通过数据挖掘分析,改进了孔结构特征和强基质砂岩的分类,在塔忠地区,塔林盆地
Feng Tian1,2, Xidong Wang1,2, Xinyi Yuan1,2
1School of Geological and Mining Engineering, Xinjiang University, Urumqi, Xinjiang, China.
PloS one
|August 27, 2024
概括
这项研究建立了一种数据驱动的方法来分类塔忠地区的复杂砂岩孔状结构. 精确的孔隙结构分类可以提高对石油和天然气分布和回收的预测.
科学领域:
- 地质地质地质地质地质地
- 石油地质科学 石油地质科学
- 沉积物学的沉积物学
背景情况:
- 塔忠的丝纪水库表现出异质性,这是由于广泛的交代.
- 复杂的孔隙结构显著影响流体流动和碳化合物分布.
- 准确的孔隙特征对于水库评估至关重要.
研究的目的:
- 开发一个可靠的方案来描述和分类在基因改变的水库中的砂岩孔结构.
- 用数据挖掘技术建立一个孔隙结构分析的管道.
- 为了提高预测石油和天然气储库属性和回收.
主要方法:
- 使用了314个注射毛细体压力 (MICP) 样本.
- 结合MICP数据与核心和薄截面分析.
- 应用层次聚类,主要组件分析 (PCA),决策树和线性差异分析 (LDA) 用于数据挖掘和分类.
主要成果:
- 确定了影响毛孔结构的三个关键变量组:基于半径的,基于微观系数的和基于位移压力的.
- 开发和验证了6个孔状结构的组合分类方案.
- LDA分析显示了低,中,高位移压力不同的集群.
结论:
- 建立的孔隙结构分类方案准确地描述了复杂的砂岩水库.
- 这种方法改善了孔隙类型的预测,这对于石油和天然气勘探和生产至关重要.
- 提高孔隙结构的理解有助于更好地预测石油和天然气的回收.
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