基于入试验的岩石核心的多元分类
Jinsui Wu1,2, Ying Li3, Ping Ji4
1Department of Management Science and Engineering, Khalifa University, Abu Dhabi, United Arab Emirates. jinsui_wu@126.com.
Scientific reports
|October 7, 2025
概括
多分体分析有效地根据孔隙结构和复杂性对石灰岩和煤炭样品进行分类. 这种方法增强了储量评估,并有助于区分能源勘探的煤炭等级.
科学领域:
- 地质地质地质地质地质地
- 石化物理学 石化物理学
- 地质化学 地质化学
背景情况:
- 核心分类对于水库评估,石油/天然气勘探,煤床甲开发和地下水评估至关重要.
- 了解孔隙结构的异质性是描述非传统能源的关键.
研究的目的:
- 应用多分体分析来分类石灰岩和煤核样本.
- 量化评估毛孔系统异质性和层次结构.
主要方法:
- 在石灰岩和煤炭样本上进行了高压入侵 (HPMI) 实验.
- 对从HPMI数据中得出的毛细血管压力曲线进行了多分片分析.
主要成果:
- 多分法参数 (α0-αmin,f(α0) -f(αmin)) 根据透性和孔隙结构有效地分类了石灰岩.
- 参数 (α0,D0,Δτ,α0-αmin,f(α0) -f(αmin)) 通过反映孔的复杂性和连接性来区分煤炭等级.
- 该方法从数量上捕获了孔隙系统的异质性和层次结构.
结论:
- 多分法分析为细度水库表征提供了一个强大的框架.
- 这种方法为非传统能源系统的核心分类提供了一种新方法.
- 这些发现支持改善水库评估和资源评估.
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