CAJ | 학술논문

石油烃分子组成是目前石油炼制和加工过程中重要数据，通过易得的宏观物性对分子组成进行预测可以为石油加工过程提供良好的参考。对国内外石油烃分子组成的主要预测方法随机重构方法，熵最大化法，蒙特卡洛模拟方法，MTHS矩阵法等方法进行了介绍，对其特点与不足进行了讨论，并对未来的发展方向进行了展望。
석유경분자조성시목전석유련제화가공과정중중요수거，통과역득적굉관물성대분자조성진행예측가이위석유가공과정제공량호적삼고。대국내외석유경분자조성적주요예측방법수궤중구방법，적최대화법，몽특잡락모의방법，MTHS구진법등방법진행료개소，대기특점여불족진행료토론，병대미래적발전방향진행료전망。
The molecules composition of petroleum hydrocarbon is important data in petroleum refining and processing. According to the bulk properties obtained molecules predicted, it can provide a good reference for the petroleum processing. Summarizes the main method of predicted petroleum hydrocarbon molecules composition, such as Stochastic Reconstruction, Entropy Maximum, Monte Carlo Simulation, Molecular Type Homologous Series, Analyzes the characteristics and shortcomings of these methods, and discusses the direction of development on the future.