Prediction of critical total drawdown in sand production from gas wells: Machine learning approach

• Main Authors: Alakbari, F.S., Mohyaldinn, M.E., Ayoub, M.A., Muhsan, A.S., Abdulkadir, S.J., Hussein, I.A., Salih, A.A.
• Format: Article
• Published: 2022
• Online Access: http://scholars.utp.edu.my/id/eprint/33890/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141405710&doi=10.1002%2fcjce.24640&partnerID=40&md5=70d4642c31b89d3bf759f3012c03e5aa

Sand production is a critical issue in petroleum wells. The critical total drawdown (CTD) is an essential indicator of the onset of sand production. Although some models are available for CTD prediction, most of them are proven to lack accuracy or use commercial software. Furthermore, the previous c...