Application of Artificial Intelligence in Reservoir Characterization and Production Optimization for Enhanced Oil Recovery in Mature Fields

Thesis Abstract

Abstract
The oil and gas industry continually seeks innovative approaches to enhance oil recovery from mature fields, where conventional methods have reached their limits. One promising solution is the application of Artificial Intelligence (AI) techniques in reservoir characterization and production optimization. This thesis explores the potential of AI to revolutionize the management of mature oil fields by leveraging advanced algorithms and data analytics to improve reservoir understanding and optimize production strategies. Chapter One provides an introduction to the research topic, presenting the background of the study by highlighting the challenges faced in mature fields, stating the problem statement, objectives, limitations, scope, significance of the study, and defining key terms. Chapter Two conducts a comprehensive literature review spanning ten key areas related to AI applications in reservoir characterization and production optimization, examining existing studies, methodologies, and technologies employed in the field. Chapter Three outlines the research methodology employed in this study, detailing eight key components including data collection methods, AI algorithm selection, model development, validation techniques, and performance evaluation metrics. The chapter also discusses the implementation of AI tools and software for reservoir characterization and production optimization. In Chapter Four, the findings of the research are extensively discussed, analyzing the outcomes of applying AI techniques in reservoir characterization and production optimization for enhanced oil recovery in mature fields. The chapter presents the results of reservoir modeling, production forecasting, and optimization strategies, showcasing the effectiveness of AI in improving reservoir performance and maximizing oil recovery rates. Finally, Chapter Five presents the conclusion and summary of the thesis, highlighting the key findings, implications, and contributions of the research. The study demonstrates the significant potential of AI in transforming the oil and gas industry by enhancing reservoir characterization, optimizing production strategies, and ultimately increasing oil recovery from mature fields. Recommendations for future research directions and practical applications of AI in the industry are also provided. In conclusion, this thesis offers valuable insights into the application of Artificial Intelligence in reservoir characterization and production optimization for enhanced oil recovery in mature fields. By harnessing the power of AI technologies, the oil and gas industry can overcome challenges associated with mature fields and improve operational efficiency, leading to sustainable and cost-effective oil production practices.