INTEGRATION OF BIG DATA ANALYSIS AND ENGINEERING ADVANCED ANALYTICS TO INTELLIGENTLY MANAGE AND CONTROL COMPLETIONS AND ARTIFICIAL LIFT FOR SELECTED WELL IN CROATIA (CROSBI ID 439526)
Ocjenski rad | diplomski rad
Podaci o odgovornosti
Miličević, Monika
Pašić, Borivoje
engleski
INTEGRATION OF BIG DATA ANALYSIS AND ENGINEERING ADVANCED ANALYTICS TO INTELLIGENTLY MANAGE AND CONTROL COMPLETIONS AND ARTIFICIAL LIFT FOR SELECTED WELL IN CROATIA
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.
intelligent completion ; ICV ; neural network ; classification problem ; prediction
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23.09.2019.
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