Biodegradable Alternatives for Scale Control in Oilfield Applications
Bibliographic record
Abstract
Abstract Environmental legislation has significantly reduced the variety of scale inhibitor chemistries that can be used to prevent inorganic scale formation during the production and separation of crude oil from produced water. Poor ecotoxicity has severely impeded the use of phosphonates, while many polymers, the other traditional approach to scale control, fail to meet minimum biodegradation requirements. We have developed biopolymers based on synthetic/natural polymer hybrids that show enhanced biodegradation, are environmentally benign and are much less reliant on non-renewable monomer feedstocks than classical polymer scale inhibitors. As well as being more sustainable, this novel technology allows the inclusion of a broad range of functional groups that can be designed to meet the varying technical demands of oilfield scale inhibitor application environments. Various hybrid polymers have shown excellent performance under standard oilfield performance testing conditions versus a range of currently used chemistries. Some distinct benefits of hybrid technologies pertaining to oilfield scale control will also be expanded upon.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".