{"title":"A Study of Ionospheric Impacts in WEM Exploration with QWE Method","authors":"Yilang Zhang, Ya Gao, C. Fu","doi":"10.1093/jge/gxad015","DOIUrl":null,"url":null,"abstract":"\n Wireless Electromagnetic Method (WEM) is an emerging new method for deep resource exploration. This method based on Magnetotellurics and Controlled Source Electromagnetic Method features advantages such as high signal strength and signal-to-noise ratio, large penetration depth, and easy survey geometry setups, which gives WEM potential for deployment in mineral exploration of large depth. As for now, there is little research on the controlling factors of the ionosphere in WEM exploration and whether the ionosphere is related to the modeling result remains unclear. In this work, we first developed a modified Quadrature with Extrapolation method to settle the oscillation in the calculation of WEM response. Then we compared its performance and accuracy with other methods and found that our method has better numerical stability even with highly oscillated integral kernels, which is ideal for WEM emulation. With the emulation tools, we can further investigate how the ionosphere’s height and resistivity affect the ground-received signal. We compared signals obtained with different ionospheric properties under various earth resistivity models. The conclusion we got is that these ionospheric properties only impact the received signal’s strength and have no influence on the Cagniard resistivity and phase of impedance.","PeriodicalId":54820,"journal":{"name":"Journal of Geophysics and Engineering","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysics and Engineering","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1093/jge/gxad015","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
Wireless Electromagnetic Method (WEM) is an emerging new method for deep resource exploration. This method based on Magnetotellurics and Controlled Source Electromagnetic Method features advantages such as high signal strength and signal-to-noise ratio, large penetration depth, and easy survey geometry setups, which gives WEM potential for deployment in mineral exploration of large depth. As for now, there is little research on the controlling factors of the ionosphere in WEM exploration and whether the ionosphere is related to the modeling result remains unclear. In this work, we first developed a modified Quadrature with Extrapolation method to settle the oscillation in the calculation of WEM response. Then we compared its performance and accuracy with other methods and found that our method has better numerical stability even with highly oscillated integral kernels, which is ideal for WEM emulation. With the emulation tools, we can further investigate how the ionosphere’s height and resistivity affect the ground-received signal. We compared signals obtained with different ionospheric properties under various earth resistivity models. The conclusion we got is that these ionospheric properties only impact the received signal’s strength and have no influence on the Cagniard resistivity and phase of impedance.
期刊介绍:
Journal of Geophysics and Engineering aims to promote research and developments in geophysics and related areas of engineering. It has a predominantly applied science and engineering focus, but solicits and accepts high-quality contributions in all earth-physics disciplines, including geodynamics, natural and controlled-source seismology, oil, gas and mineral exploration, petrophysics and reservoir geophysics. The journal covers those aspects of engineering that are closely related to geophysics, or on the targets and problems that geophysics addresses. Typically, this is engineering focused on the subsurface, particularly petroleum engineering, rock mechanics, geophysical software engineering, drilling technology, remote sensing, instrumentation and sensor design.