«Automation and Informatization of the fuel and energy complex»

Comparative analysis of the methods applied to recover the core samples internal structure using synthetic sinograms

UDC: 004.932:519.63
DOI: 10.33285/2782-604X-2022-11(592)-34-47

Authors:

¹ National University of Oil and Gas (Gubkin University, Moscow, Russia

Keywords: microcomputed tomography, back projection, back projection with filtering, iterative methods for reconstructing the internal structure of a core sample, image comparison metrics, Kaczmarz method, edge detection, Canny algorithm

Annotation:

The article is devoted to modeling the process of computed micro-tomography (MCT) with the purpose of comparative analysis of various methods which are applied for restoring the internal structure of core samples. A schematic computational scheme for the development of MCT simulators has been built. The results of a comparative analysis of the most popular methods for restoring the internal structure of core samples available in the software of modern CT scanners are presented. The authors of the article note that although the algebraic methods are computationally more expensive, their advantage for solving problems of determining the petrophysical properties of a porous medium is undeniable. The second part of the article is devoted to the review and application of various image comparison metrics for solving computed tomography problems. The advantage of the Kaczmarz method is shown, especially in the case of perturbation of measurements by random noise. The possibility of a significant acceleration of 3D algebraic algorithms for reconstructing the internal structure of a translucent object using heterogeneous paralleling procedures is emphasized.

Bibliography:

1. Arsen'ev-Obraztsov S.S. Opredelenie tenzora koeffitsientov pronitsaemosti chislennym modelirovaniem techeniya flyuida na tsifrovoy modeli poristoy sredy // Tr. RGU nefti i gaza im. I.M. Gubkina. – 2015. – № 4(281). – S. 64–77.
2. Arsenyev-Obraztsov S. Generation of Petrophysical Parameters for Forecasting of Oil and Gas Deposits Development, Digital Core and Multi-scale // 2021 14th Int. Conf. Management of large-scale system development (MLSD), Moscow, Russian Federation, Sept. 27–29. – 2021. – DOI: 10.1109/MLSD52249.2021.9600135
3. Arsenyev-Obraztsov S.S., Volkov E.A., Plusch G.O. Proposals on 3D parallel edge-preserving filtration for x-ray tomographic digital images of porous medium core plugs // IOP Conf. Series: Materials Science and Engineering. – 2019. – Vol. 700. 2nd Conf. of Computational Methods in Offshore Technology and First Conf. of Oil and Gas Technology (COTech & OGTech 2019), Stavanger, Norway, Nov. 27–29. – DOI: 10.1088/1757-899X/700/1/012053
4. Canny J. A computational approach to edge detection // IEEE Transactions on Pattern Analysis and Machine Intelligence. – 1986. – Vol. PAMI-8, Issue 6. – P. 679–698. – DOI: 10.1109/TPAMI.1986.4767851
5. Feldkamp L.A., Davis L.C., Kress J.W. Practical cone-beam algorithm // J. of the Optical Society of America A. – 1984. – Vol. 1, Issue 6. – P. 612–619. – DOI: 10.1364/JOSAA.1.000612
6. Preim B., Bartz D. Visualization in Medicine Theory: Algorithms, and Applications. – Amsterdam; Boston: Morgan Kaufmann, 2007. – XXIII, 652 p.
7. Jiang Hsieh. Computed Tomography: Principles, Design, Artifacts, and Recent Advances. – SPIE PRESS Monograph, 2003. – 557 p.
8. Predictive modeling of relative permeability using a generalized equation of state / P. Purswani, R.T. Johns, Z.T. Karpyn, M.J. Blunt // SPE J. – 2021. – Vol. 26, Issue 1. – P. 191–205. – DOI: 10.2118/200410-PA