人工智能技术在本科石油专业实践教学中的应用

Application of Artificial Intelligence Technology in Practical Teaching of Undergraduate Petroleum Majors

摘要: 随着能源行业智能化转型加速，石油工程人才培养面临新挑战与新机遇。传统石油专业实践教学存在内容滞后、资源有限、模式单一等问题，难以满足智能油田建设对复合型人才的需求。人工智能技术为石油专业实践教学改革提供了新路径，但实际应用中仍面临诸多瓶颈。文章系统梳理AI在石油专业实践教学中的四大应用场景，从教学内容、资源条件、师资能力、协同机制、评价体系五大维度剖析深层瓶颈，构建“内容–平台–师资–机制–评价–保障”六位一体突破路径。研究表明，AI技术可显著降低实践成本与安全风险、提升教学效率与覆盖度、强化数据思维与工程创新能力，但存在专业与AI融合不足、资源供给匮乏、跨学科师资短缺、校企协同浅层化、评价机制滞后等问题。文章提出的系统化改革方案，可推动人工智能与石油专业实践教学深度融合，为高校石油工程专业教学改革、智能油田人才培养提供理论参考与实践指引。

Abstract: Against the accelerated intelligent transformation of the energy industry, petroleum engineering talent development is confronted with new challenges and opportunities. Traditional practical teaching of petroleum majors suffers from outdated content, limited resources, and monotonous modes, which fails to meet the demand for interdisciplinary talents required by intelligent oilfield construction. Artificial intelligence (AI) offers a new approach to the reform of practical teaching in petroleum majors, yet numerous bottlenecks remain in practical application. This paper systematically sorts out four application scenarios of AI in practical teaching of petroleum majors, analyzes deep-seated bottlenecks from five dimensions—teaching content, resource conditions, faculty capacity, collaboration mechanism, and evaluation system—and constructs a six-in-one breakthrough pathway covering “content, platform, faculty, mechanism, evaluation, and guarantee”. Studies show that AI technology can significantly reduce practical costs and safety risks, improve teaching efficiency and coverage, and strengthen data thinking and engineering innovation ability. However, prominent problems include insufficient integration of petroleum expertise and AI, scarce resource supply, shortage of interdisciplinary teachers, superficial university-enterprise collaboration, and backward evaluation mechanisms. The systematic reform scheme proposed in this paper can promote the deep integration of artificial intelligence and practical teaching in petroleum majors, providing theoretical reference and practical guidance for the teaching reform of petroleum engineering majors in universities and the cultivation of talents for intelligent oilfields.