About this document
Machine Learning in Nano Drilling Fluids by muhamad.iqbal is a document available to read on EtoBox.
This study explores the application of machine learning techniques, specifically artificial neural networks (ANN) and least-square support vector machines (LSSVM), to predict the shear stress and filtration loss properties of nano-based drilling fluids enhanced with silica nanoparticles. The models demonstrated high accuracy with R2 values exceeding 0.99 and low mean absolute errors, validated against experimental data. The findings indicate that incorporating nanoparticles significantly improves the rheolo
- Author
- muhamad.iqbal
- Language
- EN