Prediction of Rheological and Filtration Loss Properties of Nano-Zirconium-Dioxide Drilling Fluids via Machine Learning Techniques for Energy Exploration

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Authors

  • Cheah Jason
  • Suhaib Umer Ilyas
  • Syahrir Ridha
  • Umara Sehar
  • Mustafa Alsaady

External Organisational units

  • Universiti Teknologi PETRONAS
  • University of Jeddah

Details

Original languageEnglish
Title of host publicationPrediction of Rheological and Filtration Loss Properties of Nano-Zirconium-Dioxide Drilling Fluids via Machine Learning Techniques for Energy Exploration
Pages469-477
Number of pages8
DOIs
Publication statusPublished - 2024