Abstract

The oil and gas supply chain encompasses multiple links, and its optimisation is transforming into intelligent, sustainable development. Considerable research has been conducted to reduce carbon emissions and environmental effects while reducing operational costs and promoting green supply chain management. This paper details process-integration methods (e.g. Pinch Analysis and mathematical programming methods), introduces and summarises common tools, analyses problem considerations, constructs models and solution algorithms, and summarises the results in similar fields. The study found that the optimisation of this supply chain should consider multiple objectives, including economics, environmental effects and social aspects and emphasise the importance of supply and demand balance, cost optimisation and sustainability. Future research should develop efficient algorithms to solve complex optimisation problems and incorporate big data and real-time monitoring technology to enhance system resilience and adaptability. Synergistic interdisciplinary research promotes new methods and technology for sustainable development in the oil and gas industry.