Joint estimates of permeability using complex resistivity and proton nuclear magnetic resonance

使用复电阻率和质子核磁共振联合估计渗透率

• 批准号: 1246507
• 负责人: Kristina Keating
• 金额: $ 37.97万
• 依托单位: Rutgers University Newark
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1246507&HistoricalAwards=false
• 关键词: Joint; estimates; permeability; using; complex

Modeling the flow of groundwater is fundamental for understanding the quantity of water available for human use, and the movement of chemicals, such as carbon, underground, into streams, and into the atmosphere. Accurate groundwater models require an understanding of the properties of soils and rocks that affect the flow of water (i.e. the permeability). Permeability is traditionally measured directly by inducing groundwater flow using pumping, slug, or packer tests; however, these methods can be limited by small measurement volumes and require the existence of wells. Indirect estimates of permeability based on geophysical techniques benefit from relatively short measurement times, do not require fluid extraction, and are non-invasive when made from the surface (or minimally invasive when made in a borehole). However, estimates of permeability based on a single geophysical method often require calibration for rock type, and cannot be used to determine all of the physical properties required to accurately determine permeability. This research focuses on developing an innovative method for estimating permeability based on the synergistic coupling of two complementary geophysical methods - complex resistivity (CR) and nuclear magnetic resonance (NMR) - aimed at providing a robust and minimally-invasive determination of permeability at the watershed scale.The proposed research will use a combination of mechanistic model development, laboratory measurements, and field measurements to develop a permeability model based on CR and NMR parameters. The model and measurements will be tested at the Christina River Basin, an NSF funded Critical Zone Observatory (CRB-CZO), in which the accuracy of groundwater models has been limited by complex spatial variation in subsurface permeability. This research represents a critical step towards the development of joint NMR/CR measurements to obtain spatially dense information about permeability that will improve the quantitative characterization of groundwater flow.

模拟地下水的流动对于了解人类可用的水量以及化学物质（如碳）在地下进入河流和进入大气的运动至关重要。准确的地下水模型需要了解影响水流的土壤和岩石的性质（即渗透性）。传统上，渗透率是通过使用泵送、段塞或封隔器测试诱导地下水流来直接测量的;然而，这些方法可能受到小测量体积的限制，并且需要存在威尔斯。基于地球物理技术的渗透率的间接估计受益于相对较短的测量时间，不需要流体提取，并且当从表面进行时是非侵入性的（或当在钻孔中进行时是最小侵入性的）。然而，基于单一地球物理方法的渗透率估计通常需要针对岩石类型进行校准，并且不能用于确定准确确定渗透率所需的所有物理性质。本研究的重点是开发一种基于两种互补的地球物理方法-复电阻率（CR）和核磁共振（NMR）-的协同耦合的渗透率估计创新方法，旨在提供流域尺度渗透率的鲁棒和微创测定。拟议的研究将使用机械模型开发，实验室测量，和现场测量，以开发基于CR和NMR参数的渗透率模型。模型和测量结果将在克里斯蒂娜河流域进行测试，这是一个由NSF资助的临界区观测站（CRB-CZO），地下水模型的准确性受到地下渗透率复杂空间变化的限制。这项研究是一个关键的一步，联合NMR/CR测量的发展，以获得空间密集的信息渗透性，这将提高地下水流的定量表征。