Thesis Abstract

Abstract
The oil and gas industry continues to seek innovative technologies to optimize reservoir characterization and enhance oil recovery, particularly in offshore fields. This thesis explores the application of artificial intelligence (AI) in reservoir characterization for improved oil recovery in offshore fields. The study focuses on leveraging AI algorithms and machine learning techniques to analyze complex reservoir data and optimize production strategies. Chapter One provides an introduction to the research topic, presenting the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. Chapter Two consists of a comprehensive literature review, covering ten key research studies and industry reports related to AI applications in reservoir characterization and enhanced oil recovery. Chapter Three outlines the research methodology, detailing the data collection process, AI algorithms utilized, model development, simulation techniques, and validation methods. The chapter also discusses the software tools and technologies employed in the research process, ensuring the reliability and accuracy of the results. Chapter Four presents a detailed discussion of the research findings, including the analysis of reservoir data, AI model performance evaluation, comparison with traditional methods, and the impact of AI on enhancing oil recovery in offshore fields. The chapter also highlights the challenges encountered during the research process and proposes potential solutions for future implementation. In Chapter Five, the thesis concludes with a summary of the key findings, implications of the research outcomes, contributions to the field of petroleum engineering, and recommendations for further research. The thesis emphasizes the potential of AI in revolutionizing reservoir characterization practices and optimizing oil recovery strategies in offshore fields, leading to increased production efficiency and economic benefits for the oil and gas industry. Overall, this thesis contributes to the existing body of knowledge on AI applications in reservoir characterization and enhanced oil recovery, providing valuable insights for researchers, industry professionals, and decision-makers in the oil and gas sector. The study underscores the importance of embracing technological advancements such as AI to address the challenges of reservoir management and maximize oil production in offshore fields.

Thesis Overview