How magnetic susceptibilities measured on outcrops can be used for modelling (and constraining inversions of) aeromagnetic data

Pub Date : 2023-03-04 DOI:10.1080/08123985.2022.2082281
W. Mcneice, Richard S. Smith, E. Eshaghi
{"title":"How magnetic susceptibilities measured on outcrops can be used for modelling (and constraining inversions of) aeromagnetic data","authors":"W. Mcneice, Richard S. Smith, E. Eshaghi","doi":"10.1080/08123985.2022.2082281","DOIUrl":null,"url":null,"abstract":"Magnetic susceptibilities measured on outcrop are often assumed to be reasonable values to use when modelling aeromagnetic data. We have undertaken two exercises to understand how useful these measurements are for magnetic modelling. Estimates of apparent magnetic susceptibility can also be derived from aeromagnetic data by mathematical transformation if certain stringent conditions are satisfied. In the first exercise comparison of these two sets of values shows that when the measured values are below 1 × 10−3 SI, there is no correlation between the measured and apparent values. Above this value, the measured and estimated values agree to within a factor of 10, so these measured values can only be used as very rough constraints. In the second exercise, a database of outcrop measured magnetic susceptibilities was used to estimate a mean value for each lithology. When the mean of the measured values was used in our forward modelling exercise, we obtained a poor fit. However, when we inserted additional layers with larger susceptibilities that are represented on the histogram of a regional compilation of that lithology, the fit was satisfactory. In some cases, these additional layers were located in areas where there is relatively large variability in the magnetic susceptibility values measured on nearby outcrops. A large database of outcrop magnetic susceptibilities proved useful for providing a reasonable initial guess and the range of values that encompass the possible heterogeneities in each rock type.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1080/08123985.2022.2082281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Magnetic susceptibilities measured on outcrop are often assumed to be reasonable values to use when modelling aeromagnetic data. We have undertaken two exercises to understand how useful these measurements are for magnetic modelling. Estimates of apparent magnetic susceptibility can also be derived from aeromagnetic data by mathematical transformation if certain stringent conditions are satisfied. In the first exercise comparison of these two sets of values shows that when the measured values are below 1 × 10−3 SI, there is no correlation between the measured and apparent values. Above this value, the measured and estimated values agree to within a factor of 10, so these measured values can only be used as very rough constraints. In the second exercise, a database of outcrop measured magnetic susceptibilities was used to estimate a mean value for each lithology. When the mean of the measured values was used in our forward modelling exercise, we obtained a poor fit. However, when we inserted additional layers with larger susceptibilities that are represented on the histogram of a regional compilation of that lithology, the fit was satisfactory. In some cases, these additional layers were located in areas where there is relatively large variability in the magnetic susceptibility values measured on nearby outcrops. A large database of outcrop magnetic susceptibilities proved useful for providing a reasonable initial guess and the range of values that encompass the possible heterogeneities in each rock type.
分享
查看原文
在露头上测量的磁化率如何用于航空磁数据的建模(和约束反演)
在对航磁数据进行建模时,通常认为在露头上测量的磁化率是合理的值。我们进行了两次练习,以了解这些测量对磁性建模的有用程度。如果满足某些严格条件,也可以通过数学变换从航磁数据中导出表观磁化率的估计值。在第一次练习中,这两组值的比较表明,当测量值低于1时 × 10−3 SI,测量值和表观值之间没有相关性。在该值以上,测量值和估计值在因子10内一致,因此这些测量值只能用作非常粗略的约束。在第二次演习中,使用露头测得的磁化率数据库来估计每个岩性的平均值。当在我们的正向建模练习中使用测量值的平均值时,我们获得了较差的拟合。然而,当我们插入在该岩性的区域汇编直方图上表示的具有较大易感性的附加层时,拟合是令人满意的。在某些情况下,这些附加层位于附近露头测得的磁化率值变化相对较大的区域。事实证明,露头磁化率的大型数据库有助于提供合理的初始猜测和涵盖每种岩石类型可能的非均质性的值范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信