#TITLE_ALTERNATIVE#

• Main Author: PRATAMA PURBA (NIM : 12214067), PRIOZKY
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/29990
• Institution: Institut Teknologi Bandung

X field is a mature offshore oil field located in Asri Basin, Southeast Sumatera, Indonesia. This field once reached its peak production rate of 196,000 bopd, but now it produces only approximately 13,000 bopd with extremely high water cut. Almost 85 % of the oil wells in this field is producing with water cut more than 99%. It may occur due to majority reservoirs in this field are supported with strong water drive mechanism after its 28 years of production. This field has 9 active offshore platforms and 94 active production wells. Due to that complexity and abundant data like X field, sometimes it is difficult to monitor the production system in petroleum industry quickly and accurately without integrated tools. Therefore, full-field modeling has become increasingly important to this industry.It combines reservoir, production, and surface network modeling into an integrated asset management tool that allows the simulation of the entire oil and gas system for generation of production forecasts, identification of optimization opportunities, surveillance, and development planning. <br /> <br /> <br /> The purposes of this study are to identify the problem along pipeline and to optimimize the model by building the full-field model previously. In this study, full-field model will be built by using WelllFlo and ReO software. WellFlo software will be used to model the performance of reservoir and well in this field. While ReO software well be used to build surface pipeline network and also the production facilities. Model that has been built must be matched to the actual condition in field. Next, each surface pipeline segment will be analyze if there are problems occured during the current production based on not optimum fluid velocity in pipe. Several optimization scenarios will be carried out to attempt the increase of oil production rate in this field. The result from this model could give the description of fluid behavior flowed along the surface pipeline network, in the terms of fluid velocity. The optimization scenarios can increase the total oil production in X Field up to 10 %.