一个新的多学科的原油分类方法,基于青的结构特征的原油分类
Hashem Sarafdokht1, Ahmad Reza Rabbani2, Morteza Asemani3
1Department of Petroleum and Geo-Energy Engineering, Amirkabir University of Technology, Tehran, Iran.
Scientific reports
|December 30, 2025
概括
这项研究引入了一种用于原油分类的新型化学测量方法,利用青的结构特征. 这种创新方法成功地将93个原油样本分成9个不同的类别,帮助上游和下游行业.
科学领域:
- 石油地质化学 石油地质化学
- 化学测量 化学测量 化学测量
- 多变量数据分析 多变量数据分析
背景情况:
- 原油的异质性需要有效的分类,以优化生产和炼油.
- 传统的分类方法通过专注于特定特征而忽视其他特征而受到限制.
- 多学科的方法对于全面的原油表征至关重要.
研究的目的:
- 开发和验证一种创新的化学测量方法,以进行可靠的原油分类.
- 为了利用青烯的结构特征,改进原油分组.
- 为石油行业的上游和下游提供有价值的见解.
主要方法:
- 里埃变换红外光谱法 (FTIR) 的阿斯法尔烯.
- 修改的移动窗口相关系数 (MMWCC) 用于不相似性矩阵构造.
- 多维缩放 (MDS) 用于数据可视化.
- 用于样本分组的等级集群分析 (HCA).
主要成果:
- 从阿斯马里水库取出93个原油样本,成功将其分为9个不同的组.
- 确定导致观察到原油异质性的青原料来源.
- 通过互补分析 (XRD,ICP-OES) 验证九个石油集团.
结论:
- 综合MMWCC-MDS-HCA方法为原油分类提供了一种高效,具有成本效益和多学科的解决方案.
- 青结构分析为区分原油类型提供了强大的基础.
- 这种新的分类方法提高了石油行业的理解和决策.
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