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使用集成石化物理数据分析来推导异质性指数的实用方法

Vali Mehdipour¹, Ahmad Reza Rabbani², Ali Kadkhodaie³

¹Department of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran.

Scientific reports

|March 3, 2025

概括

这项研究引入了使用石化物理日志测量水库异质性的新方法,如孔隙性和透性倾斜性,而不需要核心样本. 这些新型指标有效地描述了水库属性,以便更好地管理油田.

科学领域:

地质科学地质科学
石油工程是石油工程中的一个.
储水池的表征储水池的表征

背景情况:

水库异质性对碳化合物回收和生产战略产生重大影响.
精确量化异质性对于有效的水库管理和模拟至关重要.
传统方法通常依赖于核心数据,这些数据可能稀缺且昂贵.

研究的目的:

量化和评估萨尔瓦克水库水库异质性的各种指标.
探索传统异质性指数与日志衍生参数之间的关系.
引入新的基于日志的指标来评估水库异质性.

主要方法:

石化物理日志的分析,包括全孔形成微图像仪 (FMI) 的日志.
计算异质性指标,如孔隙性和透性的斜率,变形学和排序指数.
这些指数与其余油 (S_or) 和储库质量指数 (RQI) 等参数的相关性.

主要成果:

孔隙性和透性的曲性是异质性的重要指标.
变异谱范围与透度的变化系数 (CV) 有正相关.
来自FMI的排序指数显示与孔隙性CV的高相关性.
速度偏差日志 (VDL) 和剩余油 (S_or) 与孔隙的CV呈现反向关系.

结论:

新的指数,包括斜率和FMI排序指数,有效地描述了水库异质性.
在缺乏核心数据的情况下,可以利用石化物理日志来评估水库异质性.
这些发现为水库的表征和管理提供了有价值的工具,使用易于获得的日志数据进行管理.

关键词:

变化系数的变化系数.迪克斯特拉帕森斯 (DykstraParsons) 是一个著名的作家.异质性异质性异质性洛伦茨·洛伦茨 (Lorenz Lorenz) 是一个萨尔瓦克水库是萨尔瓦克的水库.这是一种曲的态度.

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