Bibliographic record
Abstract
Abstract Refineries are processing bottoms and heavy oils to lighter products using either thermal cracking base technologies such as visbreaking, delayed and fluid coking, or solid catalyst base low to moderate hydroconversion technologies using fixed bed and ebullated bed reactors. Unconverted resid from ebullated bed reactor has also been fed to delayed coker to increase the distillates yield. These processes perform well for what they are designed to do. With the new fuel specifications of 10–50 parts per million sulfur restriction in transportation fuels, distillates produced from low conversion fixed bed and ebullated bed hydroprocessing will not meet the required ultra low sulfur content without further hydrotreating. For distillates produced from delayed and fluid coking, even more severe secondary processing is needed to reduce the aromatic and sulfur contents in order to meet the new fuel regulations. In light of the current high crude price, general decline in crude quality, and regulations mandated high quality, ultra low sulfur specifications for the transportation fuels, significant advantages exist for flexible technology that can overcome limitations of current bottoms of the barrel upgrading processes. The Alberta Government formed the Alberta Oil Sands Technology Research Authority (AOSTRA) in the 1970's to fund research and development of technologies to improve the economics of producing synthetic crude oil from its vast reserves of heavy oils and oil sands. These research programs provided new insight on the molecular structure of heavy oil, the chemistry of the various non-volatile fractions, especially on their tendency to form carbonaceous solids (coke) during upgrading. In the mid-1990's researchers at the Alberta Research Council (ARC) and AOSTRA developed a new upgrading technology called (HC)3TM, a hydro-conversion process that is designed to efficiently convert bottoms and residua rich in metals and asphaltenes to lighter products. In 2001, Headwaters Heavy Oil, Inc. (HHO), obtained a worldwide exclusive license from the Alberta Science and Research Authority (ASRA) to commercialize and market the (HC)3TM hydrocracking technology. The This paper describes the (HC)3TM technology, its applications to improve operations at existing supported catalyst hydroprocessing facilities and as a stand alone hydrocracker.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.024 | 0.007 |
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".