4.7 Article

Evaluation of Asphaltene Stability of a Wide Range of Mexican Crude Oils

Journal

ENERGY & FUELS
Volume 35, Issue 1, Pages 408-418

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.energyfuels.0c03301

Keywords

-

Ask authors/readers for more resources

Appropriate prediction of asphaltene stability is crucial for anticipating operational problems in petroleum production, processing, transportation, and storage. This study evaluated the stability of crude oils using various methods and found discrepancies in the results, highlighting the importance of using multiple methodologies for accurate prediction.
Appropriate prediction of asphaltene stability can anticipate operational problems such as plugging of lines and process equipment (pumps, heat exchangers, separation tanks, among others), thus assuring the production, processing, transportation, and storage of petroleum. In the present study, the physical and chemical properties of a series of Mexican crude oils with American Petroleum Institute (API) gravity ranging from 10 to 52 were determined. Based on saturate, aromatic, resin and asphaltene (SARA) analysis, the following indexes were calculated: colloidal instability index, colloidal stability index, Stankiewicz stability criterion, stability cross plot, and oil compatibility model. The stability of crude oils was also evaluated by means of experimental techniques such as spot test, S-value, and static stability test column. No uniform results were obtained when determining the stability of crude oils with different methodologies. Due to the discrepancies disclosed, it is recommended to evaluate stability by various methodologies to adequately predict the stability of asphaltenes in crude oils. Hence, the stability of asphaltenes in a given crude oil may be ascribed based on the average result. However, from a practical point of view, pertinent cautions on the handling of samples must be observed if at least one of the methods classifies the sample as unstable or metastable.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Energy & Fuels

Catalyst Stacking Technology as a Viable Solution to Ultralow Sulfur Diesel Production

Emilio Leal, Pablo Torres-Mancera, Jorge Ancheyta

Summary: This article discusses a technology of placing different catalysts in multibed configurations to produce a synergistic effect and proposes it as a viable low-investment solution for ultralow sulfur diesel (ULSD) production. However, the synergistic effect between the catalysts is not fully understood yet, and designing the best stacking system is challenging. Therefore, further research on the influences of variables and the development of new mathematical models are necessary.

ENERGY & FUELS (2022)

Article Energy & Fuels

Selection of heavy oil upgrading technologies by proper estimation of petroleum prices

Jose A. D. Munoz, Jorge Ancheyta, Luis C. Castaneda

Summary: The study focused on the technological selection for upgrading heavy crude oils to produce light oil, where the price differential between feed and product proved to be a key factor. Four methodologies for calculating crude oil prices were compared, with the yield-based method showing the most accuracy. Economic analysis also indicated higher profits when processing heavier crude oil.

PETROLEUM SCIENCE AND TECHNOLOGY (2022)

Article Engineering, Chemical

Modeling of the Deasphalting Process by a Residue-Solvent Equilibrium Calculation Using Continuous Thermodynamics

J. Garcia Cardenas, J. Ancheyta

Summary: The deasphalting process was modeled and predicted using continuous thermodynamics and the perturbed hard chain theory equation of state. The results showed that the model can accurately predict the product yields, quality, and distribution in the deasphalting process.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2022)

Article Energy & Fuels

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

Guillermo Felix, Juan J. Rios, Alexis Tirado, Mikhail A. Varfolomeev, Chengdong Yuan, Jorge Ancheyta

Summary: 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. It is demonstrated that the reported values of kinetic parameters can be optimized to reduce the average absolute error. Simulations with the Monte Carlo algorithm help find the best initial guess for further optimization of parameters.

ENERGY & FUELS (2022)

Article Energy & Fuels

In Situ Upgrading of Heavy Crude Oil: Comparative Study of the Performance of Cu-, Fe-, Ni-, or Zr-Containing Water-Based Catalysts

P. Schacht-Hernandez, R. Quintana-Solorzano, O. Morelos-Santos, I Soto-Escalante, J. Ancheyta

Summary: The availability of conventional light or medium crude oils is decreasing worldwide, leading refineries to face the challenge of processing more heavy crude oils. This research explores the use of liquid catalysts to upgrade heavy crude oil in situ, resulting in improved properties.

ENERGY & FUELS (2022)

Article Energy & Fuels

Reactor Model for Heavy Oil Hydrotreating with Catalyst Deactivation Based on Vanadium and Coke Deposition

Javier Jurado, Jorge Ancheyta

Summary: A quasi-dynamic one-dimensional pseudohomogeneous trickle-bed reactor model for hydrotreating of heavy vacuum residue was developed, which takes into account catalyst deactivation, impurities concentration in heavy oil, and coke and vanadium deposition. The model successfully predicted the typical S shape profiles during time-on-stream.

ENERGY & FUELS (2022)

Article Engineering, Chemical

Characteristic curves correlations to predict SARA composition and gas yields during heavy crude oil non-catalytic aquathermolysis

Guillermo Felix, Alexis Tirado, Mikhail A. Varfolomeev, Chengdong Yuan, Jorge Ancheyta

Summary: Characteristic curve equations were used to calculate the product distribution of Ashal'cha heavy crude oil during non-catalytic aquathermolysis at different reaction times and temperatures. The developed equations accurately estimated the experimental data, and it was found that the unstable primary and secondary products equation performed better in predicting the aromatics and saturate fractions.

CHEMICAL ENGINEERING COMMUNICATIONS (2022)

Article Energy & Fuels

Molecular Asphaltene Transformations during Aquathermolysis of Heavy Crude Oil: Analysis of the Literature Data

Alexis Tirado, Guillermo Felix, Ameen A. Al-Muntaser, Mohamed Said Chemam, Chengdong Yuan, Mikhail A. Varfolomeev, Jorge Ancheyta

Summary: Despite significant efforts to understand the reaction mechanism of asphaltenes during aquathermolysis reaction, knowledge about their molecular structures and reaction pathways remains limited. This work extensively reviews and discusses experimental results from different samples of asphaltenes during aquathermolysis reaction to obtain information on their elemental composition, functional groups, and average structural parameters. The findings provide theoretical support for future research on the aquathermolysis of heavy crude oils with various catalysts and highlight the impact of operating conditions, catalyst type, and asphaltene structure on the changes in asphaltenes.

ENERGY & FUELS (2023)

Article Engineering, Chemical

Modeling the Kinetics of Heavy Crude Oil Cu-Oleate Aquathermolysis

Alexis Tirado, Guillermo Felix, Muneer A. Suwaid, Ameen A. Al-Muntaser, Dmitry A. Antonenko, Igor S. Afanasiev, Mikhail A. Varfolomeev, Chengdong Yuan, Jorge Ancheyta

Summary: Oil-soluble catalysts have been found to improve the flow properties of heavy crude oil during steam injection processes. In order to better understand the effects and reaction mechanisms of these catalysts, further studies using complex kinetic models are needed. This study investigated the catalytic effect of copper oleate on aquathermolysis of heavy crude oil, and developed a kinetic model to predict the yield of different fractions and gases. The results showed that copper oleate reduces polyaddition reactions of heavy fractions and favors the production of lighter compounds.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2023)

Article Energy & Fuels

Simplified regular solution model for asphaltenes precipitation in crude oil blends

Aaron Macias, Esau A. Hernandez, Vicente Samano, Jorge Ancheyta

Summary: The regular solution model with HBT molar volume correlation is used to predict asphaltene precipitation in crude oils and blends. The presence of other compounds greatly affects asphaltene precipitation under the same temperature and pressure conditions. The proposed model accurately predicts asphaltene precipitation using average properties and assumptions.

PETROLEUM SCIENCE AND TECHNOLOGY (2023)

Article Energy & Fuels

Kinetic Models of Deep Hydrotreating Reactions to Produce Ultralow Sulfur Diesel

Juan J. Rios, Emilio Leal, Fernando Trejo, Jorge Ancheyta

Summary: Due to high emissions of polluting gases from fossil fuel combustion, organizations and governments have established standards for cleaner fuels. This study examines the kinetic models of hydrotreating reactions for producing ultralow sulfur diesel. It includes discussions on reaction systems, catalysts, operating conditions, and proposes a set of kinetic models for simulation.

ENERGY & FUELS (2023)

Article Engineering, Chemical

Detailed Characterization of Refractory Refinery Streams for Use as Feedstocks for Diesel Production in Low-Pressure Hydrotreating Units

Fernando Alonso, Francisco Morales-Leal, Jorge Ancheyta, Pablo Torres-Mancera

Summary: This study deeply characterized two refinery streams and discussed their potential use and influencing factors in hydrotreatment.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2023)

Article Engineering, Chemical

Maximizing Data Analysis from Batch Reactor Experiments: Application to Catalytic Hydrotreating of Petroleum Distillates

Emilio Leal, Francisco Morales-Leal, Jorge Ancheyta, Fernando Alonso, Pablo Torres-Mancera

Summary: A detailed methodology for conducting experiments in batch reactors is proposed. Hydrodesulfurization of petroleum distillates is used as an example. The reaction parameters are calculated and a data reconciliation method is described. The experimental procedure is shown to be adequately performed with good agreement between reaction parameters.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2023)

Article Engineering, Chemical

Experimental Considerations for Proper Development of Aquathermolysis Tests in Batch Reactor Systems

Alexis Tirado, Guillermo Felix, Ameen A. Al-Muntaser, Chengdong Yuan, Mikhail A. Varfolomeev, Jorge Ancheyta

Summary: Steam-based technologies, particularly catalytic aquathermolysis, show great promise for increasing the recovery factor of heavy crude oil. This process requires proper experimentation to evaluate operational conditions, catalyst performance, and reaction kinetics. This study provides a comprehensive review of experimental results on diverse upgraded oil samples, discussing the effects of various reaction parameters and highlighting behaviors in gas production and viscosity reduction for future research and development. The reactivity of chemical compounds involved plays a significant role in crude oil upgrading, necessitating detailed analysis for experimental development and scale-up.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2023)

No Data Available