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Record W4234730580 · doi:10.2118/2009-116

Saskatchewan's Place In the Canadian Oil Sands

2009· article· en· W4234730580 on OpenAlexaffabout
L.L. Schramm, J.W. Kramers, E.E. Isaacs

Bibliographic record

VenueCanadian International Petroleum Conference · 2009
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsAlberta EnergySaskatchewan Research Council (Canada)
Fundersnot available
KeywordsOil sandsPetroleum engineeringEnvironmental scienceGeologyMining engineeringArchaeologyGeographyAsphalt

Abstract

fetched live from OpenAlex

Abstract Canada's oil sands are well recognized internationally, with Alberta's mined and in situ oil sands reservoirs being well developed with mature commercial technologies. The next frontier in Canadian petroleum development will be the shallow in situ oil sands residing in both Saskatchewan and Alberta. Presenting opportunities and challenges that are distinct from the mining and deeper in situ reservoir situations, the shallow reservoirs will probably need to be developed with new "gamechanger" in situ technologies that will reduce and/or replace the use of steam, reduce the use of fresh water, and dramatically reduce the emissions of greenhouse gases such as CO2. Significant R&D programs are now aimed at developing and demonstrating such new technologies. Piloting new shallow in situ development technologies for Saskatchewan's oil sands deposits will enable a new source of Canadian "technology oil" and serve to test more environmentally friendly technologies that could be adapted to current commercial operations. This paper will provide a detailed description of the oil sands geology and physical properties as well as highlighting Saskatchewan's oil sands and some of the novel recovery technologies that are being developed for shallow in situ reservoirs. Introduction The world liquid petroleum (oil) resources are huge, comprising over 600 billion m3 (about 4 trillion barrels). Of this around half, about 320 billion m3, is represented by the bitumen contained in oil sands. The remainder is made up of conventional medium and light gravity crude oil. A practical basis for distinguishing among conventional light crude, heavy crude, and bitumen is given in Table 1. As the data in Table 1 show, conventional light and heavy crude oils can flow at reservoir temperatures. Athabasca bitumen, whose viscosity at reservoir temperature is over 1 million mPa.s is essentially immobile. A significant fraction of the world's conventional crude oil and most of the world's bitumen is contained in the Western Canadian Sedimentary Basin. Bitumen comprises the majority of Canada's liquid petroleum resources (see Table 2) at about 410 billion m3 (2.6 trillion barrels), of which only about 28 billion m3 are considered to be reserves, that is, economically recoverable with current technology[1]. Current daily oil (bitumen and synthetic crude) production has risen to 180,000 m3 (1.1 million barrels) which represents about 40% of crude oil produced in Canada. The bitumen production in Canada is expected to more than triple by 2030 based on a moderate growth case[2] and taking into account the current economic slowdown. In a time of the peaking of conventional oil production and an expansive growth in energy demand the search for new oil reserves has led to unconventional in situ bitumen and heavy oil resources, for which operators are moving into substantially more challenging reservoirs than ever before. Schramm and Isaacs[3] have used the term "technology oil" to describe the products derived from oil sands and heavy oil reservoirs because technology development has been the key to allow these hydrocarbons to be produced at competitive costs.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.625
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.215
Teacher spread0.203 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2009
Admission routes2
Has abstractyes

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