Awesome

DeepField

Python framework for reservoir engineering.

Features

• reservoir representation with Grid, Rock, States, Wells, Faults, Aquifer, and PVT-tables
• interactive 3D visualization
• reservoir preprocessing tools
• detailed documentation
• tutorials to explore the framework step-by-step

Installation

Clone the repository:

git clone https://github.com/deepfield-team/DeepField.git

Working with a remote server, it is recommended to install VNC for remote rendering of 3D graphics (follow this instruction)

Another option is to build the docker image with DeepField inside. Instructions and dockerfile are provided in the docker directory.

Note: the project is in developement. We welcome contributions and collaborations.

Quick start

Load a reservoir model from .DATA file (some models are given in the open_data directory):

  from deepfield import Field

  model = Field('model.data').load()

See the tutorials to explore the framework step-by-step and the documentation for more details.

Model formats

Initial reservoir model can be given in a mixture of ECLIPSE, MORE, PETREL, tNavigator formats. However, there is no guarantee that any mixture will be understood. Main file should be in .DATA file. Dependencies can be text and binary files including common formats:

• .GRDECL
• .INC
• .RSM
• .UNRST
• .RSSPEC
• .UNSMRY
• .SMSPEC
• .EGRID
• .INIT

See the full list of supported keywords in the documentation.

Within the DeepField framework it is recommended to use the HDF5 format to speed up data load and dump. In this case all data are contained in a single .HDF5 file. At any point the model can be exported back into .DATA text and binary files compatibile with conventional software.