Perpustakaan Digital ITB

Oil field development involves a series of activities aimed at discovering, utilizing, and managing hydrocarbon resources within a reservoir. A key component of oil field development is determining the most effective locations for well placement. Furthermore, creating an integrated subsurface-surface model is crucial in this field as an approach to enhance planning and management by ensuring that surface infrastructure supports subsurface operations effectively. This study aims to conduct field development by determining effective well placement using Simulation Opportunity Index (SOI). In addition, integration modelling between subsurface (reservoir) and surface (pipelines) is conducted to monitor whether production loss occurs compared to forecasting using the reservoir model alone. If a production loss occurs, a sensitivity analysis is performed using the Particle Swarm Optimization (PSO) algorithm to identify parameters that affect production loss and to obtain the best scenario to minimize production loss. All processes in this study were conducted using the tNavigator simulator. The simulation results showed four well points that were considered the most optimal based on the cumulative total oil from the ten scenarios tested. It was found that there was a production loss of 19.4%, which was then successfully overcome through optimization, resulting in a 10% increase in production. In addition, the five parameters that had the most influence on production loss were elevation of pipe 5, hydrostatic pressure, roughness, elevation of pipe 3_2, and pressure at the tubing head of Well 3 out of twenty parameters that had been determined.