通过NMR获得的液压导电性与各种液压测试方法的比较
Chenxi Wang, Colby M Steelman1, Zeren Ning1
1Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
Ground water
|September 8, 2025
概括
钻孔核磁共振 (NMR) 记录可靠地估计异质冰川河流沉积物中的液压导电性 (K). 科泽尼-戈德弗洛伊模型显示出最佳性能,为水文地质评估提供了有价值的见解.
科学领域:
- 地质物理学 地质物理学
- 水文地质学 水文地质学
- 石化物理学 石化物理学
背景情况:
- 钻孔核磁共振 (NMR) 是估计未结合材料中的液压导电性 (K) 的一个有价值的工具.
- 现有的石化物理模型需要优化特定站点的常数来准确地预测K.
- 高度异质的冰川河流沉积物对传统的液压导电性评估提出了挑战.
研究的目的:
- 评估NMR日志在异质冰川河流沉积物中估计液压导电性 (K) 的实用性.
- 将NMR衍生的K估计与多种液压测试方法的测量进行比较.
- 评估四种不同的NMR石质模型 (SDR,Seevers,SOE,KGM) 的性能.
主要方法:
- 在NMR日志上应用了四种NMR石化物理模型 (SDR,Seevers,SOE,KGM).
- 优化模型常量使用基于介面的液压导电性 (K) 测量.
- 将NMR衍生的K档案与同位置的液压测试数据进行比较 (透米,多层,HPT).
主要成果:
- 核磁共振记录为交叠的沙子/石,泥土和粘土层提供了可靠的K估计.
- 从NMR衍生出的K档案成功地绘制了含水层和水族群的趋势和大小.
- NMR衍生和液压测试K之间的定量一致性在一个数量级之内.
- 科泽尼-戈德弗洛伊 (KGM) 模型表现出最佳性能,特别是基于的K数据.
结论:
- 核磁共振记录是评估复杂的冰川和河流环境中的液压导电性的可行方法.
- 由于在这些沉积物中可靠的性能,建议使用科泽尼-戈德弗洛伊 (KGM) 模型.
- 优化的NMR模型为水文地质特征和地点评估提供了宝贵的见解.
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