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Worldwide cheap and heavy oil productions: A long-term energy model

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  • Guseo, Renato

Abstract

Crude oil, natural gas liquids, heavy oils, deepwater oils, and polar oils are non-renewable energy resources with increasing extraction costs. Two major definitions emerge: regular or 'cheap' oil and non-conventional or 'heavy' oil. Peaking time in conventional oil production has been a recent focus of debate. For two decades, non-conventional oils have been mixed with regular crude oil. Peaking time estimation and the rate at which production may be expected to decline, following the peak, are more difficult to determine. We propose a two-wave model for world oil production pattern and forecasting, based on the diffusion of innovation theories: a sequential multi-Bass model. Historical well-known shocks are confirmed, and new peaking times for crude oil and mixed oil are determined with corresponding depletion rates. In the final section, possible ties between the dynamics of oil extraction and refining capacities are discussed as a predictive symptom of an imminent mixed oil peak in 2016.

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  • Guseo, Renato, 2011. "Worldwide cheap and heavy oil productions: A long-term energy model," Energy Policy, Elsevier, vol. 39(9), pages 5572-5577, September.
    • Handle: RePEc:eee:enepol:v:39:y:2011:i:9:p:5572-5577
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    1. Frank M. Bass & Trichy V. Krishnan & Dipak C. Jain, 1994. "Why the Bass Model Fits without Decision Variables," Marketing Science, INFORMS, vol. 13(3), pages 203-223.
    2. Kaufmann, Robert K., 1991. "Oil production in the lower 48 states : Reconciling curve fitting and econometric models," Resources and Energy, Elsevier, vol. 13(1), pages 111-127, April.
    3. Maggio, G. & Cacciola, G., 2009. "A variant of the Hubbert curve for world oil production forecasts," Energy Policy, Elsevier, vol. 37(11), pages 4761-4770, November.
    4. Renato Guseo & Alessandra Valle, 2005. "Oil and gas depletion: Diffusion models and forecasting under strategic intervention," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 14(3), pages 375-387, December.
    5. Greene, David L. & Hopson, Janet L. & Li, Jia, 2006. "Have we run out of oil yet? Oil peaking analysis from an optimist's perspective," Energy Policy, Elsevier, vol. 34(5), pages 515-531, March.
    6. Pesaran, M. Hashem & Samiei, Hossein, 1995. "Forecasting ultimate resource recovery," International Journal of Forecasting, Elsevier, vol. 11(4), pages 543-555, December.
    7. Cutler J. Cleveland & Robert K. Kaufmann, 1991. "Forecasting Ultimate Oil Recovery and Its Rate of Production: Incorporating Economic Forces into the Models of M. King Hubbert," The Energy Journal, , vol. 12(2), pages 17-46, April.
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    Cited by:

    1. Furlan, Claudia & Mortarino, Cinzia, 2018. "Forecasting the impact of renewable energies in competition with non-renewable sources," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1879-1886.
    2. Guseo, Renato & Mortarino, Cinzia & Darda, Md Abud, 2015. "Homogeneous and heterogeneous diffusion models: Algerian natural gas production," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 366-378.
    3. Furlan, Claudia & Guidolin, Mariangela & Guseo, Renato, 2016. "Has the Fukushima accident influenced short-term consumption in the evolution of nuclear energy? An analysis of the world and seven leading countries," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 37-49.
    4. Capellán-Pérez, Iñigo & Mediavilla, Margarita & de Castro, Carlos & Carpintero, Óscar & Miguel, Luis Javier, 2014. "Fossil fuel depletion and socio-economic scenarios: An integrated approach," Energy, Elsevier, vol. 77(C), pages 641-666.
    5. Guidolin, Mariangela & Guseo, Renato, 2016. "The German energy transition: Modeling competition and substitution between nuclear power and Renewable Energy Technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1498-1504.
    6. Mediavilla, Margarita & de Castro, Carlos & Capellán, Iñigo & Javier Miguel, Luis & Arto, Iñaki & Frechoso, Fernando, 2013. "The transition towards renewable energies: Physical limits and temporal conditions," Energy Policy, Elsevier, vol. 52(C), pages 297-311.
    7. Darda, Md Abud & Guseo, Renato & Mortarino, Cinzia, 2015. "Nonlinear production path and an alternative reserves estimate for South Asian natural gas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 654-664.
    8. Ugo Bardi, 2016. "What Future for the Anthropocene? A Biophysical Interpretation," Biophysical Economics and Resource Quality, Springer, vol. 1(1), pages 1-7, August.

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