DASCore:用于分布式光纤传感的 Python 库。

Derrick Chambers, Ge Jin, Ahmad Tourei, Abdul Hafiz Saeed Issah, Ariel Lellouch, Eileen R Martin, Donglin Zhu, Aaron J Girard, Shihao Yuan, Thomas Cullison, Tomas Snyder, Seunghoo Kim, Nicholas Danes, Nikhil Punithan, M Shawn Boltz, Manuel M Mendoza
{"title":"DASCore:用于分布式光纤传感的 Python 库。","authors":"Derrick Chambers, Ge Jin, Ahmad Tourei, Abdul Hafiz Saeed Issah, Ariel Lellouch, Eileen R Martin, Donglin Zhu, Aaron J Girard, Shihao Yuan, Thomas Cullison, Tomas Snyder, Seunghoo Kim, Nicholas Danes, Nikhil Punithan, M Shawn Boltz, Manuel M Mendoza","doi":"10.26443/seismica.v3i2.1184","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":520237,"journal":{"name":"Seismica","volume":"3 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11440623/pdf/","citationCount":"0","resultStr":"{\"title\":\"DASCore: a Python Library for Distributed Fiber Optic Sensing.\",\"authors\":\"Derrick Chambers, Ge Jin, Ahmad Tourei, Abdul Hafiz Saeed Issah, Ariel Lellouch, Eileen R Martin, Donglin Zhu, Aaron J Girard, Shihao Yuan, Thomas Cullison, Tomas Snyder, Seunghoo Kim, Nicholas Danes, Nikhil Punithan, M Shawn Boltz, Manuel M Mendoza\",\"doi\":\"10.26443/seismica.v3i2.1184\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":520237,\"journal\":{\"name\":\"Seismica\",\"volume\":\"3 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11440623/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seismica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26443/seismica.v3i2.1184\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seismica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26443/seismica.v3i2.1184","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在过去十年中,分布式声学传感(DAS)在不同领域实现了许多新的监测应用,包括碳氢化合物勘探和开采;诱发、局部、区域和全球地震学;基础设施和城市监测;以及其他一些领域。然而,到目前为止,处理 DAS 数据的开源软件生态系统还相对不成熟。我们在此介绍 DASCore,这是一个用于分析、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、读写各种 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,从而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) 的基础软件包,因此其主要目标是促进其他 DAS 库和应用程序的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
DASCore: a Python Library for Distributed Fiber Optic Sensing.

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
DASCore: a Python Library for Distributed Fiber Optic Sensing.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1