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Updating Docs for commit 5d4cbf2 made on 2024-03-28T04:58:39+00:00 fr…
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…om refs/heads/dev by AmirMardan
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7 changes: 7 additions & 0 deletions README.md
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# GitHub Pages Cache

Nothing to see here. The contents of this branch are essentially a cache that's not intended to be viewed on github.com.


If you're looking to update our documentation, check the relevant development branch's 'docs/' dir.

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# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: 474babfb589164d6e394b8badc5b334c
tags: 645f666f9bcd5a90fca523b33c5a78b7
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22 changes: 22 additions & 0 deletions en/am/_sources/index.rst.txt
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.. PINN-FWI documentation master file, created by
sphinx-quickstart on Thu Mar 28 00:06:12 2024.
You can adapt this file completely to your liking, but it should at least
contain the root `toctree` directive.
Welcome to PINN-FWI's documentation!
====================================

This is preliminary documentation for Physics-Informed Neural Networks for Full-Waveform Inversion (PINN-FWI)

.. toctree::
:maxdepth: 1
:caption: Getting started:

source/readme

.. toctree::
:maxdepth: 1
:caption: Tools:

source/tools

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config module
=============

.. automodule:: config
:members:
:undoc-members:
:show-inheritance:
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networks module
===============

.. automodule:: networks
:members:
:undoc-members:
:show-inheritance:
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pyfwi\_tools module
===================

.. automodule:: pyfwi_tools
:members:
:undoc-members:
:show-inheritance:
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PIANN-FWI for estimating the Marmousi velocity model
===================================================

In this repository, I implemented the physics-informed neural network
(PINN) for full-waveform inversion. This PINN can be implemented with or
without attention block. The architecture of their study is shown in the
following figure.

.. figure:: /readme_files/architecture.png
:alt: architecture


For running the code, you should use this
`notebook <https://github.com/AmirMardan/pinn_fwi/blob/main/pinn_fwi.ipynb>`__.
The required parameters for running this notebook should be set in this
`config <https://github.com/AmirMardan/pinn_fwi/blob/main/config.py>`__
file.

Note: I have commented cell 3 in this notebook, you should run this cell
whenever you change an acquisition parameter (and for the first time
using the codes).

Note: Please use the
`requirements <https://github.com/AmirMardan/pinn_fwi/blob/main/requirements.txt>`__
file (written in the jupyter file) to install the packages with
specified versions to be sure everything works.

.. code:: console
pip install -r requirements.txt
In this repo, there are four scripts for running FWI. 1.
```pinn_fwi.py`` <https://github.com/AmirMardan/pinn_fwi/blob/main/pinn_fwi.py>`__
for performing PINN- or PIANN-FWI. 2.
```original_fwi.py`` <https://github.com/AmirMardan/pinn_fwi/blob/main/original_fwi.py>`__
for running the conventional FWI. 3.
```pinn_for_init.py`` <https://github.com/AmirMardan/pinn_fwi/blob/main/pinn_for_init.py>`__
for performing PINN- or PIANN-FWI to create an initial model and use
that to perform the conventional FWI. 4.
```pinn_fwi.ipynb`` <https://github.com/AmirMardan/pinn_fwi/blob/main/pinn_fwi.ipynb>`__
for performing PINN- or PIANN-FWI, but this notebook might not be
updated.

The result of running this code for 22 shots with 2500 epochs on the
Marmousi model is shown in the following figures.

|res| For a faster convergence (300 epochs), I considered geophones
around the model and the results are |with_init| where the hybrid method
is using the PIANN-FWI for creating only initial model.

Reference:

::

@inproceedings{mardan2024piann_eage,
title = {Physics-informed attention-based neural networks for full-waveform inversion},
author = {Mardan, Amir and Fabien-Ouellet, Gabriel},
year = {2024},
booktitle = {85$^{th}$ {EAGE} Annual Conference \& Exhibition},
publisher = {European Association of Geoscientists \& Engineers},
pages = {1-5},
doi = {}
}

.. |res| image:: /readme_files/marmousi_clean.png
.. |with_init| image:: /readme_files/image2024_marmousi_clean.png
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tools module
============

.. automodule:: tools
:members:
:undoc-members:
:show-inheritance:
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torchfwi module
===============

.. automodule:: torchfwi
:members:
:undoc-members:
:show-inheritance:
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train module
============

.. automodule:: train
:members:
:undoc-members:
:show-inheritance:
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utils module
============

.. automodule:: utils
:members:
:undoc-members:
:show-inheritance:
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