Collaborative Research: Fast, Conjugate Gradients-Based Algorithm for 3-D Magnetotelluric Inversion

9903025 Mackie该奖项支持开发一种算法，用于将大地电磁（MT）测量结果反演为地壳和上地幔电阻率结构的三维模型。大地电磁观测资料的解释提供了一种与地震模拟相互补充而又相互独立的地球深部结构成像方法。大地电磁测深资料的反演是一个计算难题。迄今为止，它已被证明只适用于1-D和2-D建模。本计画将应用非线性共轭梯度法，以改善MT三维建模的方法。如果该项目成功，由此产生的电阻率三维成像将大大提高我们对地球内部结构和过程的理解，并改进矿物勘探的地球物理技术。这是一个为期两年的项目，参与人员来自马萨诸塞州理工学院和GSY-USA公司;一家专门从事地球物理勘探技术的小公司。

9903025Mackie This award supports the development of an algorithm for the inversion of magnetotelluric (MT) measurements to three-dimensional models of the electrical resistivity structure of the earth's crust and upper mantle. The interpretation of MT observations provides a method for imaging deep earth structure that is complementary to and independent of seismic modeling. The inversion of MT data is a difficult computational problem. To date it has proven practical only for 1-D and 2-D modeling. This project will apply the method of nonlinear conjugate gradients to improve on previous approaches to 3-D modeling in MT. If this project is successful, the resultant 3-D imaging of the electrical resistivity will significantly improve our understanding of the earth's internal structure and processes and also improve geophysical techniques for mineral exploration. This is a two-year project involving personnel from the Massachusetts Institute of Technology and GSY-USA, Inc; a small company specialized in geophysical exploration techniques.***