Optimization of Enhanced Oil Recovery Techniques in Mature Oilfields using Artificial Intelligence

Thesis Abstract

Abstract
The global demand for energy continues to rise, leading to increased focus on the efficient recovery of hydrocarbons from mature oilfields. Enhanced Oil Recovery (EOR) techniques play a crucial role in maximizing oil production from these reservoirs. This thesis investigates the optimization of EOR techniques in mature oilfields through the application of Artificial Intelligence (AI) technologies. The integration of AI algorithms and models offers the potential to enhance decision-making processes and improve the overall efficiency of EOR operations. Chapter One provides an introduction to the research topic, discussing the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of key terms. Chapter Two presents a comprehensive literature review on EOR techniques, AI applications in the petroleum industry, and previous studies related to the optimization of EOR processes using AI. Chapter Three outlines the research methodology, including data collection methods, AI algorithms utilized, simulation techniques, and performance evaluation criteria. The chapter details how AI models are trained and validated using historical field data to optimize EOR strategies in mature oilfields. Furthermore, the chapter discusses the implementation of AI technologies in reservoir characterization, well placement optimization, and production forecasting. Chapter Four presents a detailed discussion of the findings obtained from the application of AI-based optimization techniques in mature oilfields. The chapter analyzes the performance improvements achieved through the integration of AI in EOR processes, highlighting the impact on oil recovery efficiency, production rates, and economic benefits. Case studies and simulation results are presented to demonstrate the effectiveness of AI-driven optimization strategies in real-world oilfield applications. Chapter Five concludes the thesis by summarizing the key findings, discussing the implications of the research outcomes, and providing recommendations for future studies. The conclusion highlights the potential of AI technologies to revolutionize the oil and gas industry by enhancing the efficiency and sustainability of EOR operations in mature oilfields. Overall, this thesis contributes to the advancement of EOR practices through the innovative application of Artificial Intelligence, paving the way for more effective and sustainable hydrocarbon recovery strategies in the petroleum sector.