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Title

Two-dimensional upscaling of reservoir data using adaptive bandwidth in the kernel function

مجله بین المللی معدن و مهندسی زمین، دوره: 54، شماره: 2
Year: 1399
COI: JR_IJMGE-54-2_005
Language: EnglishView: 214
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Authors

Mohammadreza Azad - Phd Student of Shahrood university of Technology
Abulghasem Kamkar Ruhani - Faculty of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran
Behzad Tokhmechi - Faculty of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran
Mohammad Arashi - Faculty of Mathematical Science, Shahrood University of Technology, Shahrood, Iran

Abstract:

In this paper, a new method called adaptive bandwidth in the kernel function has been used for two-dimensional upscaling of reservoir data. Bandwidth in the kernel can be considered as a variability parameter in porous media. Given that the variability of the reservoir characteristics depends on the complexity of the system, either in terms of geological structure or the specific feature distribution, variations must be considered differently for upscaling from a fine model to a coarse one. The upscaling algorithm, introduced in this paper, is based on the kernel function bandwidth, written in combination with the A* search algorithm and the first-depth search algorithm. In this algorithm, each cell in its x and y neighborhoods as well as the optimal bandwidth, obtained in two directions will be able to be merged with its adjacent cells. The upscaling process is performed on artificial data with 30×30 grid dimensions and SPE-10 model as real data. Four modes are used to start the point of upscaling and the process is performed according to the desired pattern, and in each case, the upscaling error and the number of final upscaled blocks are obtained. Based on the number of coarsen cells as well as the upscaling error, the first pattern is selected as the optimal pattern for synthetic data and the second pattern is selected as the optimal simulator model for real data. In this model, the number of cells was 236 and 3600, and the upscaling errors for synthetic and real data were 0.4183 and 12.2, respectively. The results of the upscaling in the real data were compared with the normalization method and showed that the upscaling error of the normalization method was 15 times the upscaling error of the kernel bandwidth algorithm.

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Paper COI Code

This Paper COI Code is JR_IJMGE-54-2_005. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1029900/

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Azad, Mohammadreza and Kamkar Ruhani, Abulghasem and Tokhmechi, Behzad and Arashi, Mohammad,1399,Two-dimensional upscaling of reservoir data using adaptive bandwidth in the kernel function,https://civilica.com/doc/1029900

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Type of center: دانشگاه دولتی
Paper count: 8,570
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