Perpustakaan Digital ITB

Currently, 66.67% of the global daily oil production and 90% of Indonesia's oil production are derived from mature fields, whose capacity has gradually declined. Governments, oil corporations, and service providers must devise strategies to effectively address society's energy needs in daily life and ensure the business's financial stability. Hydraulic fracturing has proven to be a cost-efficient method for improving productivity in mature oil fields. Nevertheless, these operations require substantial financial resources, including engaging in high-risk activities and dealing with uncertainty. This study aims to thoroughly examine the process of identifying appropriate candidates for hydraulic fracturing operations by focusing on rock mechanics analysis, enhancing the efficiency of hydraulic fracturing operations, and evaluating post-job analysis to find which well gives the highest investment return after the operations are performed. A geomechanics analysis is first conducted as a screening parameter for well-candidate selection. The analysis results include Poisson's ratio, Young's modulus, and Minimum horizontal stress, giving us information about the in-situ stress condition at the zone of interest, which we can predict where and how the fracture goes. Subsequently, by utilizing the Stimplan-NSI simulator, we may better understand the hydraulic fracture formed concerning the specific characteristics of the reservoir and the rock formation. Finally, after adjusting specific treatment parameters to reach the desired outcome for both hard rock and soft rock formations, nodal analysis is conducted to identify the most optimal candidate for fracturing operations. Ultimately, a highly effective ranking system for potential candidates is achieved with various recommendations, such as conducting a study or test before main-frac operations, setting clear objectives for fracturing design in both soft and hard rock formations, and optimal treatment involves controlling the injection rate, proppant mass, pad volume, and gel loading of fracturing fluids within the desired range. The project's profitability is likely to grow, and uncertainties are projected to decrease by selecting a promising candidate and implementing an optimal treatment strategy.