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Record W2915138311 · doi:10.2118/0714-0106-jpt

Technology Focus: Artificial Lift (July 2014)

2014· article· en· W2915138311 on OpenAlexaff
Shauna Noonan

Bibliographic record

VenueJournal of Petroleum Technology · 2014
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsConocoPhillips (Canada)
Fundersnot available
KeywordsArtificial liftExhibitionLift (data mining)Work (physics)Computer scienceOperations researchLibrary scienceEngineeringHistoryMechanical engineeringArchaeology

Abstract

fetched live from OpenAlex

Technology Focus The digital repository of our valuable SPE papers was first launched as the SPE eLibrary in 1997 and subsequently was updated as OnePetro in 2007. This great collection has become a valuable resource for our global industry. However, several years ago, I noticed that many of the great case studies and technological advancements related to artificial lift were being presented at industry events but not published and captured within OnePetro. I made it a personal mission to change that. Within SPE today, there are more opportunities for authors to present and publish their work related to artificial lift. For example, The Progressing Cavity Pump (PCP) Workshop was converted to a conference format, which now offers a call for papers. The SPE Digital Edition series “Getting Up to Speed” for both electrical-submersible- pump and PCP technology provided an invitation to authors who previously gave presentations only at industry events to document their work as an SPE paper in these editions and in OnePetro. The Artificial Lift Conference and Exhibition (ALCE) series in the Middle East, South America, and North America was created to bring together the regional artificial-lift experts and document their work as SPE manuscripts. Note that SPE is still working to coordinate these events so that their schedules do not conflict with one another. The ALCE North America event in 2014 focused on seeking out authors with outstanding presentations at regional events (SPE or not), as well as bodies of work that needed to be documented in OnePetro for the benefit of the global artificial-lift community. The history of artificial-lift technology and the story of its outstanding contributors and innovators have been missing within the SPE realm; however, this is about to change. At the ALCE North America event to be held 6-8 October in Houston, two special events are taking place. The Artificial Lift Historical Exhibit and the Legends of Artificial Lift Awards will be documented and placed in SPE’s historical archives. The primary and additional papers selected for this feature, with the exception of one Offshore Technology Conference paper, were presented at international events that did not exist a decade ago. The void of artificial-lift information that existed within OnePetro is beginning to be filled and will disappear if we work collectively to seek out our peers and encourage them to publish their outstanding accomplishments and lessons learned as SPE papers.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.751

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.004
GPT teacher head0.205
Teacher spread0.200 · 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 designOther design
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

Citations0
Published2014
Admission routes1
Has abstractyes

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