#TITLE_ALTERNATIVE#

• Main Author: FADHILLAH AMIIN (NIM : 12211058), CHANDRA
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/26234
• Institution: Institut Teknologi Bandung

Study on Field Y as a gas condensate reservoir focuses on sensitivity optimization and determination of the amount of hydrocarbon recovery factor from the reservoir. Estimation of hydrocarbon recovery factor to predict recoverable resources or reserves is one of the important aspect in a field development strategy. Based on the common phase diagram of condensate gas reservoirs, pressure decline which exceeds the dew point will make the most of the gas to condense into liquid phase. Most of the condensate formed, will be trapped in the reservoir and will not be able to flow. One of the condensate recovery factor enhancement techniques that can be done is by cycling injection of dry gas into the reservoir which makes the reservoir pressure declined slower and help to alleviate the condensate to be flowed. In this study, compositional simulator used to predict the recovery factor of hydrocarbon by natural depletion and also the condition when the dry gas cycling injection system applied. Validation and optimization of condensate recovery factor was also done by using Design of Experiment (DOE) model of 2 level full factorial to find a suitable regression model in determining the recovery factor of condensate on Field Y. <br /> <br /> <br /> <br /> Initially, calculation for recovery factor of condensate on the condition of natural depletion was done by using the equation from Pollard and Bradley study which gives a difference of 32.9% against the simulation results. Parameters from the Polard and Bradley equation such as initial water saturation, porosity, reservoir pressure and fluid API are included in the Design of Experiment (DOE). Those parameters simulated with certain minimum and maximum values to see the effect on cumulative oil production. Regression model for the recovery factor of condensate generated from the Design of Experiment (DOE) gives 3.13% difference against the simulation results during natural depletion. Additional parameters which added in the Design of Experiment (DOE) when the dry gas cycling injection applied are flow rate re-injection fraction of dry gas, the distance between the injection well to production well on the Direct Line Drive (DLD) pattern, and time of injection. Those parameters were also analyzed to see the effect of the maximum and minimum values on the recovery of cumulative oil production. Regression model generated from the Design of Experiment (DOE) on calculation of recovery factor of condensate shows a reliable results against the simulation with the value of is 0.9597. Thus, it can be concluded that those parameters have significant effects on the recovery factor of condensate and represent a good regression model for the condensate recovery factor calculation in Field Y.