Yustira/ANN-MT-1D
An Example of 1D inversion magnetotelluric data using Artificial Neural Networks
This project helps geophysicists interpret subsurface structures from magnetotelluric (MT) survey data. It takes raw MT field measurements and processes them to produce a 1D model of the Earth's resistivity beneath the survey point. The primary users are geophysicists and exploration scientists.
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Use this if you need to quickly generate one-dimensional subsurface resistivity models from magnetotelluric data using a neural network approach.
Not ideal if you require complex 2D or 3D subsurface models or prefer traditional inversion methods over artificial neural networks.
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Mar 07, 2022
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