Master's Thesis at the University of Basrah Explores Artificial Intelligence Techniques for Permeability Prediction
A master's thesis at the College of Engineering, University of Basrah, explored artificial intelligence techniques for predicting permeability using core data and wellbore measurements.
The thesis, submitted by student Bassam Abdul-Hamid Mohammed, aims to estimate permeability in carbonate reservoirs, which are characterized by high structural complexity due to extreme rock heterogeneity.
The thesis comprises four chapters in which the student discusses an integrated model for combining artificial intelligence with geophysics to transform complex data into interpretable knowledge that supports decision-making in the oil and gas industry.
Department of Media and Government Communication
