Skip to content

This repository contains Python codes for implementing 1D MT modeling, 3D DC modeling, 1D inversion and 3D sensitivity calculation. Created for the course - GEOL 6396 Computational EM in the Department of Earth and Atmospheric Sciences, University of Houston.

License

Notifications You must be signed in to change notification settings

jiajiasun/GEOL6396-Computational-EM

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

67 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

GEOL6396 Computational EM

Time:

  • Fall semester

Dept.:

  • Department of Earth and Atmospheric Sciences, University of Houston

Instructor:

  • Dr. Jiajia Sun

Requirement:

  • Python / Matlab

Package author:

This course focuses on computational methods used for solving Maxwell’s equations in various situations.

  • Understand Maxwell’s equations and their geophysical applications;
  • Understand and be able to implement finite volume method in 1D and its application to Maxwell’s equations;
  • Be able to implement finite volume discretization in 3D;
  • Be able to discretize Maxwell’s equations in 3D using finite volume method;
  • Be able to calculate sensitivities for EM exploration problems;
  • Understand inverse theory and be able to implement EM inversions;
  • Understand Bayesian inversion and its application to EM inverse problems;
  • Be able to perform EM computations in Matlab/Python.

About

This repository contains Python codes for implementing 1D MT modeling, 3D DC modeling, 1D inversion and 3D sensitivity calculation. Created for the course - GEOL 6396 Computational EM in the Department of Earth and Atmospheric Sciences, University of Houston.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%