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Record W2014174302 · doi:10.2118/04-10-tn2

Does Nuclear Energy Have a Role in the Development of Canada's Oil Sands?

2004· article· en· W2014174302 on OpenAlexaffabout
R.B. Dunbar, Thomas Sloan

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2004
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsCanadian Energy Research InstituteCanadian Wood Council
Fundersnot available
KeywordsSteam-assisted gravity drainageCapital costOil sandsNatural gasPetroleumWaste managementEngineeringCash flowUnit costEnvironmental scienceAsphaltPetroleum engineeringBusinessFinanceGeology

Abstract

fetched live from OpenAlex

Abstract The Canadian Energy Research Institute (CERI) completed a study for Atomic Energy of Canada Limited (AECL) that compares the economics of a modified ACR-700 Advanced ™ CANDU Reactor with the economics of a natural gas-fired facility to supply steam to a hypothetical Steam Assisted Gravity Drainage (SAGD) project located in northeastern Alberta. The results were initially presented at the Petroleum Society's Canadian International Petroleum Conference 2003, Calgary, Alberta, Canada, June 10 - 12, 2003. The comparison was made by using discounted cash-flow methodology to estimate the levelized unit cost of steam that could be supplied to the SAGD project from either a nuclear or a gas-fired facility. The unit cost of steam was determined by treating the steam supply facility as a standalone business; it would ensure that all costs are recovered including capital costs, operating costs, fuel costs, and a return on investment. The study indicated that steam supply from an ACR-700 nuclear facility is economically competitive with steam supply from a gas-fired facility. An examination of key variables indicated that the cost of steam from the nuclear facility is very sensitive to the capital cost of the facility, while the cost of steam from the gas-fired facility is very sensitive to the price of natural gas and possible Kyoto Protocol compliance costs. Introduction The Alberta Energy and Utilities Board (EUB) estimated that Alberta's oil sands deposits contain 258.9 109m3 of initial crude bitumen in-place and that over 10% of the initial crude bitumen in-place (28.39 109m3) is recoverable using either surface mining (5.59 109m3) or in situ recovery (22.80 109m3) techniques(1). At year-end 2003, only 2.4% (0.67 109m3) of the initial established reserves had been produced. The EUB reported that, in 2003, Alberta produced 153.2 103m3/d of crude bitumen, with surface mining accounting for 4% and in situ recovery for 36%. In the same year, non-upgraded bitumen and synthetic crude oil accounted for 53% of Alberta's total crude oil and equivalent production. The EUB reported that it expected total mined bitumen production to increase from 97.7 103m3/d in 2003 to 226 103m3/d by 2013, and in situ crude bitumen production to increase from 55.5 103m3/d in 2003 to 139 103m3/d by 2013. Total bitumen production in 2013, 365 103m3/d, would represent a 2.4 fold increase from 2003. Based on the configuration of currently operating projects, it is estimated that achieving this production level could require approximately 60 106m3/d of natural gas in 2013, a significant quantity relative to Alberta's remaining established reserves of 1,087.6 109m3 at yearend 2003 and total production of 140.6 109m3 that year (Reserve Production Ratio of 7.7 years). Using nuclear energy to generate steam would reduce the oil sands industry's reliance on limited natural gas resources, reduce its exposure to volatile natural gas prices, and reduce its greenhouse gas (GHG) emissions. The CERI study updates work carried out over the last two decades regarding the possible application of nuclear technology for oil sands development(2, 3).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.393

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.179
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2004
Admission routes2
Has abstractyes

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