Thesis Abstract

Abstract
This thesis focuses on the optimization of enhanced oil recovery (EOR) techniques in mature oilfields to maximize the extraction of remaining oil reserves. Mature oilfields, characterized by declining production rates and increased water cut, present a significant challenge for the oil and gas industry. The study aims to investigate various EOR techniques and develop a comprehensive optimization strategy tailored to the specific characteristics of mature oilfields. The research begins with a thorough literature review in Chapter 2, which examines existing EOR techniques such as water flooding, gas injection, chemical flooding, and thermal methods. The review highlights the advantages and limitations of each technique and identifies key factors that influence their effectiveness in mature oilfields. Chapter 3 outlines the research methodology, including data collection methods, simulation techniques, and optimization algorithms. The study employs a combination of reservoir simulation models and optimization algorithms to evaluate the performance of different EOR techniques under varying reservoir conditions. The methodology also incorporates sensitivity analysis to assess the impact of key parameters on the optimization process. Chapter 4 presents a detailed discussion of the findings, including the optimal EOR strategies identified for mature oilfields. The results demonstrate the effectiveness of integrated EOR approaches that combine multiple techniques to enhance oil recovery rates. The discussion also addresses the economic feasibility and environmental implications of implementing EOR strategies in mature oilfields. In the concluding Chapter 5, the thesis summarizes the key findings and contributions of the research. The study emphasizes the importance of adopting tailored EOR strategies to maximize oil recovery from mature oilfields while considering economic constraints and environmental sustainability. The conclusion also highlights potential future research directions, such as the development of advanced EOR technologies and the integration of data analytics and machine learning algorithms for real-time optimization. Overall, this thesis provides valuable insights into the optimization of EOR techniques in mature oilfields and offers practical recommendations for industry stakeholders and policymakers. By enhancing our understanding of EOR optimization strategies, this research contributes to the sustainable management of mature oilfields and the efficient utilization of remaining oil reserves.

Thesis Overview

The project titled "Optimization of Enhanced Oil Recovery Techniques in Mature Oilfields" focuses on addressing the challenges faced in mature oilfields by optimizing enhanced oil recovery (EOR) techniques. Mature oilfields are characterized by declining production rates and increasing operational costs, making it imperative to enhance recovery methods to maximize oil extraction. This research aims to investigate and implement advanced EOR techniques to improve oil recovery efficiency and extend the productive life of mature oilfields. The research will begin with a comprehensive literature review to explore the existing EOR methods and technologies applicable to mature oilfields. This review will provide a foundation for understanding the current industry practices, challenges, and potential opportunities for optimization. By identifying the strengths and limitations of different EOR techniques, the study will lay the groundwork for proposing innovative strategies tailored to the specific characteristics of mature oilfields. Subsequently, the research methodology will involve a combination of theoretical analysis, numerical simulations, laboratory experiments, and field trials to evaluate and optimize EOR techniques. The methodology will be structured to assess the technical feasibility, economic viability, and environmental impact of implementing different EOR strategies in mature oilfields. By employing a multidisciplinary approach, the research aims to develop practical recommendations for enhancing oil recovery while ensuring sustainable operations. The findings from this study are expected to contribute to the advancement of EOR practices in mature oilfields by offering insights into the most effective and efficient techniques for maximizing oil production. The discussion of findings will analyze the performance of various EOR methods, highlight the key factors influencing their effectiveness, and propose optimized strategies for application in real-world scenarios. Through a detailed examination of the results, this research seeks to provide valuable guidance for industry professionals, policymakers, and researchers involved in oilfield development and production optimization. In conclusion, this project on the optimization of enhanced oil recovery techniques in mature oilfields aims to address the critical need for innovative solutions to enhance oil production efficiency and sustainability. By leveraging advanced technologies and methodologies, the research endeavors to unlock the untapped potential of mature oilfields and support the long-term viability of oil extraction operations. Ultimately, the outcomes of this study have the potential to drive significant improvements in oil recovery rates, operational costs, and environmental performance, thereby making a valuable contribution to the field of petroleum engineering and the global energy industry.