The minimum miscibility pressure (MMP) is one of the crucial and substantial parameters in the gas injection projects for enhanced oil recovery (EOR). This parameter indicates the minimum pressure at constant temperature and composition conditions for reaching 100 percent of the oil production recovery which leads to a huge economic income. Therefore, an inaccurate prediction of the MMP may lea...

The suitability of phenyl-based deep eutectic solvents (DESs) as absorbents for toluene absorption was investigated by means thermodynamic modeling and molecular dynamics (MD). models perturbed-chain statistical associating fluid theory (PC-SAFT) conductor-like screening model real (COSMO-RS) were used to predict the vapor–liquid equilibrium DES–toluene systems. PC-SAFT yielded quantitative res...

Building and road extraction from remote sensing images is of great significance to urban planning. At present, most building models adopt deep learning semantic segmentation method. However, the existing methods did not pay enough attention feature information between hidden layers, which led neglect category context pixels in pixel classification, resulting these two problems large-scale misj...

A central issue in the equation of state (EoS) development is to describe accurately fluid density and thus other thermodynamic properties based on it. This study attempts investigate modeling high-pressure mixtures, particularly related reservoir fluids, by cubic non-cubic EoS. large database binary mixtures petroleum fluids was established used compare some typical EoS, including SRK, PR, PC-...

in this work, we have calculated the joule-thomson inversion curve of two important associating fluids, namely water and methanol, from the saft equation of state. comparisons with the available experimental data, for water and methanol indicate that this molecular based equation of state gives good prediction of the low temperature branch; but, unfortunately, due to lack of isenthalpic data fo...

A method to characterize crude oil including asphaltenes using the perturbed chain form of the statistical associating fluid theory (PC-SAFT) is presented. The theory accurately predicts the bubble point, density, and asphaltene precipitation onset for the oil. Examples show that the theory predicts asphaltene instability due to changes in pressure, temperature, and fluid composition. Further w...