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Monitoring of asphaltene precipitation: Experimental and modeling study
Authors:Hassan Nakhli  Ahmad Alizadeh  Mohsen Sadeqi Moqadam  Sajjad Afshari  Riyaz Kharrat  MH Ghazanfari
Affiliation:aPetroleum University of Technology, South Khosrow St., Tehran, Iran;bDepartment of Chemical and Petroleum Engineering, University of Calgary, Calgary, Alberta, Canada;cTehran petroleum Research Center, Ghasemzadian St., Tehran, Iran;dDepartment of Chemical Engineering, Sharif University, Tehran, Iran
Abstract:Preparing relatively complete collections of experimental data on asphaltene precipitation in different reservoir conditions leads to considerable improvement in this area of science. In this work, asphaltene precipitation was studied upon two Iranian live oil samples, one a heavy oil and another light oil, under primary depletion as well as gas injections. Pressure depletion experiments were carried out at different temperatures to observe temperature effect besides pressure changes on asphaltene phase behavior. CO2, dry and enriched gases were used as injecting agents to investigate the effect of different gases on asphaltene precipitation. Surprisingly, it was observed that raising temperature decreases the amount of precipitation in case of heavy oil while acting in favor of precipitation for light oil sample. In addition, Enriched gas resulted in more precipitation compared to dry one while CO2 acted as hindering agent for light oil samples but increased the amount of precipitation in case of heavy oil. In the next part of this work, polydisperse thermodynamic model was developed by introducing an asphaltene molecular weight distribution function based on fractal aggregation. Modification that was introduced into polydisperse model not only solved the instability problem of Kawanaka model but also eliminates the need for resin concentration calculation. Flory–Huggins and Modified Flory–Huggins thermodynamic solubility models were applied to compare their predictions with proposed model.
Keywords:asphaltene precipitation  polydisperse thermodynamic modeling  fractal aggregation  molecular weight distribution  high pressure high temperature conditions
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