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Exact Critical Coulomb Wedge - Graphical User Interface: tools to compute and display the exact solution of any parameter of Critical Coulomb Wedge

Project description

Exact Critical Coulomb Wedge - Graphical User Interface

ECCW and ECCW-GUI allow to compute the exact solution of any parameter of critical Coulomb wedge (as Dahlen 1984 and Yuan et al. 2015). They allow to draw any of these solutions in the β vs α domain (basal slope against surface slope). Are availables compressive or extensive geological context and fluid pore pressure.

ECCW and ECCW-GUI are under GNU GPL-v3 license.


General informations

  • ECCW is a python3 library;
  • ECCW-GUI is a graphical user interface, written in python3 and using Qt;
  • In the GUI, you can save a session and keep it in an xml file (.eccw);
  • A pdf documentation is available (see Usage section) including:
    • usage explainations;
    • theoretical explainations
    • guidelines of the results interpretation;
    • blueprints of the equations implemantation.

Calculator App

  • Compute the solution of the Critical Coulomb Wedge for compressive or extensive tectonic context, with or without fluids overpressure.
  • The solution can be computed with one of the four main parameters set as unknown.
  • A range of solutions can be computed at once if you set one of the known parameters as a range.

screen copy of calculator app

Plot App

  • Plot the solution of the Critical Coulomb Wedge in matplotlib windows (includes zooms, exports, and more).
  • A range of solutions can be ploted at once if you set one of the known parameters as a range.
  • You can explore graphically points on the solution curve, with optional display of a sketch representing orientations and directions of faults.
  • Refrences points can be manually added or imported from .csv files.

screen copy of plot app

screen copy of plot window of plot app




Only tested on Windows 7.

  • Install a python3 distribution. The miniconda distribution from is a good choice.

    • Download the proper installer (the 64-bit version should be appropriated).
    • Run the downloaded .exe;
  • Intall ECCW.

    • Open a shell that can access your python3 distribution, such as the Windows Power Shell. If you choosed to install miniconda, you should use the Anaconda Prompt. You can access it by typing anaconda in the main Windows menu.

    • In the shell, type the following command:

      pip install --upgrade pip
      pip install eccw-gui
  • ECCW is then available from the main Windows menu by taping eccw or from a shell by taping python -m eccw_gui.

  • Optionally, you can run the eccw_windows_install command in a shell to install menu and desktop shortcuts. To remove these shortcuts, run the eccw_windows_remove command.



Only tested on Ubuntu 18.04.

  • Install python3 with pip and tk. On Debian family distributions, you can install these packages using the following command:

    $ sudo apt-get install python3 python3-pip python3-tk
  1. Install ECCW with the following command:

    $ pip3 install --upgrade pip
    $ pip3 install eccw-gui
  2. ECCW is then available from the main menu under the name eccw.


GUI usage

Simply type eccw in a shell to launch eccw. The GUI should also be available from the main menu.

To obtain help with text based mode, type:

$ eccw -h

You can access an off-line documentation using the button ‘Documentation’ in the GUI. Alternatively, you can use the following command, without the GUI:

$ eccw -d

You can launch the GUI with the -m option of python using the canonic syntax:

python -m eccw_gui

Python library usage

You can import and use the core objects for computing and plotting Critical Coulomb Wedge from a python session as discribed in what follows.


This the core object that compute the solutions of the CCW problem.

>>> from eccw import EccwCompute
>>> foo = EccwCompute(phiB=30, phiD=10, beta=0)
>>> foo.show_params()
{ context       : 'Compression'
  beta          : 0.0
  alpha         : nan
  phiB          : 30.0
  phiD          : 10.0
  rho_f         : 0.0
  rho_sr        : 0.0
  delta_lambdaB : 0.0
  delta_lambdaD : 0.0
>>> foo.compute("alpha")
((3.4365319302835018,), (23.946319406533199,))

The result obtained with the compute method is always a tuple of two tuples. The first tuple contains results in inverse fault mechanism, while the second tuple contains results in normal fault mechanism. These tuples can each contain 0, 1 or 2 values, with a total always equal to 0 or 2. Here some more examples with computation of beta parameter::

>>> foo.alpha = 3.436532
>>> foo.compute("beta")
((-1.0516746372768912e-07,), (69.6779628783264,))
>>> foo.alpha = 20
>>> foo.compute("beta")
((), (-3.580929608343892, 43.25889259183777))
>>> foo.alpha = -20
>>> foo.compute("beta")
((36.74110740816224, 83.58092960834391), ())
>>> foo.alpha = -35
>>> foo.compute("beta")
((), ())

Have a look on the plot obtained in next section to understand these results.


This the core object that plot the solutions of the CCW problem. This object inherits from EccwCompute.

>>> from eccw import EccwPlot
>>> foo = EccwPlot(phiB=30, phiD=10)
>>> foo.add_curve(inverse={'color':(1,0,0,1), 'label':'inverse'},
                  normal={'color':(0,0,1,1), 'label':'normal'})
>>> foo.add_point(alpha=3.436532)
>>> foo.add_point(alpha=20, style='*', size=10)
>>> foo.add_point(alpha=-20, style='s')
>>> foo.add_legend()

screen copy of matplotlib window containing ECCW plot


Additional dependancies

Some softwares are needed to convert Qt specific files into python code:

  • pyuic5 is used to convert form .ui files into python code calling PyQt;
  • pyrcc5 is used to convert Qt ressources files .qrc into python module.

Both are found in following dependancies (ubuntu / debian):


If you want to install Qt-designer for Qt5 on Ubuntu/debian, this app is included in the following package:


Informations for developpers

  • Convert .ui files created using Qt-Designer into python files:

    $ pyuic5 -x xxx.ui -o

    Some bash scripts located in eccw_gui/*/viewers folders named automatise this process. Some custom corrections of Qt objects dimensions are also embedded in some of these script.

  • Convert Qt ressources .qrc files created using Qt-Designer into python files:

    $ pyrcc5 xxx.qrc -o

    These ressources files are a smart way to embed images into source code and solve the access path to these images problem after desktop installation.

  • All graphical object (Qt-derived) get the following methods:


    return an OrderedDict that describe the state of the object.


    set the object with a dict obtained from getParams.


    return an OrderedDict that describe the selected parameters to treat (equal to getParams if the paramters gets single state).

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