Application of the bootstrap method on a large input data set - case study western part of the Sava Depression

Scientific paper - Original scientific paper

• Title (croatian): Primjena samonadopunjujuće metode na velikome skupu ulaznih podataka – primjena na zapadnome dijelu Savske depresije
• Author: Josip Ivšinović
• Author: Nikola Litvić
• Author's institution: University of Zagreb; Faculty of Mining, Geology and Petroleum Engineering
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mining, Petroleum and Geology Engineering
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Geology

Abstract (english)

The bootstrap method is a nonparametric statistical method that through the resampling of an input data set provides the ability to obtain a new data set that is normally distributed. Due to various factors, it is difficult to obtain many data sets for deep geological data, and in most cases, they are not normally distributed. Therefore, it is necessary to introduce a statistical tool that will enable obtaining a set with which statistical analyses can be done. The bootstrap method was applied to field “A”, reservoir “L” located in the western part of the Sava Depression. It was applied to the geological variable of porosity on a set of 25 data points. The minimum number of resamplings required for a large sample to obtain a normal distribution is 1000. Interval estimation of porosity for reservoir “L” obtained by the bootstrap method is 0.1875 to 0.2144 with a 95% confidence level.

Abstract (croatian)

Samonadopunjujuća metoda neparametarska je statistička metoda koja omogućuje ponovnim uzorkovanjem ulazni skup podataka za dobivanje novoga skupa podataka koji je normalno distribuiran. Zbog različitih čimbenika teško je doći do geoloških podataka u velikome skupu, a u većini slučajeva nisu normalno distribuirani. Stoga je potrebno uvesti statistički alat koji će omogućiti dobivanje skupa s kojim se mogu raditi statističke analize. Samonadopunjujuća metoda primijenjena je na polju „A”, ležište „L” koje se nalazi u zapadnome dijelu Savske depresije. Primijenjena je na geološku varijablu šupljikavosti na skupu od 25 podataka. Minimalni broj ponovnoga uzorkovanja potreban za veliki uzorak da bi se dobila normalna raspodjela iznosi 1000. Intervalna procjena šupljikavosti za ležište „L” dobivena samonadopunjujućom metodom iznosi 0,1875 do 0,2144 s razinom pouzdanosti od 95 %.

• Keywords (english): bootstrap; porosity; large data set; normality tests; Sava Depression
• Keywords (croatian): samonadopunjavanje; šupljikavost; veliki skup podataka; testovi za postojanje normalne razdiobe; Savska depresija
• Language: english
• Publication type: Scientific paper - Original scientific paper
• Publication status: Published
• Peer review: Peer review - international
• Publication version: Published version
• Journal title: Rudarsko-geološko-naftni zbornik
• Numbering: vol. 36, no. 5, pp. 13-19
• p-ISSN: 0353-4529
• e-ISSN: 1849-0409
• DOI: https://doi.org/10.17794/rgn.2021.5.2
• URN:NBN: urn:nbn:hr:169:833198
• Publication: 2021
• Document URL: https://hrcak.srce.hr/266372
• Type of resource: Text
• Access conditions: Open access
• Created on: 2025-03-03 09:31:47