000 01671nab a2200193 4500
005 20260520001039.0
008 260224s2008 xxu
245 0 0 _aModelling the costs of non-conventional oil: A case study of Canadian bitumen
260 _a
_b
_cnov. 2008
270 _a23/06/2011 ; 23/06/2011
300 _a12 p. ; 4205-4216
520 _aTranscripción del resumen del autor. High crude oil prices, uncertainties about the consequences of climate change and the eventual decline of conventional oil production raise the issue of alternative fuels, such as non-conventional oil and biofuels. This paper describes a simple probabilistic model of the costs of non-conventional oil, including the role of learning-by-doing in driving down costs. This forward-looking analysis quantifies the effects of both learning and production constraints on the costs of supplying bitumen, which can then be upgraded into synthetic crude oil, a substitute to conventional oil. The results show large uncertainties in the future costs of supplying bitumen from Canadian oil sands deposits, with a 90% confidence interval of $7–12 in 2030, and $6–15 in 2060 (2005 US$). The influence of each parameter on the supply costs is examined, with the minimum supply cost, the learning rate (LR), and the depletion curve exponent having the largest influence. Over time, the influence of the LR on the supply costs decreases, while the influence of the depletion curve exponent increases.
581 _a11
773 0 _tEnergy Policy
_g36
942 _cARTICULO
100 1 _aMéjean, Aurélie
_950409
100 1 _aHope, Chris
_950410
999 _c183042
_d183042