APyCE: A Python']Python module for parsing and visualizing 3D reservoir digital twin models

被引:0
|
作者
Tosta, Mateus [1 ]
Oliveira, Gustavo P. [1 ]
Wang, Bin [2 ]
Chen, Zhiming [2 ]
Liao, Qinzhuo [2 ]
机构
[1] Univ Fed Paraiba, Dept Comp Sci, ITRIL Lab, BR-58000000 Joao Pessoa, Brazil
[2] China Univ Petr, Natl Key Lab Petr Resources & Engn, Beijing 102249, Peoples R China
来源
ADVANCES IN GEO-ENERGY RESEARCH | 2023年 / 8卷 / 03期
关键词
Reservoir modeling; grid processing; 3D visualization; digital twin;
D O I
10.46690/ager.2023.06.07
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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 opensource 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.
引用
收藏
页码:206 / 210
页数:5
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