Bibliographic record
Abstract
Progressing Cavity Pumps Progressing cavity (PC) pumps have been around too long to be a young technology, but it is still an emerging one. The history of this rapidly growing form of artificial lift is a study in how a community of users can continue to find ways to adapt a seemingly simple machine that can have a complicated relationship with a reservoir. What started as a better option for pumping cold, heavy, sandy crude in Canada has been adapted for high-volume production of heavy crude in Venezuela, for lifting medium-weight oil mixed with things that other pumps cannot handle well, and pumping water out of Australian coal seams to initiate natural gas production from the thousands of wells in the huge deposits. All-metal versions are beginning to appear in heavy oil fields, after a decade of development and testing to prove they could work at temperatures far beyond what standard PC pumps could handle. Pushing the capabilities of these pumps, which cannot reliably handle light oil, will require a new generation of elastomers. This will likely require oil and gas industry users to push chemical makers to develop elastomers with capabilities that go beyond the needs of their biggest customers, auto parts makers who use them for tires and other car components. Several companies recently have begun trying to persuade users to turn to PC pumps powered by permanent magnetic motors downhole rather than relying on rotating rods powered by sur-face units. The advocates of downhole power, which has been a small part of the business, say it can allow more effective PC pump use and reduce tubing damage caused by long rod strings, which can also come apart. Innovative new pumps are appearing, with some using the usual materials in surprising ways. “The manufacturing of PC pumps is growing and I think everybody is trying to push the envelope a lot now,” said Shane Latoski, product manager of Oil Lift Technology, which is part of Dover Corporations’ Norris Production Solutions operation. “There are some interesting things coming through.” The company is in the middle of a rapidly growing business—PC pump makers are also benefiting from the strong sales of mud motors, which are the different use of the original design. The growth of the PC pump business is an example of the value of adaptive reuse. While emerging technologies are associated with scientific breakthroughs, mature businesses can find and profit from emerging opportunities that grow out of their normal business, said Pradeep Anand, president of Seeta Resources, a business consultant who has advised companies seeking such opportunities.
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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.008 | 0.025 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.030 | 0.016 |
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".