Python interface

JutulDarcy has a Python interface that automatically manages the Julia installation. For more details, see the PyJutulDarcy GitHub page.

Installation

Installation is done using pip. This will take care of all dependencies, and install a local Julia installation if it is not already present.

pip install jutuldarcy

Usage

The package contains a high level interface that allows you to run simulations and convert the results to numpy arrays. In addition, the package uses PythonCall under the hood where it is possible to access functions that do not yet have a public API.

import jutuldarcy as jd
# Load SPE9 dataset to disk
pth = jd.test_file_path("SPE9", "SPE9.DATA")
# Simulate the model and convert to Python dicts
res = jd.simulate_data_file(pth, convert = True)
# Get field quantities and plot
import matplotlib.pyplot as plt
fopr = res["FIELD"]["FOPR"]
days = res["DAYS"]
plt.plot(days, fopr)
plt.ylabel("Field oil production")
plt.xlabel("Days")
plt.show()