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

9903025Mackie 该奖项支持开发一种算法，用于将大地电磁 (MT) 测量值反演为地壳和上地幔电阻率结构的三维模型。 MT 观测的解释提供了一种对地球深层结构进行成像的方法，该方法与地震建模相互补充且独立。 MT数据的反演是一个计算难题。迄今为止，它已被证明仅适用于一维和二维建模。该项目将应用非线性共轭梯度方法来改进以前的 MT 3D 建模方法。如果该项目成功，所得的电阻率 3D 成像将显着提高我们对地球内部结构和过程的了解，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，涉及麻省理工学院和 GSY-USA, Inc 的人员；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.***