Welcome to pyESMDA’s documentation!¶
pyESMDA¶
Python Ensemble Smoother with Multiple Data Assimilation
pyesmda is an open-source, pure python, and object-oriented library that provides a user friendly implementation of one of the most popular ensemble based method for parameters estimation and data assimilation: the Ensemble Smoother with Multiple Data Assimilation (ES-MDA) algorithm, introduced by Emerick and Reynolds [1-2].
Thanks to its simple formulation, ES-MDA of Emerick and Reynolds (2012) is perhaps the most used iterative form of the ensemble smoother in geoscience applications.
Free software: MIT license
Documentation: https://pyesmda.readthedocs.io.
How to Cite¶
Software/Code citation for pyESMDA:
Antoine Collet. (2023). pyESMDA - Python Ensemble Smoother with Multiple Data Assimilation (v0.4.2). Zenodo. https://doi.org/10.5281/zenodo.7425670
References¶
[1] Emerick, A. A. and A. C. Reynolds, Ensemble smoother with multiple data assimilation, Computers & Geosciences, 2012.
[2] Emerick, A. A. and A. C. Reynolds. (2013). History-Matching Production and Seismic Data in a Real Field Case Using the Ensemble Smoother With Multiple Data Assimilation. Society of Petroleum Engineers - SPE Reservoir Simulation Symposium 1. 2. 10.2118/163675-MS.
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API Reference¶
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