Inversion and inference of geophysical data

矿藏通常被埋在盖子下，需要地球物理方法才能发现它们。每一次地球物理调查都提供有关具体物理性质的信息，通常进行一些不同的调查，以提供关于地下的更完整的信息。在过去的二十年里，我们开发了一些方法来反演来自各个地球物理调查的数据，以生成物理属性分布的三维模型。我们现在可以反演重、磁、直流电阻率、激发极化、频率和时间域电磁数据，以恢复密度、磁化率、可荷性和电导率的三维分布。有了这个基础，我们现在可以专注于其他研究问题。在这项研究中，我们解决了两个这样的问题：(A)如何设计一项具有成本效益并回答感兴趣的问题的调查；(B)如何建立一个与所有现有地球物理和地质知识相兼容的地球模型解。在这两个领域取得的进展将使勘探更加有效，并继续使加拿大在矿产勘探和其他涉及地下调查的应用地球科学方面走在前列。

Mineral deposits are often buried beneath a cover and geophysical methods are required to discover them. Each geophysical survey provides information about a specific physical property and generally a number of different surveys are carried out to provide more complete information about the subsurface. Over the last two decades we have developed methods to invert data from individual geophysical surveys to generate 3 dimensional models of the physical property distribution. We can now invert gravity, magnetic, DC resistivity, Induced Polarization, and frequency and time domain electromagnetic data to recover 3D distributions of density, magnetic susceptibility, chargeability and electrical conductivity. With this foundation we can now focus upon other research problems. In this research we address two such problems: (a) how to design a survey that is cost effective and answers the question of interest and (b) how to construct an earth model solution that is compatible with all available geophysical and geological knowledge. Progress made in these two areas will make exploration more effective and continue to keep Canada at the forefront of mineral exploration and other applied earth sciences that involve subsurface investigations.