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Statistical Model and Experimental Study of Oil Viscosity Reduction and Rock Wettability Alteration Induced by Nanoparticles
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, ECMOR XVII, Sep 2020, Volume 2020, p.1 - 10
Abstract
Recently, nanoparticles (NPs) have been introduced as useful solution for enhanced oil recovery (EOR) challenges. In this context, one of the challenges is related to precipitation of asphaltene content in oil reservoirs which affects rock and fluid properties including oil viscosity and rock wettability. This paper, at the first, aims to investigate the potential of silica NPs for oil viscosity reduction which increases the mobility of oleic phase leading to EOR. Next, the effect of silica NPs on precipitation of asphaltene on sandstone rocks in which affects rock wettability will be explored. At the last, a statistical modeling study will be performed using MINITAB Software to investigate the effect of temperature, nanofluids concentration and oil composition on rock and oil properties. To this end, viscometer oil testing and contact angle measurement were conducted. The results showed that silica NPs inhibited or delayed precipitation of asphaltene in sandstone rock and consequently, the potential of asphaltene for changing rock wettability toward decreasing oil- wet condition. In addition, the results demonstrated that the dispersion of silica NPs in the oleic phase could decrease oil viscosity as much as 98% by cracking carbon-oxygen and carbon-carbon bonds in the hydrocarbon chains. By statistical analysis also a multiple linear regression model was developed to predict the percentage of oil viscosity reduction by NPs. In addition, R squared value obtained as much as 98.9% and p value was smaller than 0.05 indicating the effective role of oil sample, silica NPs concentration and temperature parameters on the oil viscosity reduction. F values of 152.86, 845.4 and 91.78 were achieved for each parameters, respectively. Also, no interaction between each pair of parameters for the viscosity reduction was observed. The results of the modeling section was found to have acceptable application in forecasting oil field data. This study support the EOR potential of NPs in oil and gas fields.