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Oil exploration and sea ice projections in the Arctic

Published online by Cambridge University Press:  08 October 2013

Øistein Harsem ,
Knut Heen ,
J.M.P. Rodrigues  and
Terje Vassdal
Øistein Harsem
Affiliation:
Norwegian College of Fishery Science, Faculty of Biosciences, Fisheries and Economics, University of Tromsø, NO-9037 Tromsø, Norway (oistein.b.harsem@uit.no)
Knut Heen
Affiliation:
Norwegian College of Fishery Science, Faculty of Biosciences, Fisheries and Economics, University of Tromsø, NO-9037 Tromsø, Norway (oistein.b.harsem@uit.no)
J.M.P. Rodrigues
Affiliation:
Department of Applied Mathematics and Theoretical Physics. University of Cambridge, DAMTP, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WA
Terje Vassdal
Affiliation:
Tromsø University Business School. BFE-fak, University of Tromsø, NO-9037 Tromsø, Norway
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Abstract

The aim of this study is to investigate how reduction in the sea ice cover may affect oil activity in the Arctic during the next 30 years. The Arctic is divided into 21 oil provinces. A multidisciplinary approach is applied drawing on both the comparative cost techniques as developed in location theory and sea ice cover projections. The comparative cost technique implies a systematic listing of cost differentials by oil provinces. The sea ice projections are based on the NCAR CCSM3 global climate model under the A1B and A2 emission scenarios. The article concludes that the north Norwegian Sea, and south and west Barents Sea will remain the most attractive areas for oil exploration in the coming 30 years. Furthermore, due to sea ice decline, the north and east Barents Sea and north and west Kara Sea will become more attractive. However, most Arctic provinces will remain high cost regions.

Type
Research Article
Information
Polar Record , Volume 51 , Issue 1 , January 2015 , pp. 91 - 106
Copyright
Copyright © Cambridge University Press 2013 

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References

ACIA (Arctic Climate Impact Assessment). 2004. Arctic climate impact assessment. Cambridge: Cambridge University Press.Google Scholar
AMAP (Arctic Monitoring and Assessment Programme) 2007. Arctic oil and gas 2007. Oslo: AMAP.Google Scholar
Arbo, P. and Hersoug, B.. 2010. Tilrettelegging for økt olje og gassvirksomhet i Nord-Norge [Planning for increased oil and gas activity in north Norway]. In: Arbo, P. and Hersoug, B. (editors). Oljevirksomhetens inntog i nord: næringsutvikling, politikk og samfunn [The entry of of oil activity in the north]. Oslo: Gyldendal akademisk: 169–194.Google Scholar
BarentsObserver. 2010. Arctic will become center of oil and gas production. URL: http://www.barentsobserver.com/arctic-will-become-center-of-oil-and-gas-production.4767636.html (accessed: 24 March 2001).Google Scholar
Budzik, P. 2009. Arctic oil and natural gas potential. Washington, DC: U.S. Energy Information Administration Office of Integrated Analysis and Forecasting Oil and Gas Division.Google Scholar
Cavalieri, D., Markus, T, and Comiso, J.. 2004, updated daily. AMSR-E/Aqua daily L3 25 km brightness temperature and sea ice concentration polar grids V002, [2003–2010]. Boulder, Colorado USA: National Snow and Ice Data Center. Digital media. URL: http://nsidc.org/data/ae_si25.html.Google Scholar
Collins, W.D., Bitz, C.M., Blackmon, M.L., Bonan, G.B., Bretherton, C.S., Carton, J.A., Chang, P., Doney, S.C., Hack, J.J., Henderson, T.B., Kiehl, J.T., Large, W.G., McKenna, D.S., Santer, B.D. and Smith, R.D.. 2006. The community climate system model version 3 (CCSM3). Journal of Climate 19: 2122–2143.Google Scholar
Cooper, W.W., Ruiz, J.P. and Sirvent, I.. 2011. Choices and use of DEA weights. In: Cooper, W.W., Seiford, L.M and Zhu, J. (editors). Handbook on data envelopment analysis. New York: Springer: 93–126.Google Scholar
Estall, R.C. and Buchanan, R.O.. 1968. Industrial activity and economic geography. London: Hutchinson University Library.Google Scholar
Gautier, D.L., Bird, K.J., Charpentier, R.R., Grantz, A., Houseknecht, D.W., Klett, T.R., Moore, T.E., Pitman, J.K., Schenk, C.J., Schuenemeyer, J.H., Sørensen, K., Tennyson, M.E., Valin, Z.C. and Wandrey, C.J.. 2009. Assessment of undiscovered oil and gas in the Arctic. Science 325: 1075–1079.Google Scholar
Hibernia Drill Report. 2008. Prepared By Hibernia Management and Development Company Limited 100 New Gower Street, Suite 1000 St. John's, NL A1C 6K9, 28 August 2008. URL: http://www.cnlopb.nl.ca/pdfs/hibdrill/hibprojectdesc.pdf (accessed 17 July 2013).Google Scholar
Holland, M.M., Bitz, C.M., and Tremblay, B.. 2006. Future abrupt reductions in the summer Arctic sea ice. Geophysics Research Letters 33, L23503, DOI:10.1029/2006GL028024.Google Scholar
Howard, R. 2009. The Arctic gold rush: the new race for tomorrow's natural resources. London, New York: Continuum.Google Scholar
IEA (International Energy Agency). 2008. World energy outlook 2008. Paris: OECD/IEA.Google Scholar
IEA (International Energy Agency). 2010. World energy outlook 2010. Paris: OECD/IEA.Google Scholar
IPCC (Intergovernmental Panel on Climate Change). 2007. Climate change 2007: the physical science basis. Cambridge: Cambridge University Press (Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change).Google Scholar
Isard, W. 1998. Methods of interregional and regional analysis. Aldershot: Ashgate.Google Scholar
Lindholt, L. and Glomsrød, S.. 2009. Future production of petroleum in the Arctic under alternative oil prices. In: Glomsrød, S. and Aslaksen, I. (editors). The economy of the north 2008. Oslo: Statistics NorwayGoogle Scholar
Markus, T. and Cavalieri, D.. 2000. An enhancement of the NASA team sea ice algorithm. IEEE Transactions on Geoscience and Remote Sensing 38: 1387–1398.Google Scholar
McCann, P. 2009. Chapter 7. Location theory. In: Rowe, J.E. (editor). Theories of local economic development: linking theory to practice. Farnham: Ashgate: 127–144.Google Scholar
Meehl, G.A., Covey, C., Delworth, T., Latif, M., McAvaney, B., Mitchell, J.F.B., Stouffer, R.J. and Taylor, K.E.. 2007. The WCRP CMIP3 multi-model dataset: a new era in climate change research. Bulletin of the American Meteorological Society 88: 1383–1394.Google Scholar
Moe, A, and Rowe, E.W.. 2009. Northern offshore oil and gas resources: policy challenges and approaches. In: Rowe, E.W. (editor): Russia and the north. Ottawa: University of Ottawa Press: 107–128.Google Scholar
National Energy Authority. 2009. Withdrawal of joint application by Sagex Petroleum and Lindir Exploration for an exploration and production license in the Dreki Area. URL: http://www.nea.is/oil-and-gas-exploration/latest-news/nr/133 (accessed: 24 March 2011).Google Scholar
Rodrigues, J. 2009. The increase of the length of the ice-free season in the Arctic. Cold Regions Science and Technology. DOI: 10.1016/j.coldregions.2009.05.006.Google Scholar
Takamura, Y. and Tone, K. 2003. A comparative site evaluation for relocating Japanese government agencies out of Tokyo. Socio-Economic Planning Sciences 37: 85–102.Google Scholar
The Economist. 2012. Oil prices. Keeping it to themselves. The Economist 31 March 2012: 69–70.Google Scholar
Thisse, J.F., Button, K.J. and Nijkamp, P.. 1996. Location theory. Cheltenham: Elgar.Google Scholar
Thompson, R.G., Singelton, F.D., Thrall, R.M. and Smith, B.A.. 1986. Comparative site evaluations for locating a high-energy physics lab in Texas. Interfaces 16 (6): 35–49.Google Scholar
Thompson, R.G., Dharmapala, P.S. and Thrall, R.M.. 1994. Sensitivity analysis of efficiency measures with applications to Kansas farming and Illinois coal mining. In: Charnes, A., Cooper, W.W., Lewin, A.Y. and Seiford, L.M. (editors). 1994. Data envelopment analysis. Theory, methodology and applications. Amsterdam: Kluwer Academic Publications: 393–422.Google Scholar
USGS (United States Geological Survey). 2008. Circum-Arctic resource appraisal: Estimates of undiscovered oil and gas north of the Arctic Circle. Washington, DC: USGS fact sheet 2008–3049. USGS.Google Scholar
Wang, M., and Overland, J.E.. 2009. A sea ice-free summer Arctic within 30 years? Geophysics Research Letters, 36, L07502, DOI:10.1029/2009GL037820.Google Scholar
World Bank Report. 2012. National doing business ranking. Washington, DC: World Bank. URL: http://www.doingbusiness.org/rankings (accessed 8 July 2013).Google Scholar
Zhang, J., and Rothrock, D.A.. 2003. Modelling global sea ice with a thickness and enthalpy distribution model in generalized curvilinear coordinates. Monthly Weather Review 131 (5): 845–861, DOI:10.1175/1520–0493(2003)131<0845:MGSIWA>2.0.CO;2.Google Scholar
Zhu, J. 2009. Quantitative models for performance evaluation and benchmarking. Boston: Kluwer Academic Publishing.Google Scholar