Seeing the unseeable: A new generation of geophysical imaging

该项目旨在基于统计学和机器学习的最新进展，为概率地球物理成像和推理开发新的数学框架。这将使我们能够更详细和更深入地了解地球内部发生的结构和过程，包括与澳大利亚矿产和/或能源工业有关的结构和过程。这项研究的成果包括用于地下成像的数学和计算工具，以及对澳大利亚和全球地球科学的更好理解。这项工作可以更有效地开发地球资源，并提高我们对地球系统在地质历史上如何发展的理解。

This project aims to develop novel mathematical frameworks for probabilistic geophysical imaging and inference, building on recent advances in statistics and machine learning. These will allow us to obtain a more detailed and robust understanding of structures and processes occurring within the Earth, including those relevant to the Australian minerals and/or energy industries. Outcomes of this research include mathematical and computational tools for imaging the subsurface, and greater understanding of Australian and global geoscience. This work can permit more effective exploitation of earth resources, as well as improving our understanding of how the Earth system has developed over geological history.