Исследование термолиза Сибирского усредненного мазута марки М-40
Bibliographic record
Abstract
At present in Russia oil refining essentially lags in its development behind industrialized countries. According to various estimations the depth of oil refining in the United States and Canada reaches 95%, in Europe about 90%, in Russia about 72% by 2010 data, which corresponds to the share of mazut production of about 28%. According to the Energy Strategy of Russia until 2030, the depth of oil refining should grow up to 83% by 2015, and by 2030 it should reach 89-90%. In this connection, there is an acute question of development of new processes of deep refining of residual heavy products of oil fractionation. The most developed and cheapest among the known processes of oil residues refining are thermal destructive processes such as thermal cracking, visbreaking, coking, etc. The main purpose of thermal destructive processes is the primary preparation of raw material (preparation of thermo gas oil for soot production, of vacuum gas oils for catalytic cracking and hydrocracking) and production of commercial residual products (dark boiler fuel, petroleum coke, pitch, etc.). The purpose of this paper is to estimate the thermolysis of mazut in traditional and harder modes. In this paper we investigated the process of thermolysis of the averaged mazut of M-40 brand of the West Siberian oil produced by Angersk oil-processing plant of Kemerovo Oblast at different temperatures and pressures. The analysis of the fractional composition of the initial mazut was performed. The process of liquid phase thermolysis was conducted in the heated steel sealed reactor by bubbling of the inert gas in the periodic mode. The material balance of thermolytic decomposition process of mazut under various conditions was obtained. It is shown that depending on the duration of the process, temperature and pressure it is possible to obtain a highly viscous liquid residue, pitch or petroleum coke. It is shown that increase in pressure of the thermolysis leads to increase in the yield of gaseous products and of the heavy residue (pitch or coke). The characteristics of petroleum pitch (the softening temperature, coking capacity, sulfur content) are defined. The effect of temperature and pressure of thermolysis on the fractional composition of distillate fractions was studied. It is found that increase in pressure of thermolysis leads to an increase in the yield of gasoline and light gas oil fractions by reducing the yield of heavy gas oil fractions. The total sulfur content of the products of thermolysis was determined. It is shown that the concentration of sulfur compounds occurs predominantly in the gaseous fraction and the high carbon residue.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".