Abstract
An algorithm of methods selection for processing multidimensional heterogeneous data based on the general properties of the data used and the methods included in the review is proposed in this paper. The algorithm is implemented in the form of software and a group of interpolation algorithms is compared by the example of the problem of constructing an oil field model for field development designing. It is shown that the proposed algorithm for selecting data processing methods works successfully for a group of data interpolation methods.
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The work was supported by RFBR, Grant 19-07-00844Â A.
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Zakharova, A.A., Nebaba, S.G., Zavyalov, D.A. (2019). The Algorithm for the Classification of Methods for Processing Multidimensional Heterogeneous Data in Application to Designing of Oil Fields Development. In: Kravets, A., Groumpos, P., Shcherbakov, M., Kultsova, M. (eds) Creativity in Intelligent Technologies and Data Science. CIT&DS 2019. Communications in Computer and Information Science, vol 1083. Springer, Cham. https://doi.org/10.1007/978-3-030-29743-5_13
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DOI: https://doi.org/10.1007/978-3-030-29743-5_13
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