PENGARUH BINARY INTERACTION PARAMETERS TERHADAP KINERJA MODEL FLUIDA INJEKSI CO2-ETHANOL MENGGUNAKAN GROUP CONTRIBUTION METHOD

• Main Author: Nabiil Mudzaffar, Refky
• Format: Final Project
• Language: Indonesia
• Subjects: Pertambangan dan operasi berkaitan
• Online Access: https://digilib.itb.ac.id/gdl/view/66294
• Institution: Institut Teknologi Bandung

The application of CO2 injection as a method of Enhanced Oil Recovery (EOR) is still in demand by the oil industry. Along with the times, currently, CO2 injection is also assisted by the presence of co-solvents to get better performance. Preparation for the CO2-Solvent project needs to be carried out in several stages of study so that it can be applied to a field, one of which is modelling the behavior of the reservoir fluid phase. Fluid modelling can be done using the Equation of State (EOS) approach, where the EOS commonly used in fluid modelling simulators is Peng Robinson. One of the parameters reviewed on the PR-EOS is the Binary Interaction Parameter (BIP). Binary interaction parameters generally depend on the molecular weight of a component. However, it will be a high level of uncertainty for the Pseudo-Component (PC), which has different characteristics in each field. This study focuses on the Binary Interaction Parameters owned by the Pseudo Component by reviewing the chemical structure of the component by applying the Group Contribution Method (GCM) in the calculation of BIP. So that the objectives to be achieved in this study are to make fluid modelling that has reviewed the chemical structure of the Binary Interaction Parameters using the CMG-WINPROP software and to analyze the effect of BIP differences on the fluid model of CO2-Solvent using Ethanol as a Solvent. This study also tries to apply the approach of oil composition analysis using SARA (Saturated, Aromatic, Resin and Asphaltene) data, which will later be applied in calculating binary interaction parameters using the group contribution method. This study shows that the modelling of the phase behavior of the reservoir fluid, which has considered the chemical structure, can be done by adding the group contribution method approach. In addition, the SARA analysis approach can also be applied, which has a pretty good overlay between the two approaches. The effect of differences in the CO2-Ethanol fluid model is shown by a decrease in the minimum miscibility pressure (MMP) by 38.8% from the initial conditions. In contrast, a decrease of 25.3% is obtained for those who do not review the chemical structure.