pySimFrac:用于合成断裂生成和分析的 Python 库

IF 4.2 2区 地球科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Geosciences Pub Date : 2024-07-02 DOI:10.1016/j.cageo.2024.105665
Eric Guiltinan, Javier E. Santos, Prakash Purswani, Jeffrey D. Hyman
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引用次数: 0

摘要

pySimFrac 允许用户指定三种断裂生成技术(箱形、高斯或频谱)之一,并执行统计分析,包括断裂表面和孔径的自相关性、矩和概率密度函数。通过这种分析和使用 python 库,用户可以创建逼真的断裂现实,并改变感兴趣的属性。此外,pySimFrac 还包括两个不同孔隙尺度模拟器和离散断裂网络模拟器 dfnWorks 的集成示例。这项工作所开发的功能为更广泛的科学界提供了快速、顺利地采用和实施的机会,以准确描述地质介质中的流体传输。我们介绍了 pySimFrac 以及集成示例,并讨论了将 pySimFrac 从单一复杂断裂扩展到复杂断裂网络的能力。
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pySimFrac: A Python library for synthetic fracture generation and analysis

In this paper, we introduce pySimFrac , an open-source python library for generating 3-D synthetic fracture realizations, integrating with fluid simulators, and performing analysis. pySimFrac allows the user to specify one of three fracture generation techniques (Box, Gaussian, or Spectral) and perform statistical analysis including the autocorrelation, moments, and probability density functions of the fracture surfaces and aperture. This analysis and accessibility of a python library allows the user to create realistic fracture realizations and vary properties of interest. In addition, pySimFrac includes integration examples to two different pore-scale simulators and the discrete fracture network simulator, dfnWorks. The capabilities developed in this work provides opportunity for quick and smooth adoption and implementation by the wider scientific community for accurate characterization of fluid transport in geologic media. We present pySimFrac along with integration examples and discuss the ability to extend pySimFrac from a single complex fracture to complex fracture networks.

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来源期刊
Computers & Geosciences
Computers & Geosciences 地学-地球科学综合
CiteScore
9.30
自引率
6.80%
发文量
164
审稿时长
3.4 months
期刊介绍: Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.
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