Crack Los Sims 3 Hacia El Futuro [VERIFIED]
Crack Los Sims 3 Hacia El Futuro [VERIFIED]
Crack Los Sims 3 Hacia El Futuro
for each variable, the model suggests the best determination with the method chosen. the results of the mathematical correlation carried out have been validated using three groups of feedstocks and two catalysts. these are classified using a data-mining method called “unsupervised learning” called “k-means” in order to determine the characteristics that are common to each category. the results obtained, especially with the data-mining method, are very interesting because they reflect, for example, the physical properties and the correlation factors in the fcc+bat format, which, in turn, allows the game to predict the behavior of a sample in the refinery and the application of the new technology in the future.
when we look at correlations between the kuop factor and crackability, we see that unrefined materials are more prone to crack than refined feedstock. the reason is the higher content of monoaromatics present in the unrefined feeds that convert more easily, thus generating less cracked products. however, in the refined feedstock, which has more diaromatics, the reaction is more complete, avoiding the formation of cracked products, and generating more distillation curve product.
the ndm method ranks the feedstock in order of increasing crackability. when it is plotted with the kuop factor, the latter tends to decrease as the ndm method increases, showing the effect that high-kuop materials have on crackability. this is also the relationship found between the kuop factor and energy needed to crack the feedstock. the ndm method is a qualitative method that identifies the feedstock based on its cracked products. this means that one feedstock has more cracked product than another, even though it has a lower kuop factor. the kuop factor is an important factor because it is related to the kinetics of aromatics saturation of the feedstock, whereas the ndm method is a qualitative method that indicates the cracking effect of a feedstock from its products.
the concept of crackability used in this work and the statistical model (physicochemical estimation correlations, crackability estimation correlations, and estimation of maximum gasoline potential) were validated with two different feedstock groups: the first group corresponds to a set of processed gasoils of historical background fccu cartagena refinery (ecopetrol s.a.
using a method and computer processing model based on the physicochemical estimation and correlation (see annex for details) of variables of a feedstock sample, the following types of catalytic cracking will be studied:
experimental runs were performed using fcc, bed-firing, and nox-free (nox catalyst). cracking tests were conducted on several feedstocks with different severities and with two catalysts (low activity catalyst (lac) and high activity catalyst (hac)) available in the fcc plant. data was collected at different productivities in order to validate the presented correlations and thus demonstrate the capability of the model to predict the behavior of the industry and their profitability in the short-medium term. the results obtained with the developed and validated model are presented in the corresponding annex.
catalytic cracking is the primary reactivity of a feedstock to the catalyst, and is quantified in the correlation of the elementary activity (kc). this correlation accounts for the amount of high reactivity molecules (harclean molecules) present in a feedstock and represents the amount of light molecules that are cracked in catalytic cracking reactions. correlation of the kcat parameter indicates that feedstocks with more and longer chains have less but longer chains and are more cracked. in the same way, the product/feedstock correlation (s/sparameters) shows how close the structures of cracked product are to the structures of the feedstock. this can be seen with some of the gasoils. the more the product structures are the closer to the feedstock they are, the higher the p parameter is. although the pcorrelation is not reliable for the heavy gasoils, the pcorrelation is interesting in the sense that it helps to know the molecular characteristics of the products because it is possible to determine the aromatic composition of the gasoil, since the heavier molecules are directly related to the aromaticity and the number of aromatic rings present in the molecule.
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