DEVELOPMENT OF CAPACITANCE RESISTANCE MODEL (CRM) WITH CLUSTERING APPROACH TO OPTIMIZE WATERFLOOD IN PANDHAWA FIELD

• Main Author: Hasto Nugroho, Muhammad
• Format: Theses
• Language: Indonesia
• Subjects: Pertambangan dan operasi berkaitan
• Online Access: https://digilib.itb.ac.id/gdl/view/57390
• Institution: Institut Teknologi Bandung

Improving oil recovery from oil reservoir is becoming important issue for oil industry with increasing energy demand and fast technology development. Waterflooding is one of the most efective methods because of its high success ratio, easy in application and cost efficiency. Development until now has shown that Capacitance Resistance Model (CRM) can be used as alternative from reservoir model and simulation studies. CRM can be used as model to predict reservoir characterization and reservoir performance quickly and accurately which only requires historical production and injection data for history matching process. CRM characterizes the reservoir by calculating the connectivity value and the response delay between the injections well and the production well as unknown parameters. Pandhawa Field is a heterogeneous carbonate reservoir with an average permeability of 65 mD. After the peripheral waterflood has been carried out for a period of 20 years, the connection between the injection wells and the production wells is not yet known. In fact, the relationship between connectivity and distribution of water injection is very important in planning future wells, especially to quantify injection efficiency. By knowing the injection efficiency, the optimization process can be carried out by increasing the water injection rate in injection wells that have high efficiency and vice versa for injection wells with low injection efficiency the water injection rate will be reduced. In this study, the performance of waterflood is analyzed using the Capacitance- Resistance Injection-Production Model (CRM-IP) to determine the connectivity of each injection and production well. From the results of the modeling using CRM, the amount of oil flow from the total liquid produced is evaluated both before and after the injection pattern changes. This study has objectives to evaluate the CRM parameters in a Pandhawa oil field that applies peripheral waterflood. In this study, CRM-IP was also implemented using the MATLAB programming language. Optimization is also conducted by making changes to the correct injection pattern in order to get the most optimal cumulative oil production. Some proposed solution to reduce dimensionality of field data and improve CRM-IP history match quality is also discussed such as influence radius and clustering producers. Result of this study indicate that oil recovery from Pandhawa field could be optimized by conducting redistribution water injection management for each injector. Total additional oil 505 MBO will be obtained in this field during 120 months period. By using CRMIP methodology, waterflood management in this field can be done much faster, therefore decision taken for this field will be more effective.