Data-Driven Comparison Between Solid Model and PC-SAFT for Modeling Asphaltene Precipitation

Abstract

Selecting an appropriate Equation of State to model asphaltene precipitation in compositional wellbore/reservoir simulators is still unclear in the literature. Recent studies have shown that PC-SAFT is a more appropriate model for asphaltene precipitation compared to the commonly used solid model. The main objective of this paper is to compare the solid model and PC-SAFT in both static and dynamic asphaltene modeling. Through fluid characterization, the capabilities of both models are compared to reproduce precipitation experimental data. The results show that both solid model and PC-SAFT are capable of accurate modeling of asphaltene precipitation. Although matching process using PC-SAFT is much easier, solid model is also able to reproduce the experimental data with the same quality as PC-SAFT, if it is tuned properly. The simulations showed that PC-SAFT is superior to solid model in terms of accuracy for extrapolation when the experimental data are not available for the simulation conditions (i.e. variation in temperature, pressure, and fluid composition in the reservoir/wellbore). However, both models are applicable for interpolation when the experimental data covers the range of simulation condition. The wellbore simulations show that although the trend of asphaltene deposition is similar for both models, solid model overestimates the amount of asphaltene precipitation and deposition in the wellbore compared to the PCSAFT model. On the other hand, since PC-SAFT uses an iterative procedure for finding the density roots, phase equilibrium calculation, and consequently, the simulation procedure takes much more computational time when PC-SAFT is used.

Modeling of Asphaltene Precipitation in Calculation of Minimum Miscibility Pressure

“…An analogous simulation might be applied for the estimation of MMP, but the problem with SAFT and PC-SAFT is that the parameters are tuned to the vapor pressure curve, not the critical point which is vital for MMP estimation. Furthermore, an iterative procedure for finding the density roots and phase equilibrium calculation is time-consuming when the PC-SAFT is used …”

“…Furthermore, an iterative procedure for finding the density roots and phase equilibrium calculation is time-consuming when the PC-SAFT is used. 67…”

A Short‐Term Regional Precipitation Prediction Model Based on Wind‐Improved Spatiotemporal Convolutional Network

“…To overcome the aforementioned limitations, data‐driven models have been utilized for precipitation forecasting. Such models use system state variables as input and output to establish the correspondence (Abouie et al., 2017). This kind of approach is more popular because it focuses more on characteristics between historical data.…”

Static and Dynamic Comparison of Equation of State Solid Model and PC-SAFT for Modeling Asphaltene Phase Behavior

“…Afterward, the fluid properties are calculated using state relations. More details of the wellbore model formulation and development of PC-SAFT equation of state can be found in Shirdel (2013), Mohebbinia et al (2014), Abouie et al (2015Abouie et al ( , 2016. The objective of this work is to integrate PC-SAFT equation of state with the compositional wellbore simulator (UTWELL) to model the thermodynamics of asphaltene precipitation.…”