The theoretical framework which we are developing refers essentially to Hubbert model in order to determine the peak oil in Tunisia and the exploitation speed of the remaining resources, while referring to the data supplied by the Directorate General for Energy. The study focuses on the comparison between the results of the several econometric adjustment techniques (linear, non-linear techniques, linear techniques with structural change and the non-parametric methods) applied to the Tunisian oil production during the period going from 1966 to 2011. The prospective study through the econometric models has allowed us to determine the two dates scaring all energy executives, namely the peak which took place in the middle of the eighties and the finiteness of resources planned in 2028. The obtained results have shown that it remains 495 million barrels to be produced in Tunisia, bearing in mind that the data supplied by the authorities announces the figure of 420 million barrels of the remaining proved reserve in the Tunisian underground. Thereby, we have noticed a strong link between the physical models for reservoir flows and the empirical specifications based on the decline curves.

Suggested Citation

  • Thameur Necibi, 2014. "Prospective Modelling of Oil Supply in Tunisia," International Journal of Energy Economics and Policy, Econjournals, vol. 4(2), pages 220-228.
    • Handle: RePEc:eco:journ2:2014-02-12
    as

    Download full text from publisher

    File URL: http://www.econjournals.com/index.php/ijeep/article/download/698/431
    Download Restriction: no
    File URL: http://www.econjournals.com/index.php/ijeep/article/view/698/431
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Höök, Mikael & Hirsch, Robert & Aleklett, Kjell, 2009. "Giant oil field decline rates and their influence on world oil production," Energy Policy, Elsevier, vol. 37(6), pages 2262-2272, June.
    2. Smith, James L., 2012. "On the portents of peak oil (and other indicators of resource scarcity)," Energy Policy, Elsevier, vol. 44(C), pages 68-78.
    3. Patzek, Tadeusz W. & Croft, Gregory D., 2010. "A global coal production forecast with multi-Hubbert cycle analysis," Energy, Elsevier, vol. 35(8), pages 3109-3122.
    4. Brandt, Adam R., 2007. "Testing Hubbert," Energy Policy, Elsevier, vol. 35(5), pages 3074-3088, May.
    5. Bentley, R. W., 2002. "Global oil & gas depletion: an overview," Energy Policy, Elsevier, vol. 30(3), pages 189-205, February.
    6. Maslyuk, Svetlana & Smyth, Russell, 2009. "Non-linear unit root properties of crude oil production," Energy Economics, Elsevier, vol. 31(1), pages 109-118, January.
    7. Reynolds, Douglas B. & Kolodziej, Marek, 2008. "Former Soviet Union oil production and GDP decline: Granger causality and the multi-cycle Hubbert curve," Energy Economics, Elsevier, vol. 30(2), pages 271-289, March.
    Full references (including those not matched with items on IDEAS)

    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. Douglas B. Reynolds & Marek Kolodziej, 2009. "North American Natural Gas Supply Forecast: The Hubbert Method Including the Effects of Institutions," Energies, MDPI, vol. 2(2), pages 1-38, May.
    2. Wang, Jianliang & Feng, Lianyong & Zhao, Lin & Snowden, Simon & Wang, Xu, 2011. "A comparison of two typical multicyclic models used to forecast the world's conventional oil production," Energy Policy, Elsevier, vol. 39(12), pages 7616-7621.
    3. Jakobsson, Kristofer & Söderbergh, Bengt & Höök, Mikael & Aleklett, Kjell, 2009. "How reasonable are oil production scenarios from public agencies?," Energy Policy, Elsevier, vol. 37(11), pages 4809-4818, November.
    4. Lin, Boqiang & Liu, Jianghua & Yang, Yingchun, 2012. "Impact of carbon intensity and energy security constraints on China's coal import," Energy Policy, Elsevier, vol. 48(C), pages 137-147.
    5. Brandt, Adam R. & Plevin, Richard J. & Farrell, Alexander E., 2010. "Dynamics of the oil transition: Modeling capacity, depletion, and emissions," Energy, Elsevier, vol. 35(7), pages 2852-2860.
    6. Yang, Guangfei & Li, Xianneng & Wang, Jianliang & Lian, Lian & Ma, Tieju, 2015. "Modeling oil production based on symbolic regression," Energy Policy, Elsevier, vol. 82(C), pages 48-61.
    7. Semenychev, V.K. & Kurkin, E.I. & Semenychev, E.V. & Danilova, A.A., 2017. "Multimodel forecasting of non-renewable resources production," Energy, Elsevier, vol. 130(C), pages 448-460.
    8. Semenychev, Valery & Kurkin, Eugene & Semenychev, Eugene & Danilova, Anastasia, 2014. "Oscillatory components in the bell-shaped curves of the product life cycle modeling tool," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 111-123.
    9. Chavez-Rodriguez, Mauro F. & Szklo, Alexandre & de Lucena, Andre Frossard Pereira, 2015. "Analysis of past and future oil production in Peru under a Hubbert approach," Energy Policy, Elsevier, vol. 77(C), pages 140-151.
    10. Lin, Boqiang & Wang, Ting, 2012. "Forecasting natural gas supply in China: Production peak and import trends," Energy Policy, Elsevier, vol. 49(C), pages 225-233.
    11. Höök, Mikael & Tang, Xu, 2013. "Depletion of fossil fuels and anthropogenic climate change—A review," Energy Policy, Elsevier, vol. 52(C), pages 797-809.
    12. Rezny, Lukas & White, James Buchanan & Maresova, Petra, 2019. "The knowledge economy: Key to sustainable development?," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 291-300.
    13. Wang, Ting & Lin, Boqiang, 2014. "Impacts of unconventional gas development on China׳s natural gas production and import," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 546-554.
    14. Sällh, David & Höök, Mikael & Grandell, Leena & Davidsson, Simon, 2014. "Evaluation and update of Norwegian and Danish oil production forecasts and implications for Swedish oil import," Energy, Elsevier, vol. 65(C), pages 333-345.
    15. Hu, Yan & Hall, Charles A.S. & Wang, Jianliang & Feng, Lianyong & Poisson, Alexandre, 2013. "Energy Return on Investment (EROI) of China's conventional fossil fuels: Historical and future trends," Energy, Elsevier, vol. 54(C), pages 352-364.
    16. Lisa Leinert, 2012. "Does the Oil Price Adjust Optimally to Oil Field Discoveries?," CER-ETH Economics working paper series 12/169, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    17. Ali Mirchi & Saeed Hadian & Kaveh Madani & Omid M. Rouhani & Azadeh M. Rouhani, 2012. "World Energy Balance Outlook and OPEC Production Capacity: Implications for Global Oil Security," Energies, MDPI, vol. 5(8), pages 1-26, July.
    18. Reynolds, Douglas B., 2014. "World oil production trend: Comparing Hubbert multi-cycle curves," Ecological Economics, Elsevier, vol. 98(C), pages 62-71.
    19. Ronald Helms & S. E. Costanza, 2014. "Energy Inequality and Instrumental Violence," SAGE Open, , vol. 4(2), pages 21582440145, April.
    20. Northey, S. & Mohr, S. & Mudd, G.M. & Weng, Z. & Giurco, D., 2014. "Modelling future copper ore grade decline based on a detailed assessment of copper resources and mining," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 190-201.

    More about this item

    Keywords

    : Oil production; non-linear techniques; non-parametric methods; peak oil.;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

    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:eco:journ2:2014-02-12. 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.com .

    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.