Anomalous Heavy-Oil Rheological Thinning Behavior upon Addition of Nanoparticles: Departure from Einstein’s Theory

Taborda, Esteban A.; Franco, Camilo A.; Ruiz, Marco A.; Alvarado, Vladimir; Cortés, Farid B.

doi:10.1080/00986445.2017.1302943

Cited by 12 publications

(9 citation statements)

References 80 publications

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“…This last analysis would suggest that the CSN has a higher surface concentration of asphaltene−nanoparticle interaction points, which may result in higher amounts of adsorbed asphaltenes that generate further viscosity reduction. 45,46 Nonetheless, the silanol active sites available on the surface of the nanoparticles could change according to the nanomaterials' textural properties such as surface area and hydrodynamic diameter. Figure 8 shows the influence of the nanoparticles' textural properties on the presence of SO on their surface in terms of their (A) surface area and (B) the mean hydrodynamic diameter (dp 50 ).…”

Section: Resultsmentioning

confidence: 99%

“…A nanoparticle concentration of 1000 mg•L −1 was used as it has been demonstrated in previous studies that it is close to the optimum dosage for obtaining the highest viscosity reduction. 45,46 The rheological behavior of the samples was evaluated using a Kinexus Pro (Malvern Instruments, Worcestershire, U.K.) rheometer equipped with a solvent trap and with a Peltier cell for controlling the temperature with a precision of 1 × 10 −2 °C. The tests were carried out using a parallel-plate geometry of 20 mm with a GAP of 0.3 mm at a temperature of 25 °C with a 2 min shear rate ramp starting from 0.01 to 50 s −1 .…”

Section: Discussionmentioning

confidence: 99%

“…In further studies, Taborda et al 46,47 found that the maximum HO viscosity reduction for the evaluated silica nanoparticles was reached with a concentration near 1000 mg• L −1 , with a DVR of roughly 52%. Also, Taborda et al 45 studied the mechanisms leading to HO viscosity reduction through dynamic rheological tests, establishing that the crude oil microstructure was altered upon nanoparticle addition, which reduced the elastic contributions of the viscoelastic fluid after being subjected to stress, suggesting a disruption in the asphaltene viscoelastic network.…”

Section: Introductionmentioning

confidence: 89%

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Effect of Textural Properties and Surface Chemical Nature of Silica Nanoparticles from Different Silicon Sources on the Viscosity Reduction of Heavy Crude Oil

et al. 2020

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The main objective of this study is to evaluate the effect of the textural properties and surface chemical nature of silica nanoparticles obtained from different synthesis routes and silicon precursors, on their interactions with asphaltenes and further viscosity reduction of heavy crude oil (HO). Four different SiO 2 nanoparticles were used, namely, commercial fumed silica nanoparticles (CSNs) and three in-house-synthesized nanoparticles (named based on the silicon source) modifying the silicon precursor: sodium silicate (SNSS), tetraethylorthosilicate (TEOS) (SNT), and rice husk (SNRH). The nanomaterials were characterized through dynamic light scattering (DLS), transmission electron microscopy (TEM), Fourier transform infrared (FTIR) spectroscopy, N 2 physisorption (S BET ), atomic force microscopy (AFM), and X-ray photoelectron (XP) spectroscopy (XPS). The adsorption of asphaltenes over the different nanoparticles was evaluated at a concentration of 1000 mg•L −1 in toluene. The asphaltene−nanoparticle interactions are closely related to several textural properties, such as roughness, surface area, and hydrodynamic diameter, as well as the surface chemical nature of the materials. The results in the textural characterization exhibited that the sizes of the nanoparticles from TEM ranged between 6.9 and 11.5 nm. Nevertheless, the standard deviation of the measurements showed that the sizes are statistically similar. Inversely, the hydrodynamic diameter changed, affecting the surface silanol group's availability due to a hindering effect on functional groups as the hydrodynamic size of the material increased. The rheological measurements were performed at a fixed nanoparticle dosage of 1000 mg•L −1 and showed that the trend of the degree of viscosity reduction (DVR) was CSN > SNT > SNSS > SNRH with the highest value yielding at 30%. The results of DVR are in accordance with the nanoparticles' adsorptive capacity as higher values were obtained with the material that leads to a higher amount of adsorbed asphaltenes. Also, the oxygen amount related to silanol groups, estimated by the XPS analysis, showed a direct relation regarding adsorption capacity and further HO viscosity reduction.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 89%

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Effect of Textural Properties and Surface Chemical Nature of Silica Nanoparticles from Different Silicon Sources on the Viscosity Reduction of Heavy Crude Oil

et al. 2020

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“…SiO 2 nanoparticles have been used for the nanofluids formulation due to their high asphaltenes selectivity that foments the adsorption of these crude oil heavy fractions onto their surface [12,28], leading to a reduction in the asphaltenes aggregates sizes in solution. This phenomenon is narrowly related to the EHO viscosity reduction [30] due to an internal structure modification derived by the complex viscoelastic network disruption [7,57]. In this sense, nanoparticles-asphaltenes interactions were studied through adsorption isotherms and rheological behavior tests before evaluating the nanofluid design and further effects on EHO, VRD and viscosity reduction perdurability.…”

Section: Nanofluids Formulationmentioning

confidence: 99%

“…It has been proven that SiO 2 nanoparticles have high selectivity for asphaltene adsorption, which is the primary cause of the viscoelastic network modification that leads to viscosity reduction in HO and EHO [7,12,30,57]. The influence of nanoparticles addition in HO and EHO rheological behavior has been determined by evaluating the adsorption phenomenon of crude oil heavy compounds such as asphaltenes.…”

Section: Asphaltenes Adsorptionmentioning

confidence: 99%

Development of Nanofluids for Perdurability in Viscosity Reduction of Extra-Heavy Oils

Montes

Orozco²,

Taborda

et al. 2019

Energies

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The primary objective of this study is the development of nanofluids based on different diluent/dispersant ratios (DDR) for extra-heavy oil (EHO) viscosity reduction and its perdurability over time. Different diluents such as xylene, diesel, n-pentane, and n-heptane were evaluated for the formulation of the carrier fluid. Instability of asphaltenes was assessed for all diluents through colloidal instability index (CII) and Oliensis tests. Rheology measurements and hysteresis loop tests were performed using a rotational rheometer at 30 °C. The CII values for the alkanes type diluents were around 0.57, results that were corroborated with the Oliensis tests as asphaltenes precipitation was observed with the use of these diluents. This data was related to the viscosity reduction degree (VRD) reported for the different diluents. With the use of the alkanes, the VRD does not surpass the 60%, while with the use of xylene a VRD of approximately 85% was achieved. Dimethylformamide was used as a dispersant of the nanoparticles and had a similar VRD than that for xylene (87%). Subsequent experiments were performed varying the DDR (xylene/dimethylformamide) for different dosages up to 7 vol % determining that a DDR = 0.2 and a dosage of 5 vol % was appropriated for enhancing EHO VRD, obtaining a final value of 89%. Different SiO2 nanoparticles were evaluated in the viscosity reduction tests reporting the best results using 9 nm nanoparticles that were then included at 1000 mg·L−1 in the carrier fluid, increasing the VRD up to 4% and enhancing the perdurability based on the rheological hysteresis and the viscosity measurements for 30 days. Results showed a viscosity increase of 20 and 80% for the crude oil with the nanofluid and the carrier fluid after 30 days, respectively. The nanoparticles have a synergistic effect in the viscosity reduction and the inhibition of the viscoelastic network re-organization (perdurability) after treatment application which was also observed in the rheological modeling carried out with Cross and Carreau models as the reported characteristic relaxation time was increased almost a 20%. Moreover, the Vipulanandan rheological model denotes a higher maximum stress value reached by the EHO with the addition of nanofluids which is derived from the EHO internal structure rearrangement caused by the asphaltenes adsorption phenomenon.

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Dispersed Nickel-Based Catalyst for Enhanced Oil Recovery (EOR) Under Limited Hydrogen Conditions

et al. 2020

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Anomalous Heavy-Oil Rheological Thinning Behavior upon Addition of Nanoparticles: Departure from Einstein’s Theory

Cited by 12 publications

References 80 publications

Effect of Textural Properties and Surface Chemical Nature of Silica Nanoparticles from Different Silicon Sources on the Viscosity Reduction of Heavy Crude Oil

Effect of Textural Properties and Surface Chemical Nature of Silica Nanoparticles from Different Silicon Sources on the Viscosity Reduction of Heavy Crude Oil

Development of Nanofluids for Perdurability in Viscosity Reduction of Extra-Heavy Oils

Dispersed Nickel-Based Catalyst for Enhanced Oil Recovery (EOR) Under Limited Hydrogen Conditions

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