prikaz prve stranice dokumenta Application of the modified Shepard’s method (MSM) : a case study with the interpolation of Neogene reservoir variables in northern Croatia
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Scientific paper - Original scientific paper
Application of the modified Shepard’s method (MSM) : a case study with the interpolation of Neogene reservoir variables in northern Croatia
Stats, 3 (2020), 1; 68-83. https://doi.org/10.3390/stats3010007
Malvić, Tomislav; Ivšinović, Josip; Velić, Josipa; Sremac, Jasenka; Barudžija, Uroš

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Malvić, T., Ivšinović, J., Velić, J., Sremac, J. & Barudžija, U. (2020). Application of the modified Shepard’s method (MSM) : a case study with the interpolation of Neogene reservoir variables in northern Croatia. Stats, 3. (1), 68-83. doi: 10.3390/stats3010007

Malvić, Tomislav, et al. "Application of the modified Shepard’s method (MSM) : a case study with the interpolation of Neogene reservoir variables in northern Croatia." Stats, vol. 3, no. 1, 2020, pp. 68-83. https://doi.org/10.3390/stats3010007

Malvić, Tomislav, Josip Ivšinović, Josipa Velić, Jasenka Sremac and Uroš Barudžija. "Application of the modified Shepard’s method (MSM) : a case study with the interpolation of Neogene reservoir variables in northern Croatia." Stats 3, no. 1 (2020): 68-83. https://doi.org/10.3390/stats3010007

Malvić, T., et al. (2020) 'Application of the modified Shepard’s method (MSM) : a case study with the interpolation of Neogene reservoir variables in northern Croatia', Stats, 3(1), pp. 68-83. doi: 10.3390/stats3010007

Malvić T, Ivšinović J, Velić J, Sremac J, Barudžija U. Application of the modified Shepard’s method (MSM) : a case study with the interpolation of Neogene reservoir variables in northern Croatia. Stats [Internet]. 2020 March 23 [cited 2024 November 12];3(1):68-83. doi: 10.3390/stats3010007

T. Malvić, J. Ivšinović, J. Velić, J. Sremac and U. Barudžija, "Application of the modified Shepard’s method (MSM) : a case study with the interpolation of Neogene reservoir variables in northern Croatia", Stats, vol. 3, no. 1, pp. 68-83, March 2020. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:169:963215. [Accessed: 12 November 2024]

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Metadata
Title (english)Application of the modified Shepard’s method (MSM) : a case study with the interpolation of Neogene reservoir variables in northern Croatia
AuthorTomislav Malvić
AuthorJosip Ivšinović
AuthorJosipa Velić
AuthorJasenka Sremac
AuthorUroš Barudžija
Author's institutionUniversity of Zagreb
Faculty of Science
Author's institutionUniversity of Zagreb
Faculty of Mining, Geology and Petroleum Engineering
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Geology
Abstract (english)
Interpolation is a procedure that depends on the spatial and/or statistical properties of the analysed variable(s). It is a particularly challenging task for small datasets, such as in those with less than 20 points of data. This problem is common in subsurface geological mapping, i.e., in cases where the data is taken solely from wells. Successful solutions of such mapping problems depend on interpolation methods designed primarily for small datasets and the datasets themselves. Here, we compare two methods, Inverse Distance Weighting and the Modified Shepard’s Method, and apply them to three variables (porosity, permeability, and thickness) measured in the Neogene sandstone hydrocarbon reservoirs (northern Croatia). The results show that cross-validation itself will not provide appropriate map selection, but, in combination with geometrical features, it can help experts eliminate the solutions with low-probable structures/shapes. The Golden Software licensed program Surfer 15 was used for the interpolations in this study.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titleStats
Numberingvol. 3, no. 1, pp. 68-83
e-ISSN2571-905X
DOIhttps://doi.org/10.3390/stats3010007
URN:NBNurn:nbn:hr:169:963215
Publication2020-03-23
Document URLhttps://www.mdpi.com/2571-905X/3/1/7
Type of resourceText
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2020-05-26 15:24:32