Project Abstract

This project aims to investigate and optimize the use of enhanced oil recovery (EOR) techniques in mature oil fields, where conventional production methods have become less effective over time. As the global energy demand continues to rise, the need to maximize the extraction of hydrocarbons from existing reservoirs has become increasingly crucial. Mature oil fields, despite their declining production rates, still hold a significant amount of untapped oil reserves that can be recovered through the application of advanced EOR methods. The primary objective of this project is to develop a comprehensive framework for the selection, implementation, and optimization of EOR techniques in mature oil fields. The research will focus on evaluating the performance of various EOR methods, including thermal, chemical, and gas injection techniques, in order to identify the most suitable and cost-effective approaches for specific field conditions and reservoir characteristics. The project will begin with a thorough review of the existing literature and case studies related to EOR applications in mature oil fields. This will provide a solid foundation for understanding the current state of the art and the challenges associated with optimizing EOR techniques. Additionally, the project will involve the collection and analysis of field data from selected mature oil fields, including production history, reservoir properties, and current recovery methods. Using this data, the project team will develop numerical simulation models to simulate the performance of different EOR strategies under various field conditions. These models will be calibrated and validated against historical production data to ensure their accuracy and reliability. The simulation results will then be used to identify the most promising EOR techniques for each field, taking into account factors such as technical feasibility, economic viability, and environmental considerations. Furthermore, the project will explore the integration of advanced data analytics and machine learning techniques to enhance the decision-making process in EOR optimization. By leveraging these emerging technologies, the project aims to develop robust optimization algorithms that can adapt to the dynamic and complex nature of mature oil fields, thereby improving the overall efficiency and effectiveness of EOR implementation. The successful completion of this project will contribute to the body of knowledge in the field of enhanced oil recovery and provide valuable insights for the oil and gas industry. The findings will enable operators to make more informed decisions regarding the selection and optimization of EOR techniques, leading to increased oil recovery, improved economic returns, and reduced environmental impact. Additionally, the project's outcomes may pave the way for the development of novel EOR strategies that are tailored to the unique challenges of mature oil fields, ultimately helping to meet the global energy demand in a sustainable manner.

Project Overview