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Record W2015449118 · doi:10.2118/0506-0059-jpt

Development Status of a Metal Progressing Cavity Pump for Heavy-Oil and Hot-Production Wells

2006· article· en· W2015449118 on OpenAlexaboutno aff
Dennis Denney

Bibliographic record

VenueJournal of Petroleum Technology · 2006
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsArtificial liftGas liftPetroleum engineeringProgressive cavity pumpLift (data mining)Centrifugal pumpEnvironmental scienceMechanical engineeringOil productionAdaptabilityMaterials scienceEngineeringPiston pumpHydraulic pumpComputer scienceImpeller

Abstract

fetched live from OpenAlex

This article, written by Technology Editor Dennis Denney, contains highlights of paper SPE 97796, "Development Status of a Metal Progressing Cavity Pump for Heavy-Oil and Hot-Production Wells," by J.-L. Beauquin and C. Boireau, Total E&P, and L. Lemay and L. Seince, PCM Pompes, prepared for the 2005 SPE International Thermal Operations and Heavy Oil Symposium, Calgary, 1–3 November. Progressing cavity pumps (PCPs) often are used for cold heavy-oil production because of their adaptability to viscous and abrasive fluids. However, for thermal recovery, a standard PCP is not adaptable because the elastomer of the stator, the heart of the pump, cannot withstand fluid temperatures higher than 160°C. An all-metal pump, avoiding the elastomer weakness, has been developed. Validation tests began in early 2005 using extra heavy crude with temperatures up to 200°C, pressure up to 75 bar, and flow rates up to 260 m3/d at 350 rpm. The flow-rate range will be as high as 1000 m3/d. Introduction Most oil fields require some type of artificial lift at some point in time. When sufficient gas is available, gas lift may be a viable lift method because it involves relatively low-cost well interventions and tolerates numerous flow constraints, such as high gas content, gas slugging, sand production, and high temperature. When a gas lift system is inadequate, too expensive, or not possible, the artificial-lift needs challenge downhole pump capabilities and features. Some wells are able to use hydrodynamic pumps such as centrifugal, helicoaxial, or hydraulic-jet pumps because of the very high volume to be lifted. However, these pumping technologies are expensive. Most pumped wells are equipped with positive-displacement pumps, which can be adapted to changing conditions of pumped fluid. Beam- and rod-driven plunger pumps can be adapted to handle many types of fluids because they are simple, robust, and well understood. However, in heavy oil, rod failure is the most common limitation, which leads to limiting the well production, which, in turn, worsens the risk of sand settling in the pump. Also, slow closure of traveling and standing valves is a cause of poor efficiency in viscous mixtures. Pumping in horizontal or highly deviated wells also limits the plunger downstroke because it is powered by the driving part of the rod-string weight. Thermal production methods generate fluctuating inflow properties that change rod-failure causes and reduce the run life of the system. During the 1980s, rotating-rod-driven PCPs were developed for oilfield applications. PCPs are used for viscous oil, horizontal wells, and sandy production. Rod-driven PCPs are used for cold pro-duction of heavy oil and often are used in conventional mature fields as a cheaper lift method than beam pumps. The standard PCP stator is made of elastomer, which is the source of most of the pump's limitations including fluid temperature and gas and aromatics content.

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)0.005
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0080.003

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 head0.009
GPT teacher head0.231
Teacher spread0.222 · 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

Citations7
Published2006
Admission routes1
Has abstractyes

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