Version 1
: Received: 5 November 2020 / Approved: 6 November 2020 / Online: 6 November 2020 (10:33:27 CET)
How to cite:
Ivšinović, J.; Malvić, T.; Pleše, D. Application of the Bootstrap Method in Data Analysis of Upper Miocene Sandstone Reservoirs of the Western Part of the Sava Depression. Preprints2020, 2020110239. https://doi.org/10.20944/preprints202011.0239.v1
Ivšinović, J.; Malvić, T.; Pleše, D. Application of the Bootstrap Method in Data Analysis of Upper Miocene Sandstone Reservoirs of the Western Part of the Sava Depression. Preprints 2020, 2020110239. https://doi.org/10.20944/preprints202011.0239.v1
Ivšinović, J.; Malvić, T.; Pleše, D. Application of the Bootstrap Method in Data Analysis of Upper Miocene Sandstone Reservoirs of the Western Part of the Sava Depression. Preprints2020, 2020110239. https://doi.org/10.20944/preprints202011.0239.v1
APA Style
Ivšinović, J., Malvić, T., & Pleše, D. (2020). Application of the Bootstrap Method in Data Analysis of Upper Miocene Sandstone Reservoirs of the Western Part of the Sava Depression. Preprints. https://doi.org/10.20944/preprints202011.0239.v1
Chicago/Turabian Style
Ivšinović, J., Tomislav Malvić and Dubravka Pleše. 2020 "Application of the Bootstrap Method in Data Analysis of Upper Miocene Sandstone Reservoirs of the Western Part of the Sava Depression" Preprints. https://doi.org/10.20944/preprints202011.0239.v1
Abstract
In deep geological analysis of data, these are input data that are few and include a small set of data. In a small set of case data, it is necessary to obtain reliable data of individual geological variables from this type of data. The paper analyzes the possibility of applying the bootstrap method on variables that are important in the exploration and production of hydrocarbons. The variables analyzed were the following: porosity and total costs of disposal formation water. The case study was made on the data of reservoir "K", field "B" located in the western part of the Sava Depression. The analysis of the results showed the possibility of applying the bootstrap method in the analysis of deep geological data with the application of three different sizes of resampling dataset.
Keywords
Sava Depression; bootstrap; geostatistics; disposal formation water; porosity
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
