xtgeo 2.0.0

XTGeo is a Python library for 3D grids, surfaces, wells, etc

============================= The XTGeo library

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XTGeo is Python class library with a C backend for subsurface work. It handles many data types, such as surfaces, well data, 3D grids, etc. The usage is primarely targeted to geoscientist and reservoir engineers working with reservoir modelling, in relation with RMS.

Building XTGeo

XTGeo is developed on Linux. To build XTGeo you need:

• A C99 compatible C compiler (gcc is recommended)
• The SWIG library (http://www.swig.org/) version 2 or higher.
• Python 2.7, 3.4 or higher. Further Python requirements are listed in requirements.txt, requirements_dev.txt and setup.py
• Detailed instructions are provided in installation.rst

Features

To goal of XTGeo is to provide easy access to basic data, with manipulation in numpy and/or pandas. For example:

::

from xtgeo.surface import RegularSurface

create an instance of a surface, read from file

mysurf = RegularSurface('myfile.gri') # Irap binary as default

print('Mean is {}'.format(mysurf.values.mean()))

change date so all values less than 2000 becomes 2000

The values attribute gives the Numpy array

mysurface.values[mysurface.values < 2000] = 2000

export the modified surface:

mysurface.to_file('newfile.gri')

======= History

See github for commit and tag history:

https://github.com/equinor/xtgeo