MétaCan
Menu
Back to cohort
Record W2074207809 · doi:10.2118/0612-0058-jpt

A Tricky Tradeoff - Can Adding a Little Solvent Yield a Lot More Heavy Crude?

2012· article· en· W2074207809 on OpenAlex
Stephen Rassenfoss

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Petroleum Technology · 2012
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsBarrel (horology)Steam injectionPetroleumYield (engineering)Waste managementEnvironmental scienceWork (physics)Fuel oilPetroleum engineeringEngineeringProcess engineeringChemistryMechanical engineeringMaterials science

Abstract

fetched live from OpenAlex

Years of small-scale testing have shown that adding a small amount of a light hydrocarbon to steam can yield large gains in heavy-oil output and reduce emissions; but, no one has proven it can be done on the large scale common in the Canadian oil sands. That could change soon. Two innovative Canadian operators—Imperial Oil and Cenovus Energy—are working on commercial steam-injection installations. They have spent more than a decade developing and testing ways to add solvents such as butane to steam to increase production and ultimate recoveries. If it works on a large scale, it will allow heavy-oil producers to use significantly less steam per barrel to coax out thick crude. Lowering the steam/oil ratio (SOR)—which represents the barrels of water used to produce an added barrel of oil—could offer a profitable path to reduced emissions. “If you can improve the thermal efficiency—the steam/oil ratio—emissions go down. Also, costs go down,” said Ian Gates, an associate professor at the University of Calgary, whose research includes solvents. “It all goes in the same direction. You make more money with lower greenhouse emissions.” Based on laboratory work and field tests, the combination of heat and solvents can increase production—30% or more is often cited—though some have done better and some worse. Cenovus’ pilot program, which was run at two locations, showed it could reduce its steam/oil ratio by 25%, said Subodh Gupta, chief of technology development for the company spun off by Encana. He also said the greater efficiency could allow wide well spacing. Imperial said it sees a significant increase in the amount of oil it will ultimately be able to produce. The operator, which improved its estimated recoveries from 20% to 40% at its Cold Lake field by improved reservoir analysis, steam injection, and drilling techniques, said that solvent use plus continued improvements in those three areas “have the potential to increase recovery to more than 60%.” Despite the potential, many working on the technology express concerns about the cost of the solvent required. “There is no doubt it works, but solvent is quite expensive,” said Neil Edmunds, vice president for enhanced oil recovery at Laricina Energy, who has long been involved in solvent research and simulation work. For companies considering the idea, he said, the cost of the solvent can be “sobering.”

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score0.683

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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.267
Teacher spread0.247 · 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