Stohastička procjena tortuoziteta digitalnog uzorka stijene

master's thesis

• Title: Stohastička procjena tortuoziteta digitalnog uzorka stijene : diplomski rad
• Title (english): Stochastic prediction of tortuosity of digital rock sample : master's thesis
• Author: Robert Šimić
• Mentor: Domagoj Vulin (mentor)
• Mentor: Marko Gaćina (pomoć pri izradi, neposredni voditelj)
• Committee member: Domagoj Vulin (predsjednik povjerenstva)
• Committee member: Vladislav Brkić (član povjerenstva)
• Committee member: Borivoje Pašić (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: 2022-09-15, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mining, Petroleum and Geology Engineering; Petroleum Mining

Abstract

Izrađen je računalni kod, koji računa tortuozitet, tj. koeficijent zakrivljenosti pora iz digitalnog uzorka segmentirane i binarizirane CT slike stijene, za koju su, na temelju prethodno izrađenih modula (in-house kód RGN fakulteta), određeni povezani putevi kroz porni sustav. Algoritam se služi stohastičkim pristupom tj. koristi modificiranu metodu slučajnog hoda te se za skretanje putanje unutar pornih kanala koristi normalna raspodjela za koju je moguće definirati različite standardne devijacije. Uz standardnu devijaciju veću od 1,0 ustanovljeno je da rezultati postaju sličniji i da se poklapaju s nekim algoritmima drugih autora, koji su također testirani na istom digitalnom uzorku.

Abstract (english)

Tortuosity, or the curvature coefficient of pores, was computed using a digital sample of a segmented and binarized CT image of the rock and interconnected pathways across the pore system, which were found using previously created modules (in-house code of the RGN Faculty). The program employs a stochastic approach, i.e., a modified random walk technique with a normal distribution, for which different standard deviations can be chosen to simulate the drift from the shortest path inside the pore channels. When the standard deviation exceeds 1.0, the outputs become more comparable and correspond with several algorithms developed by other authors that have been evaluated using the same digital sample.

• Keywords: digitalna jezgra; digitalna fizika stijena; analiza mikro-tomografskih slika; koeficijent zakrivljenosti pora; tortuozitet; slučajni hod; stohastička simulacija
• Keywords (english): digital core; digital rock physics; analysis of micro-tomographic images; pore curvature coefficient; tortuosity; random walk; stochastic simulation
• Language: croatian
• URN:NBN: urn:nbn:hr:169:554672
• Study programme: Title: Petroleum engineering; specializations in: Petroleum engineering, Energy production and supply, Environmental protection in petroleum engineering; Course: Petroleum engineering; 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
• Created on: 2022-10-05 10:46:29