LAUSR

The ability to capture the asphaltene precipitation conditions is key to minimize costs associated with production causing by asphaltene depositing and blocking wellbores and pipelines. In this paper, the asphaltene phase behavior of six crude oils from different regions and with varying gas injections were accurately modeled using the Perturbed Chain form of the Statistical Associating Fluid Theory (PC-SAFT) equation of state (EOS). The characterization of choice is crucial to the accuracy obtained from equations of state. A comparison of asphaltene phase behavior modeling following the characterization by Panuganti et al. and the proposed modification is explained in detail in this paper. The modified characterization incorporates the effect of asphaltene aggregate size on the onset pressure. Consequently, the PC-SAFT EoS modeling following the modified characterization expressed a relaxed slope and thus able to capture larger data set up to high gas injection especially in low temperature region. In ad...