Universal Neural-network-Based Model for Estimating the PVT Properties of Crude Oil Systems

摘要

This study presents a universal neural-network-based model for the prediction of PVT properties of crude oil samples obtained form all over the world. The data, on which the network was trained, contains 5200 experimentally obtained PVT data sets of different crude oil and gas mixtures from all over the world. They were collected form major-producing oil fields in North and South America, the North Sea, Southeast Asia, the Middle East, and Africa.