Naslov
INTEGRACIJA „BIG DATA“ ANALIZE I INŽENJERSKOG NAČINA RAZMIŠLJANJA S CILJEM UPRAVLJANJA I KONTROLIRANJA INTELIGENTNOG OPREMANJA I UMJETNOG NAČINA PODIZANJA NAFTE I PLINA ZA ODABRANU BUŠOTINU S PODRUČJA HRVATSKE
(INTEGRATION OF BIG DATA ANALYSIS AND ENGINEERING ADVANCED ANALYTICS TO INTELLIGENTLY MANAGE AND CONTROL COMPLETIONS AND ARTIFICIAL LIFT FOR SELECTED WELL IN CROATIA)

Autori
Miličević, Monika

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski

Fakultet
Rudarsko-geološko-naftni fakultet

Mjesto
Zagreb

Datum
23.09

Godina
2019

Stranica
73

Mentor
Pašić, Borivoje

Ključne riječi
inteligentno opremanje ; intervalni kontrolni ventil ; neuronska mreža ; problem klasifikacije ; predikcija
(intelligent completion ; ICV ; neural network ; classification problem ; prediction)

Sažetak
In order to reach more complex reservoir and increase ultimate recovery, engineers are searching for new technologies. One of these is intelligent completion which provides system monitoring, fluid production or injection control, and optimization. Operator can make decisions about managing completion based on real-time data coming from the downhole sensors. In addition, machine learning is becoming more popular in the oil industry. It finds application in automatization of processes and reducing time and error in decision making process. The aim of the thesis is to couple intelligent completion with machine learning (neural network) on the real example-gas well. The goal is to see if neural network can predict optimal interval control valve sizes for specific scenarios.

Izvorni jezik
Engleski

Znanstvena područja
Rudarstvo, nafta i geološko inženjerstvo

POVEZANOST RADA