首页> 外文学位 >Improvements in near-surface geophysical applications for hydrogeological parameter estimation.
【24h】

Improvements in near-surface geophysical applications for hydrogeological parameter estimation.

机译:用于水文地质参数估算的近地表地球物理应用的改进。

获取原文
获取原文并翻译 | 示例

摘要

One application of near-surface geophysical techniques is the hydrogeological parameter estimation. Hydrogeological estimated parameters such as volumetric water content, porosity, and hydraulic conductivity are useful in predicting groundwater flow. Therefore, any improvements in the field acquisition and data processing of the geophysical data will provide better results in estimating these parameters. This research examines the difficulties associated with processing and attribute analyses with shallow seismic P-wave reflection data, the application of the empirical mode decomposition (EMD) as a processing tool for ground-penetrating radar (GPR), and the use of GPR as tool in the assessment of bank filtration. Near-surface seismic reflection data are difficult to process because of the lack of reflections in the shot gathers; however, this research demonstrated that the application of certain steps such F-k filtering and velocity analysis can achieve the desired result, a more robust geologic model. The EMD technique was applied (removal of the WOW noise) to processing steps for GPR data in estimating hydrogeological parameters by providing significant stability during the calculation of dielectric constants. GPR techniques are widely known and diverse, but one rather different application of the GPR was to assess the suitability of bank filtration at a site in South Carolina. Finally, a multi-attribute analysis approach, a rather new application for near-surface seismic data, was used in predicting porosity from well logs and seismic data.
机译:近地表地球物理技术的一种应用是水文地质参数估计。诸如体积水含量,孔隙率和水力传导率之类的水文地质估计参数可用于预测地下水流量。因此,对地球物理数据进行现场采集和数据处理方面的任何改进都会在估算这些参数方面提供更好的结果。这项研究探讨了与浅地震P波反射数据的处理和属性分析相关的困难,经验模态分解(EMD)作为探地雷达(GPR)的处理工具的应用以及GPR作为工具的应用在评估银行过滤。由于炮弹中缺乏反射,近地表地震反射数据难以处理。但是,这项研究表明,某些步骤的应用(例如F-k滤波和速度分析)可以达到理想的结果,即更可靠的地质模型。通过在介电常数的计算中提供显着的稳定性,将EMD技术(去除WOW噪声)应用于GPR数据的处理步骤,以估算水文地质参数。 GPR技术已广为人知且种类繁多,但GPR的一种相当不同的应用是评估南卡罗来纳州某处的银行过滤的适用性。最后,多属性分析方法是近地表地震数据的一个相当新的应用,用于从测井和地震数据预测孔隙度。

著录项

  • 作者

    Addison, Adrian Demond.;

  • 作者单位

    University of South Carolina.;

  • 授予单位 University of South Carolina.;
  • 学科 Geology.;Geophysics.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 94 p.
  • 总页数 94
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地质学;地球物理学;
  • 关键词

  • 入库时间 2022-08-17 11:38:28

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号