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Asphaltenes create severe problems in light oils (LO) and heavy crude oils (HO) production, therefore understanding the proper asphaltenes adsorption is a demanding topic to circumvent asphaltene deposition and reconfigure asphaltene viscoelastic networks. The aim of this work is to develop several artificial intelligence (AI) agents that accurate predict the asphaltene adsorption produced by different types of nanoparticles. More than 200 experimental data points were used including different types of crude oils (light oils, heavy oils, and extra-heavy oils) combined with different types of nanoparticles including silica, alumina, and cerium, among others. This work not only presents for the first time a general AI agent that predicts the adsorption isotherms of asphaltene including different types of nanoparticles, but also deploys specialized AI agents that predict adsorption isotherms of asphaltene exclusively for silica, alumina, and cerium nanoparticles.

The main objective of this study is to evaluate the effect of the preparation of the nanofluids based on the interactions between the surfactants, nanoparticles, and brine for being applied in ultra-low interfacial tension (IFT) for an enhanced oil recovery process. Three methodologies for the addition of the salt–surfactant–nanoparticle components for the formulation of an efficient injection fluid were evaluated: order of addition (i) salts, nanoparticles, and surfactants, (ii) salts, surfactants, and then nanoparticles, (iii) surfactants, nanoparticles, and then salts. Also, the effects of the total dissolved solids and the surfactant concentration were evaluated in the interfacial tension for selecting the better formulation of the surfactant solution. Three nanoparticles of different chemical natures were studied: silica gel (SiO2), alumina (γ-Al2O3), and magnetic iron core–carbon shell nanoparticles. The nanoparticles were characterized using dynamic light scattering, zeta-potential, N2 physisorption at −196 °C, and Fourier transform infrared spectroscopy. In addition, the interactions between the surfactant, different types of nanoparticles, and brine were investigated through adsorption isotherms for the three methodologies. The nanofluids based on the different nanoparticles were evaluated through IFT measurements using the spinning drop method. The adsorbed amount of surfactant mixture on nanoparticles decreased in the order of alumina > silica gel > magnetic iron core–carbon shell nanoparticles. The minimum IFT achieved was 1 × 10–4 mN m–1 following the methodology II at a core–shell nanoparticle dosage of 100 mg L–1., Stefanía Betancur wants to acknowledge the Departamento Administrativo de Ciencia, Tecnología e Innovación de Colombia (COLCIENCIAS) for the scholarship received from call 727−2015. The authors also acknowledge Universidad Nacional de Colombia, Universidad de Granada, agreement 3010388 of 2017 with Ecopetrol S.A., agreement 064 of 2018 with COLCIENCIAS and Agencia Nacional de Hidrocarburos (ANH), Spanish Ministry of Science, Innovation and Universities, FEDER, contract number RTI2018- 099224-B-I00 and Junta de Andalucía ref RNM-172 for the support provided

An important oil production impact is the increase of environmental pollution due to discharge of water formation. This paper presents a study of oil adsorption onto hydrophobic silica, i.e., silica nanoparticles impregnated with Colombian vacuum residue (VR) at 2 and 4 wt% and onto zeolite and impregnated zeolite nanoparticles (2 and 4wt% of VR) to reduce the amount of O/W emulsion. The Langmuir and Freundlich adsorption models were used to fit the experimental information of the adsorption isotherms. Initial crude oil concentration ranges from 200 to 2000 mg/l. Oil concentration, after adsorption, was determined by using an UV-vis spectrophotometer. The highest oil removal was obtained with impregnated silica nanoparticles, yielding values of 200 mg/g, with 100% oil removal, 9 mg/g more than the value obtained by modified zeolite of 191 mg/g at the same initial concentration. Pseudo-first-order and pseudo-second-order models were used to fit the experimental data of the adsorption kinetics, with better results for the pseudo-second order model.

The presence of water in coal presents a technological challenge for its industrial use in energetic processes. Water tends to negatively affect the coal quality and its net heating value (NHV), in addition to affecting its transportation costs. Therefore, this study aims to investigate the effects of glycerol and temperature on water adsorption onto systematically modified coals. A Colombian bituminous coal sample was used as support for being modified with glycerol. The virgin coal and modified coal were characterized by nitrogen adsorption at 77 K (SBET), scanning electron microscopy (SEM), Fourier transform infrared (FT-IR) spectroscopy, elemental analysis (C–H–N elemental), and thermogravimetric analysis (TGA). The results showed that the water uptake decreased as the amount of glycerol on the coal surface increased. The optimum concentration of 8 wt% of glycerol impregnated on the coal minimized water adsorption. Over a range of water activity evaluations, this amount of glycerol (C8) reduced water adsorption by approximately 60% compared with nonimpregnated coal (C0). As expected, water uptake decreased with increasing temperature. These results are reflected in the NHV with an increase of 17% for the C8 sample compared with the other samples evaluated. The Talu and Meunier model was used to fit the experimental adsorption isotherms, and the mean square root error (MSRE%) was lower than 10%. The isosteric heat of sorption (IHS) for coal tends to decrease as the amount of adsorbed water increases. In addition, the value of IHS decreases as the concentration of glycerol increases due to the blocking of polar adsorption sites present on the coal surface, which are the main regions of low uptake of adsorbed water. Additionally, the Gibbs free energy was found to have negative values, which corroborates the spontaneous adsorption process.

To determine the problem of fines migration on packed beds and offer a possible solution for this issue, an adsorptive system of packed beds was developed for experimental simulation of fines migration and stabilization by using silica nanoparticles. The adsorbent beds were prepared with Ottawa sand and glass spheres (average radius of 0.53 mm). Three different sand beds were used in the investigation: clean sand (water- wet system), sand submitted to a damage process using an extra-heavy Colombian crude oil (oil-wet system) and sand treated with silica nanoparticles (5-15 nm). Fines suspension was prepared with alumina nanoparticles (50 nm) and distilled water. Results show that beds treated with silica nanoparticles present idealized patterns for the rupture curve, indicating that silica nanoparticles capture and retain fines, decreasing fines migration due to their adsorption capacity.

This study aims to evaluate the effect of surface acidity of fumed silica nanoparticles in adsorption and subsequent thermal cracking of Colombian asphaltenes. The acidities of the surfaces were established through Temperature Programed Desorption (TPD) experiments. The adsorption equilibrium of asphaltenes was determined using a static batch method, and the data obtained was fitted using the Langmuir model, the Freundlich model and the SLE Model. Asphaltenes catalytic oxidation experiments were conducted, and it was found that this process was surface nature dependent. In all cases, the temperature of asphaltenes oxidation was reduced regarding the virgin asphaltene sample. The effective activation energies were estimated with the iso-conversional OFW method. This energy was found to be related to adsorption affinity and asphaltenes self-association on nanoparticles surface. Este trabajo busca evaluar el efecto de la acides superficial de nanopartículas de sílice fumárica en la adsorción y craqueo térmico de asfaltenos colombianos. La acidez de las superficies fue determinada a través de pruebas TPD. Los experimentos de adsorción fueron elaborados utilizando un método por lotes y los datos obtenidos fueron ajustados al modelo de Langmuir, al modelo de Freundlich y al modelo SLE. Se llevó a cabo la oxidación catalítica de los asfaltenos y se encontró que este proceso era dependiente de la superficie en que se llevaba a cabo. En todos los casos, la temperatura de oxidación de los asfaltenos fue reducida en consideración con los asfaltenos vírgenes. Las energías de activación fueron estimadas con el método isoconversional OFW. Se encontró que esta energía está relacionada con la afinidad del proceso adsortivo y la auto-asociación de los asfaltenos en la superficie de la nanopartícula

Las partículas finas débilmente cementadas a la matriz porosa pueden ser liberadas y movilizadas, causando reducciones en la porosidad y permeabilidad de un yacimiento y disminuyendo el recobro de petróleo. Con el fin de determinar el daño de formación por migración de finos y dar una posible solución a este problema, se desarrolló un sistema de adsorción en lechos empacados en los cuales se simuló experimentalmente la estabilización de los finos mediante el uso de nanopartículas. Los lechos adsorbentes usados fueron preparados con arena Ottawa y esferas de vidrio (radio promedio de 0,53 mm). Se usaron tres lechos de arena: uno sometido a un proceso de lavado (lecho humectable al agua), otro sometido a un proceso de daño usando un crudo colombiano extrapesado (lecho humectable al aceite) y un último compuesto de arena tratada con nanopartículas de sílice (5-15 nm). Con las esferas de vidrio se prepararon dos lechos: uno con las esferas lavadas y otro con las esferas impregnadas con nanopartículas. La suspensión de finos se preparó con nanopartículas de alúmina (50 nm) y agua destilada. Se observó que los lechos tratados con nanopartículas seguían los patrones idealizados de las curvas de ruptura, indicando que las nanopartículas de sílice inhiben la migración de finos debido a su alta capacidad adsortiva.

Uno de los impactos de la producción de petróleo es el aumento de la contaminación debido a la descarga de aguas de formación. Este documento presenta el estudio de la adsorción de crudo en nanopartículas de sílice funcionalizada con residuos de refinería (VR) al 2 y al 4 %wt. Además de zeolita y zeolita modificada (2 y 4%wt de VR) para reducir la cantidad de crudo en las emulsiones crudo/agua (W/O). Los modelos de Langmuir y Freundlich se usaron para ajustar las isotermas de adsorción a los datos experimentales. El rango de la concentración de crudo inicial fue desde 200 hasta 2000 mg/l. El cambio en la concentración después de la adsorción se determinó utilizando un espectrofotómetro UV visible. La cantidad máxima de adsorción se obtuvo con nanopartículas de sílice modificada al 4% para una concentración inicial de 200 mg/g con una eliminación de crudo del 100%, 9 mg/g más que la obtenida con zeolita modificada de 191 mg/g a la misma concentración. Los modelos de pseudo primer y pseudo segundo orden se usaron para ajustar los datos experimentales de la cinética de adsorción obtenidos a diferentes concentraciones de crudo, con mejores resultados para el modelo de pseudo segundo orden.