Predicting permeability based on core analysis.
KONTOPOULOS, H., AHRIZ, H., ELYAN, E. and ARNOLD, R. 2020. Predicting permeability based on core analysis. to be presented at the 21st Engineering applications of neural networks (EANN) conference 2020 (EANN 2020), 5-7 June 2020, Halkidiki, Greece. Proceedings of the International Neural Networks Society. Cham: Springer [online], (accepted).
Knowledge of permeability, a measure of the ability of rocks to allow fluids to flow through them, is essential for building accurate models of oil and gas reservoirs. Permeability is best measured in the laboratory using special core analysis (SCAL)... Read More about Predicting permeability based on core analysis..