AI Empowers The Construction and Teaching Reform of Oil and Gas Field Chemistry Courses

Yongfei Li; Qian Wang; Xi Li; Dengmeng Song; Gang Chen

doi:10.6918/IJOSSER.202505_8(5).0050

Authors

Yongfei Li
Qian Wang
Xi Li
Dengmeng Song
Gang Chen

DOI:

https://doi.org/10.6918/IJOSSER.202505_8(5).0050

Keywords:

Oil and gas field chemistry; AI empowerment; Teaching reform; Simulation; Intelligent evaluation.

Abstract

This article explores the application paths of artificial intelligence (AI) technology in curriculum system reconstruction, teaching mode innovation, and practical optimization, based on the characteristics of oil and gas field chemistry courses and industry demands. By constructing an AI-driven 'three-stage progressive' teaching model, designing a virtual-reality integrated experimental teaching system, developing an intelligent evaluation and feedback mechanism, and achieving a deep integration of knowledge imparting, ability cultivation, and thinking inspiration, this article provides innovative solutions for the cultivation of chemical engineering talents in the oil and gas fields in the new era.

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