Welcome to pyESMDA’s documentation!

pyESMDA

Python Ensemble Smoother with Multiple Data Assimilations

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 Assimilations (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.

The original python implementation was by Muhammad Iffan Hannanu (https://github.com/iffanh/Playground).

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.

Contents:

• pyESMDA
  • References
• Installation
  • Stable release
  • From sources
• Usage
  • Basic usage
  • More complex usage on a 2D diffusion example
  • Correlation matrices building
• Contributing
  • Types of Contributions
  • Working on issues
  • Merge Request Guidelines
  • Setting up pyESMDA for local development
• Bibliography
• Credits
  • Development Lead
  • Contributors
• Changelog
  • 0.3.2 (2022-10-07)
  • 0.3.1 (2022-08-12)
  • 0.3.0 (2022-08-12)
  • 0.2.0 (2022-07-23)
  • 0.1.0 (2021-11-28)

API Reference

Contents:

API reference

• API Reference
  • Purpose
  • Classes
  • Functions

Indices and tables

• Index

• Module Index

• Search Page