geoprobe 0.3.1
Reads and (partially) writes seismic data in Landmark's Geoprobe format
License: MIT

python-geoprobe
===============
python-geoprobe is a python module to read and write geoprobe horizons,
volumes, and faults.

Notes
-----

This implementation is based on reverse-engineering the file formats, and as
such, is certainly not complete. However, things seem to work. 

Examples
--------

``python-geoprobe`` supports basic reading and writing of geoprobe-formatted
volumes, horizons, fault sticks, 2D seismic, colormaps, and TSurfs.

As an example of reading and display a slice from a volume::

        import matplotlib.pyplot as plt
        import geoprobe

        vol = geoprobe.volume('examples/data/Volumes/example.vol')

        # By default, this will not load the data into RAM. Instead,
        # ``vol.data`` will be a memmapped numpy array
        print vol.data

        # Now let's load everythign into RAM. Note that ``vol.load()`` returns the
        # array, but ``vol.data`` will be the same in-memory array after this, as well
        vol.load()

        # Indexing the volume works in "model" (inline/crossline/z) coordinates.
        # We could also use ``vol.XSlice(2300)``, but indexing gives more flexibility.
        data = vol[2300, :, :].T

        # Display stretched. Note that for no vertical exaggeration, we'd use
        # ``aspect=1/vol.dyW``
        fig, ax = plt.subplots()
        ax.imshow(data, cmap='gray_r', aspect='auto',
                  extent=[vol.ymin, vol.ymax, vol.zmax, vol.zmin])
        ax.set(title='Inline 2300', xlabel='Crossline', ylabel='Depth (m)')

        plt.show()


.. image:: http://joferkington.github.io/python-geoprobe/images/vol_example.png
    :alt: An inline from the 3D seismic volume.
    :align: center

We can also read/write geoprobe-formatted binary horizons (ascii horizons
currently not supported)::

        import matplotlib.pyplot as plt
        import geoprobe

        hor = geoprobe.horizon('examples/data/Horizons/channels.hzn')

        # Some basic information about the horizon, to show useful attributes
        print ('The horizon has a total of %i points, %i of which are'
               ' auto-tracked' % (hor.data.size, hor.surface.size))
        print 'The horizon has %i manually picked lines' % len(hor.lines)
        print 'The inline coordinates range from', hor.xmin, 'to', hor.xmax
        print 'The crossline coordinates range from', hor.ymin, 'to', hor.ymax
        print 'The depth/time coordinates range from', hor.zmin, 'to', hor.zmax

        # Display the horizon:
        fig, ax = plt.subplots()

        # hor.grid is a 2D array of the Z-values stored in the horizon
        im = ax.imshow(hor.grid, cmap='gist_earth_r', origin='lower',
                       extent=(hor.xmin, hor.xmax, hor.ymin, hor.ymax))

        # Plot the manual picks
        # Here, "line" is a numpy structured array with fields 'x', 'y', 'z', etc.
        # "line_info" is a 4-tuple of (xdir, ydir, zdir, ID) (and is unused here)
        for line_info, line in hor.lines:
           ax.plot(line['x'], line['y'], color='gray')

        # Other information...
        cb = fig.colorbar(im, orientation='horizontal')
        cb.set_label('Depth in meters below sea level')
        ax.set(title='An example horizon file', xlabel='Inline', ylabel='Crossline')
        ax.axis('tight')

        plt.show()

.. image:: http://joferkington.github.io/python-geoprobe/images/hor_example.png
    :alt: A 3D horizon and manual picks.
    :align: center

Author
------

Joe Kington <joferkington@gmail.com>

Dependencies
------------

Requires python >= 2.5 and numpy. Some functions (e.g.  horizon.toGeotiff)
require gdal and its python bindings. The plotting functions in utilities (e.g.
utilities.wiggles) and some swfault functionality requires matplotlib.

Installation
------------

Installation should be as simple as "python setup.py install"