An Accurate Critical Total Drawdown Prediction Model for Sand Production: Adaptive Neuro-fuzzy Inference System (ANFIS) Technique

An Accurate Critical Total Drawdown Prediction Model for Sand Production: Adaptive Neuro-fuzzy Inference System (ANFIS) Technique

<p dir="ltr">Sand production causes many problems in the petroleum industry. The sand production is predicted to control it in the early stages. Therefore, accurate prediction of sand production has been considered substantial in achieving successful sand control. Critical total draw...

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Bibliographic Details
Main Author: Fahd Saeed Alakbari (10701871) (author)
Other Authors: Syed Mohammad Mahmood (9329464) (author), Mysara Eissa Mohyaldinn (10701874) (author), Mohammed Abdalla Ayoub (10701877) (author), Ibnelwaleed A. Hussein (5535953) (author), Ali Samer Muhsan (10701880) (author), Abdullah Abduljabbar Salih (14778136) (author), Azza Hashim Abbas (19176655) (author)
Published: 2024
Subjects:
Engineering
Resources engineering and extractive metallurgy
Information and computing sciences
Artificial intelligence
Machine learning
Sand control
Adaptive neuro-fuzzy inference system technique
ANFIS
Critical total drawdown
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