Pregled bibliografske jedinice broj: 1073888
Reducing uncertainty in the deep-geological characterization of rocks in the inter-well area by using mathematical and statistical tools in the processing of geophysical and well data
Reducing uncertainty in the deep-geological characterization of rocks in the inter-well area by using mathematical and statistical tools in the processing of geophysical and well data // TOPICAL ISSUES OF RATIONAL USE OF NATURAL RESOURCES: Scientific Conference Abstracts. Saint-Petersburg Mining University. St. Petersburg, 2020. P. 463. (XVI International Forum-Contest of Students and Young Researchers. 17-19 June 2020) / Borzenkov, Vladimir T. ; Dvoinikov, Mikhail V. ; Shchipachev, Andrey M. ; Bazhin, Vladimir Yu. ; Alexandrova, Tatiana N. ; Kazanin, Oleg I. ; Demenkov, Petr A. ; Egorov, Alexey S. ; Cherepovytsin, Alexey E. ; Maksarov, Vyacheslav V. ; Shpenst, Vadim A. ; Pashkevich Maria A. (ur.).
Sankt Peterburg: CRS Press/Balkema (Taylor & Francis Group, Netherlands), 2020. str. 412-413 (predavanje, međunarodna recenzija, prošireni sažetak, znanstveni)
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Naslov
Reducing uncertainty in the deep-geological
characterization of rocks in the inter-well
area by using mathematical and statistical
tools in the processing of geophysical and well
data
Autori
Kamenski, Ana ; Cvetković, Marko
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni
Izvornik
TOPICAL ISSUES OF RATIONAL USE OF NATURAL RESOURCES: Scientific Conference Abstracts. Saint-Petersburg Mining University. St. Petersburg, 2020. P. 463. (XVI International Forum-Contest of Students and Young Researchers. 17-19 June 2020)
/ Borzenkov, Vladimir T. ; Dvoinikov, Mikhail V. ; Shchipachev, Andrey M. ; Bazhin, Vladimir Yu. ; Alexandrova, Tatiana N. ; Kazanin, Oleg I. ; Demenkov, Petr A. ; Egorov, Alexey S. ; Cherepovytsin, Alexey E. ; Maksarov, Vyacheslav V. ; Shpenst, Vadim A. ; Pashkevich Maria A. - Sankt Peterburg : CRS Press/Balkema (Taylor & Francis Group, Netherlands), 2020, 412-413
ISBN
978-5-94211-914-0
Skup
XVI International Forum-contest of students and young scientists "Topical Issues of Rational Use of Natural Resources"
Mjesto i datum
Sankt Peterburg, Ruska Federacija, 17.06.2020. - 19.06.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
lithology ; subsurface ; geophysical and well data ; artificial neural network
Sažetak
Proper assessment of the distribution of lithological composition in the subsurface is one of the key elements in the deep-geological characterization. Conventional estimation of lithology distribution has high dose of uncertainty in regional surveys, where wells are widely and irregulary spaced. The purpose of this paper was to analyze the data using both geostatistics and geological knowledge as objectively and realistically as possible.
Izvorni jezik
Engleski
Znanstvena područja
Geologija, Geofizika, Rudarstvo, nafta i geološko inženjerstvo
POVEZANOST RADA
Ustanove:
Hrvatski geološki institut,
Rudarsko-geološko-naftni fakultet, Zagreb