Pregled bibliografske jedinice broj: 930125
Coupling reservoir permeability with granulometric heterogeneity using programming language R
Coupling reservoir permeability with granulometric heterogeneity using programming language R // Geomathematics - present and future of geological modelling / Cvetković, Marko ; Novak Zelenika, Kristina ; Horvath, Janina ; Gabor Hatvani, Istvan (ur.).
Zagreb: Hrvatski geološki institut, 2016. str. 59-66 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 930125 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Coupling reservoir permeability with granulometric heterogeneity using programming language R
Autori
Hren, Maja ; Gaćina, Marko ; Vulin, Domagoj
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Geomathematics - present and future of geological modelling
/ Cvetković, Marko ; Novak Zelenika, Kristina ; Horvath, Janina ; Gabor Hatvani, Istvan - Zagreb : Hrvatski geološki institut, 2016, 59-66
ISBN
978-953-59036-1-1
Skup
8th Croatian-Hungarian and 19th Hungarian geomathematical congress
Mjesto i datum
Zagreb, Hrvatska, 26.05.2016. - 28.05.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
grain size distribution ; permeability correlation ; granulometric heterogeneity ; programming language R
Sažetak
The purpose of this study is to improve the permeability correlations, which mostly do not account for the effects of sorting. With an assumption that grain size distribution is connected with pore size distribution, statistical analysis of grain size, porosity and permeability was done. While there are published methods to estimate the grain size standard deviation and geometric mean from usually used uneven sieve mesh sizes, those parameters were obtained by statistical resampling method. Further distribution parameters (and types) were tested in statistical programming language R. Modified correlation for estimating permeability based on grain size is compared with published empirical correlations and gives the most satisfying results. Considering that the distribution type affects the correlation, further correlation modifications and improvements are proposed.
Izvorni jezik
Engleski
Znanstvena područja
Rudarstvo, nafta i geološko inženjerstvo
POVEZANOST RADA
Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb