APyCE: A Python module for parsing and visualizing 3D reservoir digital twin models
Abstract view|104|times PDF download|70|times
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 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.
Document Type: Short communication
Cited as: Tosta, M., Oliveira, G. P., Wang, B., Chen, Z., Liao, Q. APyCE: A Python module for parsing and visualizing 3D reservoir digital twin models. Advances in Geo-Energy Research, 2023, 8(3): 206-210. https://doi.org/10.46690/ager.2023.06.07
Keywords
Full Text:
PDFReferences
Ayachit, U., Geveci, B., Avila, L. The Paraview Guide: A Parallel Visualization Application. Kitware, New York, USA, 2015.
Lie, K. A. An introduction to reservoir simulation using MATLAB/GNU Octave: User guide for the MATLAB Reservoir Simulation Toolbox (MRST). Cambridge, UK, Cambridge University Press, 2019.
Masison, J., Beezley, J., Mei, Y. et al. A modular computational framework for medical digital twins. Proceedings of the National Academy of Sciences of the United States of America, 2021, 118(20): e2024287118.
Ponting, D. K. Corner point geometry in reservoir simulation. European Association of Geoscientists & Engineers, 1989: cp-234.
Schlumberger. Eclipse Reservoir Simulation Software Reference Manual. Schlumberger, Texas, USA, 2014.
Schroeder, W., Martin, K. M., Lorensen, W. E. The Visualization Toolkit An Object-Oriented Approach to 3D Graphics. Prentice-Hall, New Jersey, USA, 1998.
Sircar, A., Nair, A., Bist, N. et al. Digital twin in hydrocarbon industry. Petroleum Research, 2022, in press, https://doi.org/10.1016/j.ptlrs.2022.04.001.
Sullivan, C., Kaszynski, A. Pyvista: 3d plotting and mesh analysis through a streamlined interface for the visualization toolkit (vtk). Journal of Open Source Software, 2019, 4(37): 1450.
Sun, S., Zhang, T. A 6m digital twin for modeling and simulation in subsurface reservoirs. Advances in Geo-Energy Research, 2020, 4(4): 349-351.
Wang, B. Pygrdecl a python-based grdecl visualization library, 2018.
DOI: https://doi.org/10.46690/ager.2023.06.07
Refbacks
- There are currently no refbacks.
Copyright (c) 2023 The Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.