RUI: Predicting Transport Through Heterogeneous Facies Assemblages: Geostatistical Anatomy of Buried-Valley Aquifers III

RUI：通过非均质相组合预测输运：埋谷含水层 III 的地统计解剖

• 批准号: 9903067
• 负责人: Robert Ritzi
• 金额: $ 11.2万
• 依托单位: Wright State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-01 至 2002-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9903067&HistoricalAwards=false
• 关键词: RUI; Predicting; Transport; Through; Heterogeneous

9903067RitziThese research tests the hypothesis that similarities exist in the physical heterogeneity among granular aquifers formed by similar depositional environments. The physical heterogeneity of aquifers can be represented within a three-dimensional geostatistical model that represents both its structured and random aspects. Because the subsurface at environmental sites is never exhaustively characterized, decisions must be made under uncertainty and risk-qualified models are needed. Useful statistical models of aquifer heterogeneity will only come from many well-studied examples at data-rich sites, in a variety of depositional environments. Our long-term research goal is to develop statistical models for the most relevant features of the heterogeneity in granular aquifer systems in specific depositional setting and to evaluate the level of detail necessary in simulating macrodispersive transport. We have begun by looking at glacigenic buried-valley aquifers in the North American mid-continent. These have heterogeneity ranging across several scales, from unimodal distributions of permeability within facies, to weakly multimodal distributions of permeability within architectural elements, to strongly multimodal heterogeneity at the scale of facies assemblages. The objective of the project are to build data bases and compute facies proportions, variance in proportion with translation, mean length, variance in length, coefficient of embeddedness and transition probability. Furthermore, we compute the geometric mean, variance, and correlation range of permeability within facies. We refer to these statistics collectively, when related to features of the depositional environment, as a quantitative facies model. We will compare quantitative facies models developed for four different buried-valley aquifers occurring across a broad region of the mid-continent. Flow and transport modeling will be used to assess whether or not observed differences are relevant in environmental decision making. This is an RUI proposal, and as in prior phases of funding, the project will have significant undergraduate involvement.

9903067Ritzithese研究检验了以下假设：在相似沉积环境形成的颗粒状含水层之间存在相似之处。 含水层的物理异质性可以在三维的地统计模型中表示，该模型既代表其结构化和随机方面。 由于环境站点的地下永远不会详尽地表征，因此必须在不确定的情况下做出决策，并且需要进行风险资格的模型。 含水层异质性的有用统计模型只能来自多种沉积环境中数据丰富的示例。 我们的长期研究目标是在特定的沉积环境中为颗粒含水层系统中最相关特征开发统计模型，并评估模拟巨型分散性传输所需的细节水平。 我们已经开始查看北美中大陆的冰川埋藏式瓦利含水层。 这些具有多种尺度的异质性，从相机内的渗透性的单峰分布到建筑元素内渗透性的弱多模态分布，再到相应集合的尺度上强烈的多峰异质性。 该项目的目的是建立数据库和计算相比例，与翻译，平均长度，长度差异，嵌入性系数和过渡概率成比例。 此外，我们计算相应内渗透性的几何平均值，方差和相关范围。 当与沉积环境的特征相关时，我们将这些统计数据作为定量相模型。 我们将比较为在中大陆广阔地区发生的四个不同的埋藏式含水层开发的定量相模型。 流量和运输建模将用于评估观察到的差异是否与环境决策相关。 这是一个RUI的提议，就像在资金的先前阶段一样，该项目将具有重大的本科参与。