Under the backdrop of deep integration between global energy landscape restructuring and the technological revolution, oil and gas engineering construction faces multiple challenges in efficiency, quality, cost, safety and environmental protection. Artificial intelligence (AI) with its powerful capabilities in data analysis, intelligent decision-making and autonomous execution offers a new technological pathway to address these challenges. This paper summarized and analyzed exploratory practices of AI in the field of oil and gas engineering construction. It proposed specific approaches for evaluating AI application scenarios and established an assessment methodology centered on six dimensions: "Value, Cost, Risk, Data, Technology and Support." Furthermore, it formulated a high-level design and implementation pathway for "AI+Engineering Construction" application scenarios, identified key focal directions for "AI+Engineering Construction" and aimed to promote AI-driven high-quality development of enterprises.