prikaz prve stranice dokumenta 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
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Scientific paper - Abstract
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
In: Scientific conference abstracts, vol. 1. Saint-Petersburg: Saint-Petersburg Mining University, 2020. pp. 412-413. urn:nbn:hr:169:134008
Kamenski, Ana; Cvetković, Marko

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Kamenski, A. & Cvetković, M. (2020). 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. Scientific conference abstracts, vol. 1 (pp. 412-413). Saint-Petersburg: Saint-Petersburg Mining University. Retrieved from https://urn.nsk.hr/urn:nbn:hr:169:134008

Kamenski, Ana and Marko Cvetković. "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." Scientific conference abstracts, vol. 1, Saint-Petersburg Mining University, 2020, pp. 412-413. https://urn.nsk.hr/urn:nbn:hr:169:134008

Kamenski, Ana and Marko Cvetković. "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." In Scientific conference abstracts, vol. 1, 412-413. Saint-Petersburg: Saint-Petersburg Mining University, 2020. Accessed 2024 April 17. https://urn.nsk.hr/urn:nbn:hr:169:134008

Kamenski, A. and Cvetković, M. (2020) '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', Scientific conference abstracts, vol. 1, Saint-Petersburg Mining University, Saint-Petersburg, pp. 412-413. Available at: https://urn.nsk.hr/urn:nbn:hr:169:134008 (Accessed 17 April 2024)

Kamenski A, Cvetković M. 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. Scientific conference abstracts, vol. 1. Saint-Petersburg: Saint-Petersburg Mining University; 2020. Pp. 412-413. [cited 2024 April 17] Available at: https://urn.nsk.hr/urn:nbn:hr:169:134008

A. Kamenski and M. Cvetković, "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", Scientific conference abstracts, vol. 1 Saint-Petersburg: Saint-Petersburg Mining University, 2020. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:169:134008 [Accessed: 17 April 2024]

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Metadata
Title (english)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
AuthorAna Kamenski https://orcid.org/0000-0002-1237-1007
AuthorMarko Cvetković
Author's institutionCroatian Geological Survey
Author's institutionUniversity of Zagreb
Faculty of Mining, Geology and Petroleum Engineering
(Department of Geology and Geological Engineering)
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Geology
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Geophysics
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mining, Petroleum and Geology Engineering
Abstract (english)
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.
Keywords (english)
Languageenglish
Publication typeScientific paper - Abstract
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Publication titleScientific conference abstracts, vol. 1
Numberingpp. 412-413
ISBN9785942119157
URN:NBNurn:nbn:hr:169:134008
Publication2020
ConferenceTitle: XVI International Forum-Contest of Students and Young Researchers "Topical Issues of Rational Use of Natural Resources"
Location: St. Petersburg, Russian Federation
Start date: 2020-06-17
End date: 2020-06-19
Assembly type: Lecture
Type of resourceText
PublisherSaint-Petersburg Mining University
Publishing placeSaint-Petersburg
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-04-09 07:43:00