人工智能在炼化生产装置腐蚀风险预测中的应用及展望  

Application and prospect of artificial intelligence in corrosion risk prediction of refining and petrochemical unit

作　　者：喻灿 关庆林 YU Can;GUAN Qinglin(Shanghai Anchor Technology Co.,Ltd.,Shanghai 200237,China;Sinochem Shandong Changyi Petrochemical Co.,Ltd.,Weifang 261300,China)

机构地区：[1]上海安恪技术股份有限公司,上海200237 [2]中国中化山东昌邑石化有限公司,山东潍坊261300

出　　处：《石油化工腐蚀与防护》2025年第1期41-45,共5页Corrosion & Protection In Petrochemical Industry

摘　　要：近年来,加工劣质化原油给炼化企业带来巨大社会效益和经济效益的同时,也导致炼化装置的腐蚀环境更为复杂,难以摸清其腐蚀规律并制定准确的工艺防腐控制措施。为了应对这些挑战,人工智能(AI)技术利用先进的学习和预测能力,为腐蚀预测和管理提供了一种非常有效的方法。该文通过算法介绍和案例分析,展示了人工智能如何进行腐蚀预测;还介绍了利用人工智能进行炼化及生产装置工艺系统腐蚀预测的方法步骤,强调了其优势、挑战及未来的前景。通过集成人工智能技术,炼油厂可以预测腐蚀并优化腐蚀控制策略,保障装置安全运行。In recent years,processing inferior crude oil has brought huge social and economic benefits to refining and petrochemical enterprises,but it also has led to a more complex corrosion environment,making it difficult to understand the corrosion mechanism and develop accurate process anti-corrosion measures.To address these challenges,artificial intelligence(AI)technology,with its advanced learning and predictive capabilities,is utilized to provide a highly effective approach for corrosion prediction and management.Through algorithm introduction and case analysis,it is demonstrated how artificial intelligence can perform corrosion prediction.And the steps of using artificial intelligence for corrosion prediction of refining unit are also introduced,as well as its advantages,challenges,and future prospects.By integrating artificial intelligence technology,corrosion can be predicted and corrosion control strategies can be optimized to ensure the safe operation of the unit.

关 键 词：人工智能 腐蚀预测 炼化装置 机器学习 

分 类 号：TE986[石油与天然气工程—石油机械设备] TP18[自动化与计算机技术—控制理论与控制工程]