APPLYING ARTIFICIAL NEURAL NETWORK MODEL TO INFER THE OIL PRODUCTION RATES OF SUCKER-ROD PUMPING WELLS IN FIELD X
Oil production rates are frequently monitored for better reservoir management. Oil-flow measurements can be performed using several metering systems and techniques such as orifice meters and a multi-phase flow system. Production tests are often brief, in many cases, they are not representatives. If...
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Main Author: | S M Simanjuntak, Ricky |
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/48117 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
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