原油密度预测和可视化通过CLSM光光谱学结合化学测量方法
Wenjie Yang1, Tiefeng Lin2, Jinyou Zhang2
1Northeast Petroleum University Institute of Unconventional Oil and Gas, Heilongjiang, Daqing, Daqing, Heilongjiang, 163318, China.
Methods and applications in fluorescence
|February 20, 2026
概括
这项研究引入了一种新的方法,用于在微观尺度上绘制原油密度,使用聚焦激光扫描显微镜 (CLSM) 和光谱学. 该方法提供了高分辨率的,在地质样本中的非破坏性密度测量.
科学领域:
- 地质化学 地质化学
- 分析化学 分析化学
- 石油地质科学 石油地质科学
背景情况:
- 准确的原油密度测定对于储库表征和资源评估至关重要.
- 传统的批量测量方法缺乏空间分辨率来捕捉复杂的地质矩阵中的异质性.
- 微观分析是必要的,以了解由分子组成和孔隙结构影响的密度变化.
研究的目的:
- 为量化原油密度绘制开发和验证一个计量学上可追溯的微尺度测量框架.
- 为此目的,将共聚焦激光扫描显微镜 (CLSM),光光谱和化学建模集成在一起.
- 建立一种非破坏性,高分辨率的方法,用于在地质样本中空间分辨密度的确定.
主要方法:
- 使用CLSM和光光谱 (488nm激发,500-794nm发射) 来分析来自利亚奥盆地的33个原油样本.
- 频谱数据预处理,包括基线校正,平滑和正常化.
- 使用支向量回归 (SVR) 和部分最小平方回归 (PLSR) 进行化学测量建模,通过主要组件分析 (PCA) 和Hotelling的T2消除异常值后.
- 开发一个独立的桌面工具,用于光谱导入,处理和密度可视化.
主要成果:
- 支持向量回归 (SVR) 实现了高精度,校准R2_cal为0.968和预测R2_pre为0.955.
- 波长为737纳米的波长显示了与芳香和青含量 (r = 0.748) 最强的相关性,将分子组成与密度联系起来.
- 在CLSM光谱图像上使用SVR模型生成的微尺度密度图显示了与样本组成一致的异质性.
结论:
- 集成的CLSM-光谱化学测量框架为原油密度的确定提供了一种可重复和空间分辨率的方法.
- 这种非破坏性的方法克服了批量测量的局限性,在复杂的地质矩阵中推进了测量科学.
- 开发的工具促进了分析光谱数据和可视化微尺度密度变化的实际应用.
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