Project Abstract

Abstract
The oil and gas industry continues to seek innovative solutions to enhance oil recovery from offshore reservoirs, with a focus on maximizing production efficiency and optimizing resource utilization. In this context, the integration of artificial intelligence (AI) applications offers promising opportunities to revolutionize traditional approaches to reservoir management and production optimization. This research project aims to investigate the development and implementation of AI-based tools and techniques for enhanced oil recovery (EOR) in offshore reservoirs. The research begins with a comprehensive review of the existing literature on AI applications in the oil and gas industry, focusing on their effectiveness in reservoir characterization, production forecasting, and optimization strategies. By analyzing the current state-of-the-art technologies and methodologies, the study aims to identify gaps and opportunities for the integration of AI in EOR processes in offshore environments. The methodology chapter outlines the research approach, including data collection methods, AI algorithm selection criteria, model development, and validation procedures. Through a combination of simulation studies and real-world case studies, the research aims to demonstrate the feasibility and effectiveness of AI applications in optimizing oil recovery from offshore reservoirs. The findings chapter presents the results of the research, highlighting the performance improvements achieved through the integration of AI technologies in reservoir management and production optimization. By comparing the outcomes with traditional methods, the study aims to showcase the potential benefits of AI-driven approaches in enhancing oil recovery rates and maximizing resource utilization in offshore environments. The conclusion and summary chapter provide a comprehensive overview of the research outcomes, emphasizing the significance of AI applications for the future of offshore oil recovery operations. The study highlights the key findings, challenges, and opportunities identified throughout the research process, offering insights into the practical implications and potential barriers to the widespread adoption of AI technologies in the oil and gas industry. Overall, this research project contributes to the growing body of knowledge on AI applications for enhanced oil recovery in offshore reservoirs, providing valuable insights and recommendations for industry stakeholders, researchers, and policymakers. By leveraging AI technologies to optimize production processes and improve reservoir management practices, the study aims to drive innovation and efficiency in the offshore oil and gas sector, ultimately leading to sustainable and cost-effective solutions for maximizing oil recovery rates and enhancing operational performance.

Project Overview