High-resolution 3-D dielectric property models of the shallow subsurface: Integrating direct-push and georadar data

浅层地下高分辨率 3D 介电特性模型：集成直推数据和地理雷达数据

• 批准号: 48103875
• 负责人: Professor Dr. Peter Dietrich
• 金额: --
• 依托单位: Arbeitsgruppe Umwelt- und Ingenieurgeophysik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2007
• 资助国家: 德国
• 起止时间: 2006-12-31 至 2010-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/48103875?language=en
• 关键词: resolution; dielectric; property; models; shallow

Within the past decades, georadar data analysis has been established as one of the key geophysical technologies for exploring the shallow subsurface. In typical geological, environmental, and engineering applications, the technique provides detailed 2-D/3-D images of the subsurface. However, the analysis of the resulting reflection images is usually limited to a structural interpretation, e.g., outlining geological or lithological boundaries. As accurate and reliable information on subsurface velocity variations is usually not available, the generation of reliable depth models is a remaining challenging problem. In addition, the development of practical approaches for a more quantitative interpretation providing estimates on petrophysical parameters and lithologies, respectively, is largely untapped. In this research project, we want to develop advanced analysis schemes to improve the depth oriented quantitative interpretation of georadar reflection data. The core of the planned development is the integration of direct-push parameter information into the georadar processing and interpretation flow. Using a special direct-push tool allows for extracting high-resolution vertical profiles of the electrical and dielectrical properties of the probed material. As these parameters guide georadar wave propagation, the direct-push data collected at single locations can be used to calibrate the 2-D/3-D georadar reflection signature. The resulting 2-D/3-D depth calibrated dielectric parameter information would also provide a link to further important petrophysical parameters (e.g., water content or porosity) needed in many site characterization studies.

在过去的几十年中，Georadar数据分析被确定为探索浅层地面的关键地球物理技术之一。在典型的地质，环境和工程应用中，该技术提供了地下的详细的2-D/3-D图像。但是，对所得反射图像的分析通常仅限于结构性解释，例如概述地质或岩性边界。由于通常无法获得有关地下速度变化的准确和可靠的信息，因此，可靠的深度模型的生成是一个剩下的具有挑战性的问题。此外，在很大程度上尚未开发出对岩石物理参数和岩性的估计的实用方法的开发。在该研究项目中，我们希望开发高级分析方案，以改善乔治地反射数据的面向深度定量解释。计划开发的核心是将直接孔参数信息集成到Georadar处理和解释流程中。使用特殊的直线工具可以提取探测材料的电和介电性能的高分辨率垂直轮廓。当这些参数引导Georadar波传播时，可以使用在单个位置收集的直接孔数据来校准2-D/3-D Georadar反射签名。在许多站点表征研究中，所得的2-D/3-D深度校准介电参数信息还将提供与进一步重要的岩石物理参数（例如，水含量或孔隙率）的联系。