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Record W2041832616 · doi:10.2118/165647-ms

Reliable HRPCP Technology for Harsh Well Conditions

2013· article· en· W2041832616 on OpenAlexaff
Christian Bratu, David Caballero, Laurent Seince

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsCanadian Society of Microbiologists
Fundersnot available
KeywordsArtificial liftScrew pumpGas liftLubricationTorqueLift (data mining)Multiphase flowPetroleum engineeringStatorDewateringRotor (electric)Flow (mathematics)Mechanical engineeringEnvironmental scienceEngineeringComputer scienceAutomotive engineeringMechanicsGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract The HRPCP technology consists in adding HR’s - hydraulic regulators - to traditional PCP; the HR’s are distributed throughout the pump and their design corresponds to coupled pump - well requirements (1). Consequently, the HRPCP technology is capable of controlling the pump behavior in liquid and multiphase flows: uniform distribution of pressures, reduction of temperatures, handling gas compression without heat build-up and lubrication of rotor - stator interference contact. Therefore, the ultimate goal of the HRPCP technology is the significant improvement of the pump run life & production performance in liquid and multiphase flows. The HRPCP technology targets include reactivation of wells considered uneconomic in mature fields, production from complex heavy/waxy/gassy oil wells, efficiency increase of gas well dewatering, enhancement of inefficient gas lift systems, eliminating the need for gas anchors / separators. The paper focusses first on the HRPCP bench tests dedicated to HR’s optimal design: reduction of frictional torque in liquid flow, pump behavior in stationary and transient multiphase flow, energy savings. Finally, the paper summarizes the observations made on the fields (Venezuela, Argentina): the run life of HRPCP is up to 10 times that of traditional PCP (2, 3). In fact, the optimal design of HRPCP is confirmed by the pilot case stories on field (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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.722
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.005
GPT teacher head0.208
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.

Study designNot applicable
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
Published2013
Admission routes1
Has abstractyes

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