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master's thesis
Stohastička analiza vremenskih serija podataka o proizvodnji ugljikovodika za procjenu vjerojatnosti dobiti Monte Carlo metodom
diplomski rad
Zagreb: University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, 2018. urn:nbn:hr:169:681916
Morić, Ivana
University of Zagreb
Faculty of Mining, Geology and Petroleum Engineering
Department of Petroleum and Gas Engineering and energy

Institutional repository: Faculty of Mining, Geology and Petroleum Engineering Repository, University of Zagreb

Cite this document

Morić, I. (2018). Stohastička analiza vremenskih serija podataka o proizvodnji ugljikovodika za procjenu vjerojatnosti dobiti Monte Carlo metodom : diplomski rad (Master's thesis). Zagreb: University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:169:681916

Morić, Ivana. "Stohastička analiza vremenskih serija podataka o proizvodnji ugljikovodika za procjenu vjerojatnosti dobiti Monte Carlo metodom : diplomski rad." Master's thesis, University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:169:681916

Morić, Ivana. "Stohastička analiza vremenskih serija podataka o proizvodnji ugljikovodika za procjenu vjerojatnosti dobiti Monte Carlo metodom : diplomski rad." Master's thesis, University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, 2018. https://urn.nsk.hr/urn:nbn:hr:169:681916

Morić, I. (2018). 'Stohastička analiza vremenskih serija podataka o proizvodnji ugljikovodika za procjenu vjerojatnosti dobiti Monte Carlo metodom : diplomski rad', Master's thesis, University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, accessed 30 July 2024, https://urn.nsk.hr/urn:nbn:hr:169:681916

Morić I. Stohastička analiza vremenskih serija podataka o proizvodnji ugljikovodika za procjenu vjerojatnosti dobiti Monte Carlo metodom : diplomski rad [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering; 2018 [cited 2024 July 30] Available at: https://urn.nsk.hr/urn:nbn:hr:169:681916

I. Morić, "Stohastička analiza vremenskih serija podataka o proizvodnji ugljikovodika za procjenu vjerojatnosti dobiti Monte Carlo metodom : diplomski rad", Master's thesis, University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:169:681916

Metadata
TitleStohastička analiza vremenskih serija podataka o proizvodnji ugljikovodika za procjenu vjerojatnosti dobiti Monte Carlo metodom : diplomski rad
Title (english)Stochastic time series analysis for production data and price of hydrocarbons for estimating probability of profit with the Monte Carlo method and Markov chains : master’s thesis
AuthorIvana Morić
MentorDomagoj Vulin (mentor)
MentorLucija Jukić (pomoć pri izradi, neposredni voditelj)
Committee memberDomagoj Vulin (predsjednik povjerenstva)
Committee memberDaria Karasalihović Sedlar (član povjerenstva)
Committee memberLuka Perković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Mining, Geology and Petroleum Engineering
(Department of Petroleum and Gas Engineering and energy)
Zagreb
Defense date and country2018-12-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mining, Petroleum and Geology Engineering
Petroleum Mining
Abstract
Prikupljeni su publicirani podatci iz različitih izvora o proizvodnji iz naftnih i plinskih ležišta. Podatci su poslužili za izradu baze podataka, te programskog koda koji daje grafički prikaz analize krivulje pada proizvodnje. Služeći se dobivenim rezultatima, analiza je provedena deterministički jednom od Arpsovih krivulja za analizu proizvodnje. Osim Arpsovim formulama, za dodatnu točnost, izrađen je i kod za stohastičku analizu Monte Carlo metodom. Dobiveni rezultati analize krivulje pada proizvodnje povezani su s ekonomskim proračunom sadašnje vrijednosti koja omogućava financijski aspekt u investicijske odluke daljnje proizvodnje nekog ležišta. Ekonomska analiza provedena je upotrebom koda izrađenog u svrhu ovog rada, da bi se olakšale procjene i izbjegli veliki proračuni u MS Excel-u.
Abstract (english)
Published data from various sources on the production of oil and gas reservoirs. The data was used to create a database and a program code that gives a graphical representation of the output curve analysis. Using the results, the analysis was performed deterministically with one of Arps's production analysis curves. Apart from Arps' formulas, for better accuracy, a code for stochastic analysis was made using the Monte Carlo method. The results of the decline curve analysis in the output curve can be linked to the present economic value of the budget, which provides the financial aspect in the investment decisions for the further production of a deposit. Economic analysis was carried out using code programmed for the purpose of this paper because of easier estimate and avoid large budgets in MS Excel.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:169:681916
Study programmeTitle: Petroleum engineering; specializations in: Petroleum engineering, Energy production and supply, Environmental protection in petroleum engineering
Course: Energy production and supply
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka naftnog rudarstva (magistar/magistra inženjer/inženjerka naftnog rudarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-02-04 13:52:13