A comprehensive benchmark between two filter-based multiple-point simulation algorithms

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Bavand Savadkoohi m.; TOKHMECHI B.; Gloaguen E.; ARAB AMIRI A.R.

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Journal: JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES) Year:2019 | Volume:10 | Issue:1 Page(s): 139-149

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Information Journal Paper

Title

A comprehensive benchmark between two filter-based multiple-point simulation algorithms

Author(s)

Bavand Savadkoohi m. | TOKHMECHI B. | Gloaguen E. | ARAB AMIRI A.R. | Issue Writer Certificate

Keywords

Multiple-Point SimulationQ1

Filter-Based AlgorithmsQ1

Geostatistical SimulationQ1

FILTERSIM AlgorithmQ1

CCWSIM AlgorithmQ1

Abstract

Computer graphics offer various gadgets to enhance the reconstruction of high-order statistics that are not correctly addressed by the two-point statistics approaches. Almost all the newly developed multiple-point geostatistics (MPS) algorithms, to some extent, adapt these techniques to increase the simulation accuracy and efficiency. In this work, a scrutiny comparison between our recently developed MPS algorithm, the crosscorrelation-wavelet simulation (CCWSIM), and a well-known MPS algorithm, FILTERSIM, is performed. The main motivation to benchmark these two algorithms is that both exploit some digital image processing filters for feature extraction. Indeed, both algorithms compute the similarity (or dissimilarity) between data events in simulation grid and training image in the feature space. In order to compare the accuracy of the algorithms, some statistics such as facies proportion, variogram, and connectivity function are computed. The results obtained reveal an excellent agreement of the CCWSIM realizations with the training image rather than FILTERSIM. Furthermore, on average, the required simulation runtime for CCWSIM is at least 10 times less than that for FILTERSIM.

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APA: Copy

Bavand Savadkoohi, m., TOKHMECHI, B., Gloaguen, E., & ARAB AMIRI, A.R.. (2019). A comprehensive benchmark between two filter-based multiple-point simulation algorithms. JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES), 10(1 ), 139-149. SID. https://sid.ir/paper/256345/en

Vancouver: Copy

Bavand Savadkoohi m., TOKHMECHI B., Gloaguen E., ARAB AMIRI A.R.. A comprehensive benchmark between two filter-based multiple-point simulation algorithms. JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES)[Internet]. 2019;10(1 ):139-149. Available from: https://sid.ir/paper/256345/en

IEEE: Copy

m. Bavand Savadkoohi, B. TOKHMECHI, E. Gloaguen, and A.R. ARAB AMIRI, “A comprehensive benchmark between two filter-based multiple-point simulation algorithms,” JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES), vol. 10, no. 1 , pp. 139–149, 2019, [Online]. Available: https://sid.ir/paper/256345/en

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