The oil and gas industry is increasingly complex, requiring robust project management approaches to handle challenges such as cost overruns, delays, regulatory compliance, and risk management. Artificial Intelligence (AI)-enabled analytics has emerged as a transformative solution, offering real-time data-driven insights to enhance decision-making and improve project outcomes. This paper explores the integration of AI in project management for oil and gas infrastructure, emphasizing how predictive analytics, machine learning, and optimization algorithms bridge the gap between raw data and actionable decisions. Key challenges in oil and gas infrastructure projects include managing vast amounts of unstructured data, mitigating risks in dynamic operational environments, and aligning projects with sustainability goals. AI-enabled analytics addresses these challenges by automating data processing, identifying patterns, and generating actionable insights. This study proposes a comprehensive framework for implementing AI-driven analytics in project management, focusing on resource allocation, scheduling, and risk mitigation. The framework also incorporates predictive models to forecast potential delays, cost escalations, and equipment failures, enabling proactive interventions. Case studies highlight the successful application of AI-enabled analytics in major oil and gas projects, demonstrating significant improvements in operational efficiency, cost control, and safety compliance. The use of AI tools such as digital twins, natural language processing (NLP) for document management, and computer vision for site monitoring is discussed, showcasing tangible benefits in reducing downtime and optimizing resource utilization. This paper concludes by addressing future trends, including the integration of AI with the Internet of Things (IoT) for real-time project monitoring, the role of generative AI in designing project workflows, and advancements in autonomous decision-making systems. These developments have the potential to redefine project management in the oil and gas industry, enabling organizations to navigate challenges with greater agility and precision.