首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Investigation of magnetic inversion methods in highly magnetic environments under strong self-demagnetization effect
【24h】

Investigation of magnetic inversion methods in highly magnetic environments under strong self-demagnetization effect

机译:强磁环境下强大的自我退缩效应的磁反转方法研究

获取原文
获取原文并翻译 | 示例
           

摘要

We investigate self-demagnetization effects on magnetic data and develop a comparison of two existing inversion methods as they apply to quantitative interpretation of such data in highly magnetic environments. We begin by evaluating the effect on magnetization direction when susceptibility is a scalar and increases from low values into the realm of self-demagnetization. We show through numerical experiments that susceptibility values of greater than 0.1 SI lead to significant self-demagnetization effects. Second, we show that conventional inversion can perform well for interpretation of self-demagnetization problems with simple source geometries. However, as the geometry becomes more complex in realistically complex problems, this approach can produce poor results and a more robust technique is required. Our numerical experiments indicate that directly inverting amplitude data, which can be derived from total-field magnetic anomaly data and are weakly dependent on magnetization direction, produces superior results when interpreting data from areas with complex geology and high magnetic susceptibilities. We conclude by evaluating the application of our preferred approach on a large field data set exhibiting strong self-demagnetization, multiple source bodies, and complex structures.
机译:我们调查对磁数据的自销磁影响,并开发了两种现有的反转方法的比较,因为它们适用于高磁环境中这些数据的定量解释。当易感性是标量时,我们首先评估对磁化方向的影响,并且从低值增加到自我退磁的领域。我们通过数值实验表明,大于0.1 si的易感性值导致显着的自我退缩效应。其次,我们表明传统的反转可以很好地对简单来源几何形状的自我退缩问题的解释进行良好。然而,由于几何形状在现实复杂的问题中变得更复杂,因此这种方法可以产生差的结果,并且需要更强大的技术。我们的数值实验表明,直接反相幅度数据,其可以从总场磁异常数据衍生,并且在从具有复杂地质和高磁性敏感度的区域解释数据时,产生优异的结果。我们通过评估我们在具有强大自磁,多源体和复杂结构的大型现场数据集中的应用程序的应用。

著录项

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