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Earth Science Informatics

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28.08.2023 | RESEARCH

pyMPSLib: A robust and scalable open-source Python library for mutiple-point statistical simulation

verfasst von: Qiyu Chen, Ruihong Zhou, Cui Liu, Qianhong Huang, Zhesi Cui, Gang Liu

Erschienen in: Earth Science Informatics | Ausgabe 4/2023

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Abstract

Python has become an essential programming language for scientific computing and data analysis and processing. Various multiple-point statistics (MPS) algorithms are used to characterize complex heterogeneous structures and phenomena in earth sciences. However, there is currently no Python library that integrates mainstream MPS methods for simulation and computation in geosciences. Aiming to establish a stable MPS tool, we developed an open-source Python library of commonly used MPS methods, named pyMPSLib. pyMPSLib consists of ENESIM, SNESIM, and DS algorithms and provides a flexible and convenient API interface. To ensure the maintainability of pyMPSLib, the Python objects and toolkits of MPS algorithms are defined and implemented. To improve the compatibility and extensibility of the presented library, uniform coding standard is adopted in pyMPSLib. We performed the parameter sensitivity analysis under multiple configurations to validate the performance of the library. This open-source library also provides optional tools to quantitatively evaluate the realizations of the integrated MPS methods.

Vorheriger Artikel Landslide susceptibility assessment in Qinzhou based on rough set and semi-supervised support vector machine

Nächster Artikel Mapping petrophysical properties with seismic inversion constrained by laboratory based rock physics model

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Titel: pyMPSLib: A robust and scalable open-source Python library for mutiple-point statistical simulation
verfasst von: Qiyu Chen
Ruihong Zhou
Cui Liu
Qianhong Huang
Zhesi Cui
Gang Liu
Publikationsdatum: 28.08.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: Earth Science Informatics / Ausgabe 4/2023
Print ISSN: 1865-0473
Elektronische ISSN: 1865-0481
DOI: https://doi.org/10.1007/s12145-023-01086-5

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