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| 1 | How much would silica nanoparticles enhance the performance of low-salinity water flooding?显示文摘Nanofluids and low-salinity water(LSW)flooding are two novel techniques for enhanced oil recovery.Despite some efforts on investigating benefits of each method,the pros and cons of their combined application need to be evaluated.This work sheds light on performance of LSW augmented with nanoparticles through examining wettability alteration and the amount of incremental oil recovery during the displacement process.To this end,nanofluids were prepared by dispersing silica nanoparticles(0.1 wt%,0.25 wt%,0.5 wt% and 0.75 wt%)in 2,10,20 and 100 times diluted samples of Persian Gulf seawater.Contact angle measurements revealed a crucial role of temperature,where no wettability alteration occurred up to 80 ℃.Also,an optimum wettability state(with contact angle 22°)was detected with a 20 times diluted sample of seawater augmented with 0.25 wt% silica nanoparticles.Also,extreme dilution(herein 100 times)will be of no significance.Throughout micromodel flooding,it was found that in an oil-wet condition,a combination of silica nanoparticles dispersed in 20 times diluted brine had the highest displacement efficiency compared to silica nanofluids prepared with deionized water.Finally,by comparing oil recoveries in both water-and oil-wet micromodels,it was concluded that nanoparticles could enhance applicability of LSW via strengthening wettability alteration toward a favorable state and improving the sweep efficiency. | Amir Hossein Saeedi Dehaghani Reza Daneshfar | 2019 | Petroleum Science2019，16，3： | 2 |
| 2 | On the prediction of filtration volume of drilling fluids containing different types of nanoparticles by ELM and PSO-LSSVM based models显示文摘There is a direct link between the extent of formation damage and the filtration volume of the drilling fluids in hydrocarbon reservoirs.The filtration volume can be diminished by adding different additives to the drilling fluids.Recently,nanoparticles have been extensively used for enhancing the filtration characteristics of the drilling fluids.However,there is no reliable model for investigating the influence of this class of additives on the performance of drilling fluids.Hence in this study,two powerful tools ELM(extreme learning machine)and PSO-LSSVM(particle swarm optimization-least square support vector machine)are applied to determine the effect of various nanoparticles on the filtration volume.The assessment of the models is carried out by computing the statistical parameters,and it is found that ELM has a greater ability to predict the filtration volumes,while PSO-LSSVM performs satisfactorily too.The model predictions and experimental results are in excellent agreement as suggested by the values of root mean squared error(RMSE=0.2459),coefficient of determination(R^(2)=0.999),and mean relative error(MRE=2.028%)for the dataset.The statistical analysis shows that the suggested model can predict the filtration volume with great accuracy.Moreover,through sensitivity analysis of the input parameters,it is found that for a specified nanoparticle,the filtration volume is highly influenced by nanoparticle concentration and it is the essential variable for the optimization process. | Aleksander Lekomtsev Amin Keykhosravi Mehdi Bahari Moghaddam Reza Daneshfar Omid Rezvanjou | 2022 | Petroleum2022，8，3： | 2 |
| 3 | Removal of Acid Red 299 dye on gold nanoparticles loaded on activated carbon: Kinetic and thermodynamic investigation of the removal process 显示文摘 | GHAEDI M ANDIKAEY Z DANESHFAR A | 2014 | Desaliraation and Water Treatment2014，52，2830： | 1 |
| 4 | Solubility of gallic acid in methanol, ethanol, water, and ethyl acetate显示文摘 | Daneshfar A Ghaziaskar H S Homayoun N | 2008 | Journal of Chemical & Engineering Data2008，53，3： | 1 |
| 5 | Load-frequency control: a GA-based multi-agent reinforcement learning 显示文摘 | DANESHFAR F BEVRANI H | 2010 | Generation Transmission & Distribution IET2010，4，1： | 1 |
| 6 | Determination of cholesterol in food samples using dispersive liquid-liquid microextraction followed by HPLC-UV 显示文摘 | DANESHFAR A KHEZELI T LOTFI H J | 2009 | Journal of Chromatography B- Analytieal Technologies in the Biomedical and Life Science2009，877，4： | 1 |
| 7 | Efficient removal of radioactive uranium from solvent phase using AgOH-MWCNTs nanoparticles: Kinetic and thermodynamic study 显示文摘 | Zare F Ghaedi M Daneshfar A | 2015 | Chemical Engineering Journal2015，273，1： | 1 |
| 8 | Solubility of gallic acid in methanol, water, and ethyl acetate 显示文摘 | Daneshfar A Ghaziaskar H S Homayoun N | 2008 | Journal of Chemical & Engineering Data2008，53，3： | 1 |
| 9 | Solubility ofgallic acid in methanol, ethanol, water, and ethyl acetate显示文摘 | Daneshfar A Ghaziaskar H S Homayoun N | 2008 | Journal of Chemical Engineering Data2008，53，3： | 1 |
| 10 | Determination of cholesterol in food samples using dispersive liquid - liquid microextraction followed by HPLC - UV 显示文摘 | Daneshfar A Khezeli T Lotfi H J | 2009 | J Chromatogr B2009，877，14： | 1 |
| 11 | Determination ofP-sitosterol and cholesterol in oils after reverse micelles withtriton X-100 coupled with ultrasound-assisted back-extractionby a water/chloroform binary system prior to gaschromatography with flame ionization detection 显示文摘 | Kardani F Daneshfar A Sahrai R | 2011 | Analytica Chimica Acta2011，701，2： | 1 |
| 12 | Solid phase extraction of antidepressant drugs amitriptyline and nortriptyline from plasma samples using core- shell nanoparticles of the type Fe3 O4@ ZrO2@ N-cetylpyridinium,and their subsequent determination by HPLC with UV detection显示文摘 | Zare F Ghaedi M Daneshfar A | 2015 | Microchimica Acta2015，182，： | 1 |
| 13 | Metabolism of bo- swellic acids in vitro and in vivo显示文摘 | Kriiger P Daneshfar R Eckert GP etal | 2008 | Drug Metab Dispos2008，36，： | 1 |
| 14 | Solubility of gallic acid in methanol, ethanol, water, and ethyl ace- tate 显示文摘 | Daneshfar A Ghaziaskar H S Homayoun N | 2008 | Journal of Chemical and Engineering Data2008，53，： | 1 |
| 15 | Determination of Cholesterol in Food Samples Using Dispersive Liquid-Liquid Microextraction Followed by HPLC-UV 显示文摘 | Daneshfar A Khezeli T Lotfi H J | 2009 | Journal of Chromatography B2009，877，4： | 1 |
| 16 | Merabolism of boswellic acids in vitro显示文摘 | Krger P Daneshfar R Rckert GP | 2008 | Drug Metab Dispos2008，36，： | 1 |
| 17 | Load-frequency control:a GA-based multi-agent reinforcement learning显示文摘 | Daneshfar F Bevrani H | 2010 | IET Generation Transmission & Distribution2010，4，1： | 1 |
| 18 | A new intelligent agent-based AGC design with real-time application显示文摘 | Bevrani H Daneshfar F Hiyama T | 2012 | IEEE Transactions on Systems Man and Cybernetics Part C:Applications and Reviews2012，42，6： | 1 |
| 19 | Deter- mination of nicotine, anabasine, and cotinine in urine and saliva samples using single-drop microextraction 显示文摘 | KARDANI F DANESHFAR A SAHRAI R | 2010 | Journal of Chromatography B2010，878，28： | 1 |
| 20 | Kinetics, thermodynamics and equilibrium evaluation of direct yellow 12 removal by adsorption onto silver nanoparticles loaded activated carbon显示文摘 | M. Ghaedi B. Sadeghian A. Amiri Pebdani R. Sahraei A. Daneshfar C. Duran | 2012 | Chemical Engineering Journal2012，，： | 1 |
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