Measuring the density and velocity of fluids is one of the important tasks in oil and petroleum
industries. The article demonstrates the measurements of these parameters precisely for different
fluids and various diameters of pipes by using radiotracer injection and Artificial Neural
Network (ANN). The required data for training and testing the ANN model were obtained by the
MCNPX code simulations. Before using the simulation results for training the ANN, simulation
geometry was validated with an experimental setup. The experimental setup consists of two 2-
inch NaI(Tl) detectors that are positioned in distance of 120 mm from each other and one 133Ba
radioactive source as a tracer. It is shown that the estimated Mean Relative Error (MRE) of the
density determination in presented system was less than 0.9%. The relative combined standard
uncertainty of the fluid velocity measurement did not exceed 0.5 %.