APyCE:用于解析和可视化3D油藏数字孪生模型的Python模块

IF 9 1区 地球科学 Q1 ENERGY & FUELS
Mateus Tosta, G. P. Oliveira, Bin Wang, Zhiming Chen, Q. Liao
{"title":"APyCE:用于解析和可视化3D油藏数字孪生模型的Python模块","authors":"Mateus Tosta, G. P. Oliveira, Bin Wang, Zhiming Chen, Q. Liao","doi":"10.46690/ager.2023.06.07","DOIUrl":null,"url":null,"abstract":": Engineers, geoscientists, and analysts can benefit from fast, easy, and real-time immersive 3D visualization to enhance their understanding and collaboration in a virtual 3D world. However, converting 3D reservoir data formats between different software programs and open-source standards can be challenging due to the complexity of programming and discrepancies in internal data structures. This paper introduces an open-source Python implementation focused on parsing industry reservoir data formats into a popular open-source visualization data format, Visual Toolkit files. Using object-oriented programming, a simple workflow was developed to export corner-point grids to Visual Toolkit-hexahedron structures. To demonstrate the utility of the software, standard raw input files of reservoir models are processed and visualized using Paraview. This tool aims to accelerate the digital transformation of the oil and gas industry in terms of 3D digital content generation and collaboration.","PeriodicalId":36335,"journal":{"name":"Advances in Geo-Energy Research","volume":"29 1","pages":""},"PeriodicalIF":9.0000,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"APyCE: A Python module for parsing and visualizing 3D reservoir digital twin models\",\"authors\":\"Mateus Tosta, G. P. Oliveira, Bin Wang, Zhiming Chen, Q. Liao\",\"doi\":\"10.46690/ager.2023.06.07\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Engineers, geoscientists, and analysts can benefit from fast, easy, and real-time immersive 3D visualization to enhance their understanding and collaboration in a virtual 3D world. However, converting 3D reservoir data formats between different software programs and open-source standards can be challenging due to the complexity of programming and discrepancies in internal data structures. This paper introduces an open-source Python implementation focused on parsing industry reservoir data formats into a popular open-source visualization data format, Visual Toolkit files. Using object-oriented programming, a simple workflow was developed to export corner-point grids to Visual Toolkit-hexahedron structures. To demonstrate the utility of the software, standard raw input files of reservoir models are processed and visualized using Paraview. This tool aims to accelerate the digital transformation of the oil and gas industry in terms of 3D digital content generation and collaboration.\",\"PeriodicalId\":36335,\"journal\":{\"name\":\"Advances in Geo-Energy Research\",\"volume\":\"29 1\",\"pages\":\"\"},\"PeriodicalIF\":9.0000,\"publicationDate\":\"2023-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Geo-Energy Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46690/ager.2023.06.07\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Geo-Energy Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46690/ager.2023.06.07","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

工程师、地球科学家和分析师可以从快速、简单和实时的沉浸式3D可视化中受益,以增强他们在虚拟3D世界中的理解和协作。然而,由于编程的复杂性和内部数据结构的差异,在不同软件程序和开源标准之间转换3D油藏数据格式可能具有挑战性。本文介绍了一个开源Python实现,专注于将工业油藏数据格式解析为流行的开源可视化数据格式Visual Toolkit文件。采用面向对象的编程方法,开发了一个简单的将角点网格导出到visualtoolkit -六面体结构的工作流。为了证明该软件的实用性,使用Paraview对油藏模型的标准原始输入文件进行了处理和可视化。该工具旨在加速油气行业在3D数字内容生成和协作方面的数字化转型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
APyCE: A Python module for parsing and visualizing 3D reservoir digital twin models
: Engineers, geoscientists, and analysts can benefit from fast, easy, and real-time immersive 3D visualization to enhance their understanding and collaboration in a virtual 3D world. However, converting 3D reservoir data formats between different software programs and open-source standards can be challenging due to the complexity of programming and discrepancies in internal data structures. This paper introduces an open-source Python implementation focused on parsing industry reservoir data formats into a popular open-source visualization data format, Visual Toolkit files. Using object-oriented programming, a simple workflow was developed to export corner-point grids to Visual Toolkit-hexahedron structures. To demonstrate the utility of the software, standard raw input files of reservoir models are processed and visualized using Paraview. This tool aims to accelerate the digital transformation of the oil and gas industry in terms of 3D digital content generation and collaboration.
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
Advances in Geo-Energy Research
Advances in Geo-Energy Research natural geo-energy (oil, gas, coal geothermal, and gas hydrate)-Geotechnical Engineering and Engineering Geology
CiteScore
12.30
自引率
8.50%
发文量
63
审稿时长
2~3 weeks
期刊介绍: Advances in Geo-Energy Research is an interdisciplinary and international periodical committed to fostering interaction and multidisciplinary collaboration among scientific communities worldwide, spanning both industry and academia. Our journal serves as a platform for researchers actively engaged in the diverse fields of geo-energy systems, providing an academic medium for the exchange of knowledge and ideas. Join us in advancing the frontiers of geo-energy research through collaboration and shared expertise.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信