Meysam Dabiri-Atashbeyk

M.S., National Iranian South Oil Field Company, Ahwaz, Iran

[ 1 ] - Comparing Two Methods of Neural Networks to Evaluate Dead Oil Viscosity

Reservoir characterization and asset management require comprehensive information about formation fluids. In fact, it is not possible to find accurate solutions to many petroleum engineering problems without having accurate pressure-volume-temperature (PVT) data. Traditionally, fluid information has been obtained by capturing samples and then by measuring the PVT properties in a laboratory. In ...

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