Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.288 | 0.146 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".