Polyindole nanoparticle-based electrorheological fluid and its green and clean future potential conformance control technique to oil fields

Esmaeilnezhad, Ehsan,Choi, Hyoung Jin ELSEVIER 2019 JOURNAL OF CLEANER PRODUCTION Vol.231 No.-

<P><B>Abstract</B></P> <P>The remaining challenging issue during oil production from reservoir is reduction of water production using a conformance control technique. As a new method, the feasibility of an electrorheological (ER) suspension for forming a solid-like structure to obstruct the pore throat in porous media was investigated. Suitable conducting nanoparticles for injection into an oil reservoir with regard to size, morphological shape, and field scale capability were synthesized and characterized, then dispersed in two types of oil: heavy and light crude oil. A series of ER experiments, including steady shear and dynamic tests were performed to determine the ability of the proposed conformance control fluid to produce a solid-like form with the electric field. The fluid was then modeled using both the Bingham and Herschel-Bulkley equations. The large ER behaviors proved feasibility of the proposed conformance controlling fluid for reducing water production, which can make the oil production operation more economical and environmentally friendly.</P>

Synthesis and thermal analysis of hydrophobic iron oxide nanoparticles for improving in-situ combustion efficiency of heavy oils

Ehsan Esmaeilnezhad,Milad Karimian,최형진 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.71 No.-

Hydrophobic iron oxide nanoparticles (NPs) were synthesized for the oil reservoir application. Theirsuspensions in crude oils were subjected to thermogravimetric analysis, and kinetic model of differentoxidation steps was obtained by a modified dynamic activation energy model. Results showed that NPscatalyzed initial oxygenation reactions, upgrading efficiency of cracking step, and speeded up thepropagation of the combustion front. Hence, their dispersion near wellbore could increase quality of theproduced oil, fuel availability, and propagation rate of the combustion front, by reducing plugging risk ofpore throats and deactivation risk offixed bed catalysts.

Effect of medium viscosity on rheological characteristics of magnetite-based magnetorheological fluids

Ehsan Esmaeilnezhad,Seyed Hasan Hajiabadi,최형진 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.80 No.-

This study examined the magnetorheological (MR) behavior of magnetite-based MRfluids according tothe magnetite concentration, magneticfield strength, and different viscosity of silicone oil as the carrierfluid. To this end, an experimental design was chosen to decrease the experimental error and provide abetter rheological interpretation. Theflow behavior parameters increased remarkably with increasingmedium viscosity and nanoparticles (NPs) concentration, whereas the magneticfield strength had amilder effect, exhibiting a saturation value above which its effect became almost negligible. Moreover,both the Bingham plastic and power law models were found tofit theirflow behaviors well. Almost all thecritical rheological parameters of the aforementioned models experienced remarkable improvementafter increasing the magneticfield strength, NPs concentration and carriedfluid viscosity. In addition,mathematical correlations were derived to model each of the rheological parameters such as plasticviscosity and yield stress (for Binghamfluid model) and the consistency and power-law indices (forpower-law model).

An experimental study on enhanced oil recovery utilizing nanoparticle ferrofluid through the application of a magnetic field

Ehsan Esmaeilnezhad,Si Le Van,전보현,최형진,Mahin Schaffie,Mostafa Gholizadeh,Mohammad Ranjbar 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.58 No.-

Enhanced oil recovery (EOR) is a significant target in oil engineering, and in this regard nanoparticle suspension flooding remains a challenging task. Therefore, in this study, suitable magnetic nanoparticles were synthesized for injection into a porous medium and then characterized. In addition, the utility of the synthesized nanoparticles for EOR with and without the application of a magnetic field was studied through a core flooding experiment. The oil recovery increased when a magnetic field was applied in comparison to without such an application owing to a better distribution and the utility of the magnetic nanoparticles in creating a column toward the direction of the magnetic field in the pore channels, which acts like a piston and can sweep the oil and thereby increase production.

Glutathione-capped core-shell structured magnetite nanoparticles: Fabrication and their nonlinear optical characteristics

Behrooz Maleki,Ehsan Esmaeilnezhad,최형진,Ehsan Koushki,Hossein Asghar Rahnamaye Aliabad,Mozafar Esmaeili 한국물리학회 2020 Current Applied Physics Vol.20 No.6

Core-shell structured magnetic Fe3O4@glutathione composite nanoparticles were synthesized and examined using diverse methods including Fourier-transform infrared spectroscopy, X-ray diffraction, energy-dispersive Xray analysis, transmission electron microscope, thermogravimetric analysis, and vibrating sample magnetometer analysis. In addition, the nonlinear optical measurements were performed by both open and closed aperture zscan methods using an aqueous colloidal solution of the fabricated nanoparticles. The colloidal system exhibited a positive nonlinear refractive index because of the self-focusing effect arising from optical re-orientation. Although optical re-orientation is a rare phenomenon in nanocolloids, high polarizability of the enveloping organic ligands caused optical re-orientation of the composite nanoparticles in the electrical field direction of the incident beam. Finally, the effect of external voltage on the nonlinear optical index was further investigated.

Application of artificial intelligence to magnetite-based magnetorheological fluids

Hossein Saberi,Ehsan Esmaeilnezhad,최형진 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.100 No.-

Magnetorheological (MR)fluids are intelligentfluids that change their state under a magneticfield andcan be extensively applied in several industries. In this study, a model was presented to predict the MRbehavioral trend of magnetite-based MRfluids using deep neural networks. The MR data of nine sampleswith several magnetite nanoparticle concentrations and different silicone oil viscosities were used fornetwork construction and testing; the aforementioned data were obtained under several magneticfieldstrengths. Seven samples were used for network training/testing within the training interval and twosamples were applied for evaluating the network accuracy outside the network training interval. Severalnetworks, such as the multi-layer perceptron (MLP), radial basis function, and adaptive neuro-fuzzyinference system, were employed, and the results were analyzed. The accuracy parameters (R2 and RMSE)of the MLP network for the training data (0.99625 and 0.00867) and test data (0.99130 and 0.01621), aswell as a comparison between the predicted and laboratory-measured results of the two samples thathad not been used in the modeling step, demonstrated the exceptional performance of the proposedmethod and an equation that was derived for predicting the shear stress. The latter equation enablesresearchers to achieve their needs without performing time-and cost-consuming MR tests in thelaboratory.

On the attributes of invert-emulsion drilling fluids modified with graphene oxide/inorganic complexes

Seyed Hasan Hajiabadi,Hamed Aghaei,Mahdieh Ghabdian,Mina Kalateh-Aghamohammadi,Ehsan Esmaeilnezhad,최형진 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.93 No.-

Drillingfluid properties can be modified using a variety of nano-additives to achieve specific rheologicaland physical characteristics. Selected invert-emulsion drillingfluids modified with three different kindsof graphene oxide (GO)-based nanomaterials including GO, Cu(II) salen, and Cu(II) salen@GO werefocused. The corresponding formation damage was evaluated through a set of core-flooding experimentsand computed tomography analyses on selected carbonate samples followed by a set of wettability-basedanalyses and electrical conductivity measurements. The results were bestfitted using the Casson modelwhile the employed nano-additives were evidenced to have negligible effect on reducing the depth ofpenetration. In addition, GO- and Cu(II) salen@GO additives were observed to decline the contact anglefor more than 20% and 35% in carbonate and sandstone samples, respectively, suggesting their potentialto resolve the wettability alteration issues. Furthermore, electrical conductivity of the drillingfluidsamples was increased for about 33 % using both Cu(II) salen and Cu(II) salen@GO additives.