PREDICTION OF WELLBORE CLEANOUT PARAMETERS IN MATURE FIELDS USING ARTIFICIAL NEURAL NETWORKS
Ahmed Hamdy Ahmed Abdelghany El Beltagy;
Abstract
Recently, the Applications of the Artificial Intelligence in oil industry is increasing and seem to be promising. Using artificial neural networks it is possible to predict well bore cleanout parameters in mature field in western and eastern desert in Egypt. This target was achieved by using three main individual neural networks that successfully predict the cloud envelop results for the output parameters stated for the wellbore cleanout design.
Other data
| Title | PREDICTION OF WELLBORE CLEANOUT PARAMETERS IN MATURE FIELDS USING ARTIFICIAL NEURAL NETWORKS | Other Titles | التنبؤ بعوامل تنظيف حفرة البئر في الحقول الناضبة باستخدام شبكات الخلايا العصبية الاصطناعية | Authors | Ahmed Hamdy Ahmed Abdelghany El Beltagy | Issue Date | 2020 |
Attached Files
| File | Size | Format | |
|---|---|---|---|
| BB7294.pdf | 1.77 MB | Adobe PDF | View/Open |
Similar Items from Core Recommender Database
Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.