Stohastička analiza vremenskih serija podataka o proizvodnji ugljikovodika za procjenu vjerojatnosti dobiti Monte Carlo metodom

Morić, Ivana

prikaz prve stranice dokumenta Stohastička analiza vremenskih serija podataka o proizvodnji ugljikovodika za procjenu vjerojatnosti dobiti Monte Carlo metodom

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

Cite this document

APA 6th Edition

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

MLA 8th Edition

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

Chicago 17th Edition

Harvard

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 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:169:681916

Vancouver

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 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:169:681916

IEEE

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

Cite this item: https://urn.nsk.hr/urn:nbn:hr:169:681916

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Metadata

Title	Stohastička 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
Author	Ivana Morić
Mentor	Domagoj Vulin (mentor)
Mentor	Lucija Jukić (pomoć pri izradi, neposredni voditelj)
Committee member	Domagoj Vulin (predsjednik povjerenstva)
Committee member	Daria Karasalihović Sedlar (član povjerenstva)
Committee member	Luka Perković (član povjerenstva)
Granter	University of Zagreb Faculty of Mining, Geology and Petroleum Engineering (Department of Petroleum and Gas Engineering and energy) Zagreb
Defense date and country	2018-12-14, 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)
Language	croatian
URN:NBN	urn:nbn:hr:169:681916
Study programme	Title: 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 resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	Faculty of Mining, Geology and Petroleum Engineering Repository, University of Zagreb
Created on	2019-02-04 13:52:13

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