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Evaluation of hydraulic tomography and data integration for improved estimates of subsurface hydraulic parameters

Evaluation of hydraulic tomography and data integration for improved estimates of subsurface hydraulic parameters
评估水力层析成像和数据集成,以改进地下水力参数的估计
批准号:
446512-2012
负责人:
Illman, Walter
金额:
$1.63万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
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英文摘要
Hydraulic tomography (HT) is rapidly emerging as a new field technology to image the subsurface heterogeneity for both hydraulic conductivity (K) and specific storage (Ss). In particular, HT involves (1) conducting sequential aquifer hydraulic tests over a well network and (2) jointly analyzing the complete data set to obtain a consistent interpretation of the K and Ss distributions and to systematically reduce the associated uncertainties. Prior research has shown that HT data inherently contain more information than single well pumping tests and the joint interpretation method is superior to conventional data analysis methods in delineating the heterogeneities. However, a recent study (e.g., Berg and Illman, 2011b) suggests that HT requires further research and development to image highly heterogeneous porous media. The overall goal of this project is to develop a HT at the University of Waterloo (UW) in partnership with AMEC Enviroment and Infrastructure, one of the world's leading engineering, project management, and consultancy companies. Specific objectives are: 1) to demonstrate that HT is superior to conventional methods for estimating spatial distribution of hydrogeologic properties (i.e., K and Ss); 2) to investigate whether HT results can yield finer scale details to heterogeneity through the fusion of complementary geological/geophysical data; 3) to develop guidance for HT field implementation and compare costs associated with HT and conventional methods; 4) to explore the utility of HT technology in the Canadian market; and 5) to train highly qualified personnel (HQP). The main benefit from this project that is expected to accrue to the Canadian industry, the UW, and the discipline is the development of a new method to delineate subsurface heterogeneity in hydraulic parameters. This should lead to improved reliability of groundwater flow and transport models and better designs for: 1) groundwater extraction and storage (e.g., Aquifer Storage & Recovery operations); 2) groundwater remediation; 3) fossil fuel extraction; 4) waste disposal sites; 5) in situ metal leaching with acids, etc.
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Data Integration to Significantly Improve Hydraulic Tomography and Groundwater Modelling in Complex Geologic Media
  • 批准号:
    RGPIN-2017-03859
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.93万
  • 财政年份:
    2021
  • 负责人:
    Illman, Walter
  • 依托单位:
Data Integration to Significantly Improve Hydraulic Tomography and Groundwater Modelling in Complex Geologic Media
  • 批准号:
    RGPIN-2017-03859
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2020
  • 负责人:
    Illman, Walter
  • 依托单位:
Data Integration to Significantly Improve Hydraulic Tomography and Groundwater Modelling in Complex Geologic Media
  • 批准号:
    RGPIN-2017-03859
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2019
  • 负责人:
    Illman, Walter
  • 依托单位:
Data Integration to Significantly Improve Hydraulic Tomography and Groundwater Modelling in Complex Geologic Media
  • 批准号:
    RGPIN-2017-03859
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2018
  • 负责人:
    Illman, Walter
  • 依托单位:
国内基金
海外基金
High-precision force-reflected bilateral teleoperation of multi-DOF hydraulic robotic manipulators
  • 批准号:
    52111530069
  • 项目类别:
    国际(地区)合作与交流项目
  • 资助金额:
    10万元
  • 批准年份:
    2021
  • 负责人:
    徐兵
  • 依托单位: