Development of a deep rectifier neural network for fluid volume fraction prediction in multiphase flows by gamma-ray densitometry

This paper presents a novel methodology for volume fraction predictions in multiphase flow meters in offshore petroleum industries using gamma-ray densitometry. The algorithm that interprets spectra recorded at detectors is based on the new architectures of deep neural networks (deep learning). In this study, an 8-layer deep rectifier neural network (DRNN) has been used, running on a GPU-based parallel framework in order to increase the...