Using Multiple Gravimeters to Test Conceptual Models of Subsurface Flow

使用多个重力计测试地下流的概念模型

• 批准号: 1246619
• 负责人: Paul Ferre
• 金额: $ 12.73万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1246619&HistoricalAwards=false
• 关键词: Using; Multiple; Gravimeters; Test; Conceptual

Two fundamental problems in groundwater hydrology are the need to locate and track subsurface water, and to identify subsurface properties that facilitate model predictions. These needs have led to the development of a wide range of data collection and interpretation methods. Among all of these methods, only one-time lapse gravity monitoring provides direct measurements of changes in the mass of water in storage. Recent advances in gravimeters allow for collection of spatially distributed, temporally continuous gravity data. To make full use of the data that these instruments provide requires the development of new approaches to coupled hydrologic/gravity modeling. Under this project, an extensive pre-existing gravity data set, collected at a water storage and recovery facility, will be modeled to develop and improve hydrogravimetric modeling approaches. Then, a spatially extensive data collection effort will be conducted based on these analyses to refine our interpretations of subsurface water movement beneath the storage and recovery facility. The proposed research is at the forefront of the continuing evolution of integrating geophysical data with models and has wide applications in fields needing to tracking and modeling subsurface fluid movement, such as hydrology, but also including oil and gas reservoir monitoring, carbon sequestration, and volcano monitoring. The project will demonstrate that a new, superconducting gravimeter, which is the most precise instrument in existence, can be moved without affecting instrument drift, allowing for mobile monitoring with this advanced instrument. The proposed research supports student training specifically to develop the expertise in the use of these instruments within the United States.

地下水水文学的两个基本问题是需要定位和跟踪地下水，以及识别有助于模型预测的地下特性。这些需求导致了广泛的数据收集和解释方法的发展。 在所有这些方法中，只有一次性重力监测可以直接测量储存水量的变化。重力仪的最新进展允许收集空间分布、时间连续的重力数据。为了充分利用这些仪器提供的数据，需要开发新的水文/重力耦合建模方法。在该项目下，将对在水储存和回收设施中收集的广泛的现有重力数据集进行建模，以开发和改进水文重力建模方法。 然后，将根据这些分析进行广泛的空间数据收集工作，以完善我们对储存和回收设施下方地下水运动的解释。 所提出的研究处于将地球物理数据与模型相结合的持续发展的最前沿，并且在需要跟踪和建模地下流体运动的领域具有广泛的应用，例如水文学，但也包括油气藏监测、碳封存和火山监测。该项目将证明新型超导重力仪是现有最精确的仪器，可以在不影响仪器漂移的情况下移动，从而可以使用这种先进仪器进行移动监测。拟议的研究支持学生培训，专门培养在美国使用这些仪器的专业知识。