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

协作研究：基于共轭梯度的快速 3-D 大地电磁反演算法

• 批准号: 9903775
• 负责人: Theodore Madden
• 金额: $ 7.51万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-15 至 2002-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9903775&HistoricalAwards=false
• 关键词: Collaborative; Research; Fast; Conjugate; Gradients

9903775Madden 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.***

9903775Madden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的电阻率结构的三维模型。大地电磁观测的解释为地球深部构造成像提供了一种补充和独立于地震模拟的方法。大地电磁测深数据的反演是一个计算困难的问题。到目前为止，它被证明只适用于一维和二维建模。该项目将应用非线性共轭梯度法来改进以前的MT三维建模方法。如果该项目成功，由此产生的电阻率三维成像将显著提高我们对地球内部结构和过程的了解，并改进矿产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，GSY-USA，Inc.是一家专门从事地球物理勘探技术的小公司。