Abstract:

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.

Key words: AI, engineering construction, assessment methodology, high-level design

摘要：

在全球能源格局调整与科技革命深度融合背景下，油气工程建设面临效率、质量、成本及安全环保等多重挑战。人工智能（artificial intelligence，AI）技术以其强大的数据解析、智能决策、自主执行能力，为破解这些难题提供了新的技术路径。本文通过总结分析人工智能在油气工程建设领域的探索实践，提出了人工智能应用场景评估的具体做法，围绕“价值、成本、风险、数据、技术、保障”6个维度构建了油气工程建设人工智能应用场景评估方法，形成了“AI+工程建设”应用场景的顶层设计方案和实施路径，为“AI+工程建设”指明了重点方向，推动人工智能赋能企业高质量发展。

关键词: 人工智能, 工程建设, 场景评估方法, 顶层设计