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Record W2335424084 · doi:10.2118/0708-0070-jpt

First Metal-PCP SAGD Field Test Shows Promise for Heavy-Oil Hot Production

2008· article· en· W2335424084 on OpenAlexaboutno aff
Karen Bybee

Bibliographic record

VenueJournal of Petroleum Technology · 2008
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsArtificial liftPetroleum engineeringSteam-assisted gravity drainageOil productionOil fieldLift (data mining)Gas liftSteam injectionEnvironmental scienceOil sandsMechanical engineeringEngineeringComputer scienceArchaeology

Abstract

fetched live from OpenAlex

This article, written by Assistant Technology Editor Karen Bybee, contains highlights of paper SPE 110479," World's First Metal-PCP SAGD Field Test Shows Promising Artificial-Lift Technology for Heavy-Oil Hot Production: Joslyn Field Case" by Jean-Louis Beauquin, SPE, and Felix Ndinemenu, SPE, Total E&P; Gilles Chalier, Total E&P Canada; Lionel Lemay and Laurent Seince, PCM; and Alex Damnjanovic, KUDU Industries, originally prepared for the 2007 SPE Annual Technical Conference and Exhibition, Anaheim, California, 11–14 November. The paper has not been peer reviewed. Finding a reliable artificial-lift (AL) pumping system for heavy-oil thermal recovery has been a challenge, mainly because of the high operating temperatures (greater than 150ºC). Available options such as rod pumps and electrical submersible pumps (ESPs), which are well proved in the industry, are not well suited for thermal production. While rod pumps offer high-temperature service, they are limited in the flow rate they can deliver. ESPs can handle high volumes of low-viscosity fluids but are still limited in terms of maximum operating temperature. Metal progressing-cavity-pump (PCP) technology has been developed to meet the high-temperature requirement of steam-assisted gravity drainage (SAGD) and other thermal-recovery processes. Introduction Recovery of the world's large reserves of extraheavy oil (found mainly in the oil sands of Canada and Venezuela) by thermal processes has been increasing because of the high price of oil. Key to this recovery process is AL, which is required because of the very high density and viscosity of the crude and the relatively low reservoir pressures. Although gas lift remains an AL option when high pressure gas is available, pumping techniques are more popular because of their relatively higher efficiency and ability to generate more pressure at the surface for delivery to the treating plant. However, the main challenge with hot pumping is the high temperatures often required [as much as 260°C for SAGD and 350°C for cyclic steam stimulation (CSS)]. The dominant pumping technologies available are beam/jack pumps, ESPs, and elastomer PCPs. All these pumps have their peculiar limitations for hot production. While beam pumps offer high-temperature service, they are limited in the flow rate they can deliver. ESPs can handle high volumes of low-viscosity fluids, but they are still limited in terms of maximum operating temperature. For PCPs, the limitation is operating temperature of the elastomer (maximum 150°C).

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.220
Teacher spread0.208 · 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 designBench or experimental
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

Citations6
Published2008
Admission routes1
Has abstractyes

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