Chambers Derrick, Jin Ge, Tourei Ahmad, Issah Abdul Hafiz Saeed, Lellouch Ariel, Martin Eileen R, Zhu Donglin, Girard Aaron J, Yuan Shihao, Cullison Thomas, Snyder Tomas, Kim Seunghoo, Danes Nicholas, Punithan Nikhil, Shawn Boltz M, Mendoza Manuel M
Spokane Mining Research Division, National Institute for Occupational Safety and Health, Spokane, USA.
Department of Geophysics, Colorado School of Mines, Golden, USA.
Seismica. 2024 Jul 30;3(2). doi: 10.26443/seismica.v3i2.1184.
In the past decade, distributed acoustic sensing (DAS) has enabled many new monitoring applications in diverse fields including hydrocarbon exploration and extraction; induced, local, regional, and global seismology; infrastructure and urban monitoring; and several others. However, to date, the open-source software ecosystem for handling DAS data is relatively immature. Here we introduce DASCore, a Python library for analyzing, visualizing, and managing DAS data. DASCore implements an object-oriented interface for performing common data processing and transformations, reading and writing various DAS file types, creating simple visualizations, and managing file system-based DAS archives. DASCore also integrates with other Python-based tools which enable the processing of massive data sets in cloud environments. DASCore is the foundational package for the broader DAS data analysis ecosystem (DASDAE), and as such its main goal is to facilitate the development of other DAS libraries and applications.
在过去十年中，分布式声学传感（DAS）在包括碳氢化合物勘探与开采、诱发地震学与局部、区域及全球地震学、基础设施与城市监测等多个不同领域催生了许多新的监测应用。然而，迄今为止，用于处理DAS数据的开源软件生态系统相对不成熟。在此，我们介绍DASCore，一个用于分析、可视化和管理DAS数据的Python库。DASCore实现了一个面向对象的接口，用于执行常见的数据处理和转换、读取和写入各种DAS文件类型、创建简单的可视化以及管理基于文件系统的DAS存档。DASCore还与其他基于Python的工具集成，这些工具能够在云环境中处理海量数据集。DASCore是更广泛的DAS数据分析生态系统（DASDAE）的基础包，因此其主要目标是促进其他DAS库和应用程序的开发。
