Application of Artificial Intelligence in Reservoir Characterization for Enhanced Oil Recovery in Offshore Fields

Thesis Abstract

Abstract
The utilization of Artificial Intelligence (AI) in the Petroleum Engineering sector has witnessed a significant surge in recent years, particularly in the domain of reservoir characterization for Enhanced Oil Recovery (EOR) in offshore fields. This thesis focuses on exploring the application of AI techniques to enhance reservoir characterization processes and subsequently improve the efficiency and effectiveness of EOR operations in offshore fields. The objectives of this study are to investigate the potential benefits of AI in reservoir characterization, identify the challenges and limitations faced in implementing AI in offshore fields, and assess the impact of AI on the overall EOR performance. The research methodology employed includes a comprehensive literature review, data collection from relevant case studies, and the development of AI models for reservoir characterization analysis. Chapter 1 provides an introduction to the study, highlighting the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. Chapter 2 presents a detailed literature review encompassing ten key areas related to AI in reservoir characterization and EOR in offshore fields. Chapter 3 discusses the research methodology, including data collection methods, AI model development, validation techniques, and performance evaluation criteria. The findings discussed in Chapter 4 reveal the efficacy of AI techniques in enhancing reservoir characterization accuracy, optimizing EOR strategies, and increasing production rates in offshore fields. The results also highlight the challenges faced in implementing AI, such as data quality, model complexity, and computational requirements. In conclusion, Chapter 5 summarizes the key findings and implications of the study, emphasizing the potential of AI to revolutionize reservoir characterization and EOR practices in offshore fields. The study contributes to the existing body of knowledge by demonstrating the practical applications of AI in the petroleum industry and providing insights into future research directions for further advancements. Overall, this thesis underscores the transformative potential of AI in reshaping reservoir characterization practices for Enhanced Oil Recovery in offshore fields, paving the way for more efficient, sustainable, and cost-effective oil extraction processes in the petroleum sector. Word Count 263