Volatile-Phosphorus-Free Gellants for Hydrocarbon-Based Fracturing Systems
Bibliographic record
Abstract
Summary In recent years, a number of refineries in western Canada and the United States have discovered the formation of scale or sludge in their distillation towers. The buildup of large amounts of sludge lowers the efficiency of refineries to the point where it must be removed. The process of removing sludge requires that the refinery shut down at a cost of USD millions in lost production to the refinery operators. Analysis of the sludge has revealed that it has an extraordinarily high phosphorus content (8 to 12%). Further investigation into the origin of the phosphorus in the sludge raised concerns that chemicals used in hydrocarbon-fracturing fluids, specifically volatile-phosphorus-containing hydrocarbon gellants, are responsible for the refinery fouling. This paper will discuss how the origin of the volatile-phosphorus in the hydrocarbon gellants has been determined and how a viable, ultralow volatile phosphorus solution for hydrocarbon gelling has been developed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.001 | 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 teacher head, 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".