Description:
xtgeo 4.1.1
Introduction
XTGeo is a LGPL licensed Python library with C backend to support
manipulation of (oil industry) subsurface reservoir modelling. Typical
users are geoscientist and reservoir engineers working with
reservoir modelling, in relation with RMS. XTGeo is developed in Equinor.
Detailed documentation for XTGeo at Read the Docs
Feature summary
Python 3.8+ support
Focus on high speed, using numpy and pandas with C backend
Regular surfaces, i.e. 2D maps with regular sampling and rotation
3D grids (corner-point), supporting several formats such as
RMS and Eclipse
Support of seismic cubes, using
segyio as backend for SEGY format
Support of well data, line and polygons (still somewhat immature)
Operations between the data types listed above; e.g. slice a surface
with a seismic cube
Optional integration with ROXAR API python for several data types
(see note later)
Linux is main development platform, but Windows and MacOS (64 bit) are supported
and PYPI wheels for all three platforms are provided.
Installation
For Linux, Windows and MacOS 64bit, PYPI installation is enabled:
pip install xtgeo
For detailed installation instructions (implies C compiling), see
the documentation.
Getting started
import xtgeo
# create an instance of a surface, read from file
mysurf = xtgeo.surface_from_file("myfile.gri") # Irap binary as default
print(f"Mean is {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")
Note on RMS Roxar API integration
The following applies to the part of the XTGeo API that is
connected to Roxar API (RMS):
RMS is neither an open source software nor a free software and
any use of it needs a software license agreement in place.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Files:
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