SARA-based kinetic model for non-catalytic aquathermolysis of heavy crude oil

Félix, Guillermo; Tirado, Alexis; Al‐Muntaser, Ameen A.; Kwofie, Michael; Varfolomeev, Mikhail A.; Yuan, Chengdong; Ancheyta, Jorge

doi:10.1016/j.petrol.2022.110845

Cited by 35 publications

(34 citation statements)

References 19 publications

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“…Nevertheless, this latter method does not always allow for converging to the optimal minimum, and hence, other techniques are required, such as random algorithms, among which the most used one is the Monte Carlo algorithm. [2][3][4][5]7,9,10 The nonlinear optimization is generally carried out by minimizing an OF based on the difference between the experimental and calculated data, the most used being the sum of the squared errors (SSE, eq 1). Nonetheless, this is not the only OF that can be used.…”

Section: Introductionmentioning

confidence: 99%

“…Other OFs are: an SSE with a weighting factor (OFW, eq 2), absolute difference between calculated and experimental information (OFA, eq 3), an SSE taking into account the correlation coefficient (OFC, eq 4), and the average absolute errors (AAE, eq 5). 2,8,11−13 Some authors 5,8,14 have used the AAE in the nonlinear optimization because it reports more balanced weighting to all variables that need to be predicted, and the difference in the order of magnitude is substantially reduced, showing better fit than the SSE.…”

Section: Introductionmentioning

confidence: 99%

“…The values of the model parameters must be estimated from data obtained in specially designed experiments. The estimation of kinetic parameters can be performed by linear or nonlinear regression, the latter being the most common approach. − …”

Section: Introductionmentioning

confidence: 99%

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Monte Carlo and Sensitivity Analysis Methods for Kinetic Parameters Optimization: Application to Heavy Oil Slurry-Phase Hydrocracking

et al. 2022

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A methodology to estimate kinetic parameters using the Monte Carlo algorithm and sensitivity analysis is described. The approach is applied to the experimental data reported in the literature for slurry-phase hydrocracking of heavy oil with ionic liquids. All experiments were carried out in a batch reactor at a reaction temperature of 430 °C, H 2 pressure of 12.3 MPa, and reaction times of 0.5−6 h. It is demonstrated that the reported values of kinetic parameters can be optimized so that the average absolute error is substantially reduced from 21.73 to 7.93%. Simulations with the Monte Carlo algorithm with various initial values of parameters help find the best initial guess for further optimization of parameters. The prediction of product yields was improved using the average absolute error as objective function since it was distributed equally for all products, being coke the lump with greater error reduction (from 57.39 to 7.60%). The sensitivity and statistical analyses performed on the optimized reaction rate coefficients confirmed that the obtained results are the optimal values that minimize the error between calculated and experimental data. The lowest value of average absolute error (7.93%) determined by sensitivity analysis was found for the optimized values; moreover, the slope and intercept of the parity plot are almost 1 and 0, respectively.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Monte Carlo and Sensitivity Analysis Methods for Kinetic Parameters Optimization: Application to Heavy Oil Slurry-Phase Hydrocracking

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“…The released gases from the reaction are vital for the decomposition process; the hydrogen that is released from water reacts with oil through a hydrogen-donating reaction, resulting in viscosity reduction. Kinetic studies on the catalytic aquathermolysis of heavy crude oil are very useful for better understanding the activation energy and reaction mechanisms of the catalytic aquathermolytic process [ 22 , 23 ]. G. Felix et al reported that the reaction pathways take place in series rather than in parallel under the studied conditions [ 22 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

“…Kinetic studies on the catalytic aquathermolysis of heavy crude oil are very useful for better understanding the activation energy and reaction mechanisms of the catalytic aquathermolytic process [ 22 , 23 ]. G. Felix et al reported that the reaction pathways take place in series rather than in parallel under the studied conditions [ 22 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

Laboratory Experiments on the In Situ Upgrading of Heavy Crude Oil Using Catalytic Aquathermolysis by Acidic Ionic Liquid

2022

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Heavy and extra heavy oil exploitation has attracted attention in the last few years because of the decline in the production of conventional crude oil. The high viscosity of heavy crude oil is the main challenge that obstructs its extraction. Consequently, catalytic aquathermolysis may be an effective solution to upgrade heavy crude oil to decrease its viscosity in reservoir conditions. In this regard, a series of acidic ionic liquids, 1-butyl-1H-imidazol-3-ium 4-dodecylbenzenesulfonate (IL-4), 1-decyl-1H-imidazol-3-ium 4-dodecylbenzenesulfonate (IL-10), and 1-hexadecyl-1H-imidazol-3-ium 4-dodecylbenzenesulfonate (IL-16), were utilized in the aquathermolysis of heavy crude oil. Of each IL, 0.09 wt % reduced the viscosity of the crude oil by 89%, 93.7%, and 94.3%, respectively, after the addition of 30% water at 175 °C. ILs with alkyl chains equal to 10 carbon atoms or more displayed greater activity in viscosity reduction than that of ILs with alkyl chains lower than 10 carbon atoms. The molecular weight and asphaltene content of the crude oil were decreased after catalytic aquathermolysis. The compositional analysis of the crude oil before and after catalytic aquathermolysis showed that the molar percentage of lighter molecules from tridecanes to isosanes was increased by 26–45%, while heavier molecules such as heptatriacontanes, octatriacontanes, nonatriacontanes, and tetracontanes disappeared. The rheological behavior of the crude oil before and after the catalytic aquathermolytic process was studied, and the viscosity of the crude oil sample was reduced strongly from 678, 29.7, and 23.4 cp to 71.8, 16.9, and 2.7 cp at 25, 50, and 75 °C, respectively. The used ILs upgraded the heavy crude oil at a relatively low temperature.

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