An optimization approach to study the phase changing behavior of multi-component mixtures

TL;DR

This paper introduces an optimization method to improve the modeling of phase behavior in multi-component hydrocarbon-CO2 mixtures under reservoir conditions, enhancing prediction accuracy for CCS and EOR applications.

Contribution

It presents a novel optimization approach to determine binary interaction parameters, improving the predictive capability of phase behavior models in complex hydrocarbon-CO2 systems.

Findings

Optimized parameters align with physical ranges.

Enhanced model accuracy for multi-component systems.

Successful reproduction of experimental observations.

Abstract

The appropriate design, construction, and operation of carbon capture and storage (CCS) and enhanced oil recovery (EOR) processes require a deep understanding of the resulting phases behavior in hydrocarbons-CO_2 multi-component mixtures under reservoir conditions. To model this behavior a nonlinear system consists of the equation of states and some mixing rules (for each component) needed to be solved simultaneously. The mixing usually requires to model the binary interaction between the components of the mixture. This work employs optimization techniques to enhance the predictions of such model by optimizing the binary interaction parameters. The results show that the optimized parameters, although obtained mathematically, are in physical ranges and can reproduce successfully the experimental observations, specially for the multi-component hydrocarbons systems containing Carbon dioxide at reservoir temperatures and pressures