大模型技术在炼油化工生产优化中的应用研究与实践

摘要/Abstract

摘要： 大模型技术是驱动炼油化工行业向“零碳、高效、智能”转型的核心技术引擎，其多模态整合、数据驱动决策与动态优化能力可破解行业全链条管控的痛点难题。为明确大模型技术对行业转型的适配性与赋能路径，系统梳理其从理论奠基到场景深化的三阶段演进历程，重点剖析其在安全生产、生产优化、设备维护等核心环节的技术落地逻辑与价值创造机制，结合行业典型案例和大模型在中石油云南石化有限公司（云南石化）的应用实践，量化分析了大模型的降本增效成效；进而聚焦云南石化的业务痛点，深入分析了大模型技术在云南石化原油采购、装置加工、设备防腐等七大关键场景的智能化优化应用前景。综合大量研究结果可知，大模型技术通过重构行业决策与管控范式，可有效提升企业运营效率与风险管控能力，为炼油化工行业智能化转型提供技术支撑与范式创新。

关键词: 大模型技术, 炼油化工, 智能化转型, 生产全流程管控, 降本增效

Abstract: Large model technology serves as the core technical engine driving the transformation of the refining and chemical industry toward "zero-carbon, efficient, and intelligent" development. Its capabilities in multi-modal integration, data-driven decision-making, and dynamic optimization can address the pain points and challenges in the full-chain management and control of the industry. To clarify the adaptability and empowerment path of large model technology for the industry's transformation, this paper systematically sorts out its three-stage evolution from theoretical foundation to scenario deepening, focuses on analyzing the technical implementation logic and value creation mechanism of large model technology in core links such as safe production, production optimization, and equipment maintenance, quantitatively evaluates the cost reduction and efficiency improvement effects of large models combined with typical industry cases, and centers on the business pain points of PetroChina Yunnan Petrochemical Company. Furthermore, it puts forward intelligent optimization schemes for key scenarios including crude oil procurement, unit processing, and equipment anti-corrosion, as well as prospects for digital twin projects. The research shows that large model technology can effectively improve operational efficiency and risk management capabilities by reconstructing the industry's decision-making and management paradigms, thereby providing technical support and paradigm innovation for the intelligent transformation of the refining and chemical industry.

Key words: large model technology, refining and chemical industry, intelligent transformation, full-process production management, cost reduction and efficiency improvement

郑万鹏蒋国权胡锦原金永峰杜雨坤苏杉马月锋. 大模型技术在炼油化工生产优化中的应用研究与实践[J]. 石油炼制与化工, 2026, 57(5): 102-113.

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