Optimisation of Signal-to-Noise Ratio in Electrical and Electromagnetic Investigations

电气和电磁研究中信噪比的优化

• 批准号: ARC : LP0219576
• 负责人: Dr Graham Heinson
• 金额: $ 5.8万
• 依托单位: The University of Adelaide
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2002
• 资助国家: 澳大利亚
• 起止时间: 2002-01-01 至 2004-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/optimisation-signal-to-electromagnetic-investigations/67289
• 关键词: Optimisation; Signal; Noise; Ratio; Electrical

Optimisation of Signal-to-Noise Ratio in Electrical and Electromagnetic Investigations. Electrical and electromagnetic geophysical methods have been used extensively for mineral exploration, and are developing a role in salinity mapping and contaminant identification. To enhance the utility of such methods for very shallow targets (in the case of salinity) and deep targets (minerals beneath regolith)improved signal processing methods are required. The project involves the development of time-series processing techniques using robust-statistical methods and remote-referencing to improve signal-to-noise data quality. Instrumentation hardware and software developments are required for in-field data acquisition and interpretation, applied to direct current (DC) resistivity, induced polarisation (IP) and time-domain EM (TEM).

电气和电磁研究中信噪比的优化。电气和电磁地球物理方法已广泛用于矿产勘探，并正在开发的盐度测绘和污染物识别的作用。为了提高这种方法对非常浅的目标（在含盐量的情况下）和深的目标（风化层下的矿物）的效用，需要改进信号处理方法。该项目涉及利用稳健统计方法和远程参照开发时间序列处理技术，以提高信噪比数据质量。现场数据采集和解释需要开发仪器硬件和软件，适用于直流（DC）电阻率、感应极化（IP）和时域EM（TEM）。