Smart learning strategy for predicting viscoelastic surfactant (VES) viscosity in oil well matrix acidizing process using a rigorous mathematical approach

Smart learning strategy for predicting viscoelastic surfactant (VES) viscosity in oil well matrix acidizing process using a rigorous mathematical approach

Abstract This piece of study attempts to accurately anticipate the apparent viscosity of the viscoelastic surfactant (VES) based self-diverting acids as a function of VES concentration, temperature, shear rate, and pH value. The focus not only is on generating computer-aided models but also on devel...

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Bibliographic Details
Main Authors: Mehdi Mahdaviara, Alireza Rostami, Khalil Shahbazi
Format: Article
Language:English
Published: Springer 2021-09-01
Series:SN Applied Sciences
Subjects:
Viscoelastic surfactant
Artificial intelligence
Gene expression programming
Matrix acidizing
Carbonate rock
Online Access:https://doi.org/10.1007/s42452-021-04799-8

Internet

https://doi.org/10.1007/s42452-021-04799-8

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