Integrated batch simulation and SQL database design for big data analysis

master's thesis

• Title: Integrated batch simulation and SQL database design for big data analysis : master's thesis
• Title (croatian): Integrirana grupna simulacija i dizajn SQL baze podataka za analizu velikih podataka : diplomski rad
• Author: Ante Dujaković
• Mentor: Domagoj Vulin (mentor)
• Mentor: Maja Arnaut (pomoć pri izradi, neposredni voditelj)
• Committee member: Domagoj Vulin (predsjednik povjerenstva)
• Committee member: Karolina Novak Mavar (član povjerenstva)
• Committee member: Vladislav Brkić (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: 2024-09-30, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mining, Petroleum and Geology Engineering; Petroleum Mining

Abstract

This thesis presents an integrated approach to improve reservoir management by developing a structured SQL database and batch simulation process. Conventional reservoir simulations, which operate in isolation, often face limitations in scalability and efficiency. The proposed integrated system overcomes these challenges by enabling simultaneous execution of multiple simulation scenarios, coupled with robust data management capabilities. This integration enables faster computation, better resource allocation and higher accuracy through a systematic organization of vast datasets. The thesis underscores the potential of this innovative approach to significantly influence future practices in reservoir simulation and big data analytics, extending its implications beyond the academic sphere into practical applications in the petroleum industry. This research establishes a pioneering methodology that promises to revolutionize reservoir management strategies and big data processing in petroleum engineering.

Abstract (croatian)

Ovaj rad predstavlja integrirani pristup unaprijeđenju upravljanja ležištima kroz razvoj strukturirane SQL baze podataka i procesa grupne simulacije. Tradicionalne ležišne simulacije, koje djeluju izolirano, često se suočavaju s ograničenjima u skalabilnosti i učinkovitosti. Predloženi integrirani sustav prevladava te izazove omogućujući istovremenu izvedbu više simulacijskih scenarija, u kombinaciji s naprednim upravljanjem podacima. Ova integracija omogućuje brzinu, bolju alokaciju resursa i poboljšanu točnost kroz sustavnu organizaciju ogromnih skupova podataka. Rad naglašava potencijal ovog inovativnog pristupa da značajno utječe na buduće prakse u simulaciji ležišta i analitici velikih podataka, proširujući svoje implikacije i na praktične primjene u naftnoj industriji. Kroz ovo istraživanje uspostavlja se metodologija koja obećava revolucionirati strategije upravljanja ležištima i obradu velikih podataka u naftnom inženjerstvu.

• Keywords: batch simulation; SQL; database design; Python; big data analysis; reservoir management; reservoir simulation; data integration and storage; optimization
• Keywords (english): grupna simulacija; SQL; dizajn baze podataka; Python; analiza velikih podataka; upravljanje ležištem; ležišne simulacije; integracija i pohrana podataka; optimizacija
• Language: english
• URN:NBN: urn:nbn:hr:169:697830
• 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
• Created on: 2024-12-17 12:39:36