Okorie Ekwe Agwu

6 ta ish

Universiti Teknologi Petronas

1. Modelling the flowing bottom hole pressure of oil and gas wells using multivariate adaptive regression splines

   Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh +1

   Maqola20253 iqtibos

   ABIABI:AkademIndex/2026.other.294534

2. A critical review of drilling mud rheological models

   Okorie Ekwe Agwu, Julius U. Akpabio, Moses E. Ekpenyong +4

   Sharh maqola20213 iqtibos

   ABIABI:AkademIndex/2026.other.424196

3. Explainable artificial intelligence models for estimating the heat capacity of deep eutectic solvents

   Saad Alatefi, Okorie Ekwe Agwu, Menad Nait Amar +1

   Maqola20252 iqtibos

   ABIABI:AkademIndex/2026.other.294536

4. Explicit Data-Based Model for Predicting Oil-Based Mud Viscosity at Downhole Conditions

   Ahmad Alkouh, Khaled A. Elraies, Okorie Ekwe Agwu +2

   Maqola20242 iqtibos

   ABIABI:AkademIndex/2026.other.311071

5. Carbon capture using ionic liquids: An explicit data driven model for carbon (IV) Oxide solubility estimation

   Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh +2

   Maqola20242 iqtibos

   ABIABI:AkademIndex/2026.other.311076

6. Explicit and explainable artificial intelligent model for prediction of CO2 molecular diffusion coefficient in heavy crude oils and bitumen

   Saad Alatefi, Okorie Ekwe Agwu, Ahmad Alkouh

   Maqola20242 iqtibos

   ABIABI:AkademIndex/2026.other.311080