Project Abstract

Abstract
The oil and gas industry has been experiencing a significant shift towards the integration of advanced technologies to improve reservoir characterization and enhance oil recovery processes. In this context, the application of Artificial Intelligence (AI) has emerged as a promising approach to optimize reservoir management strategies and increase production efficiency. This research focuses on exploring the potential of AI in reservoir characterization for enhanced oil recovery. The study begins with a comprehensive review of the existing literature on the utilization of AI techniques in the oil and gas industry, particularly in reservoir characterization and management. Various AI algorithms, including machine learning, neural networks, and deep learning, are analyzed for their effectiveness in interpreting complex reservoir data and providing valuable insights for decision-making. The research methodology involves the collection of field data from a selected oil reservoir and the application of AI models to analyze and interpret the data. The study aims to demonstrate how AI can enhance reservoir characterization by identifying key reservoir parameters, predicting fluid flow behavior, and optimizing extraction processes to maximize oil recovery. The findings of the study are presented in Chapter Four, which includes a detailed discussion on the effectiveness of AI in improving reservoir characterization and enhancing oil recovery. The results highlight the potential of AI models to accurately predict reservoir behavior, optimize production strategies, and reduce operational costs. In conclusion, the research underscores the significance of integrating AI technologies in reservoir characterization for enhanced oil recovery. The study contributes to the growing body of knowledge on the application of AI in the oil and gas industry and provides valuable insights for practitioners and researchers seeking to leverage advanced technologies for efficient reservoir management. Overall, this research serves as a stepping stone towards the adoption of AI-driven solutions in the oil and gas sector, paving the way for enhanced oil recovery and sustainable production practices.

Project Overview