Univeristi Teknologi Petronas, (UTP), Malaysia
Short Communication
Development the models of oil Formation volume factor using artificial neural networks and fuzzy logic models
Author(s): Fahd Saeed Alakbari
The oil formation volume factor with high accuracy method is a key role in the petroleum industry due to the wide use of it in the petroleum industry. It is readily obtained from laboratory PVT measurements or may be calculated from correlations such as Vasquez. Nevertheless, these measurements are either not available, or very costly to require. Thus, there is an essential need for a reliable method for obtaining the oil formation volume factor.
The aim of this paper is predicting the oil formation volume factor using Artificial Neural Networks (ANN) and Fuzzy Logic (FL) tools. It is worth noticing that a data set consisting 800 of laboratory measurements on oil formation volume factor was gathered from different published resources. The paper also will use the current available models presented in the literature for predicting the oil formation volume factor and compare th.. View More»
DOI:
10.35248/2329-6836.20.8.04
