Abstract Machine learning's prowess in extracting insights from data has significantly
advanced fluid rheological behavior prediction. This machine-learning-based approach …

Accurate modeling of thermophysical properties of solvent/bitumen mixtures is critical for
proper design and implementation of thermal-and solvent-based bitumen recovery …

Fluid viscosity plays a major role in the petroleum industry. It's required for fluid flow
calculations through the reservoir and production systems. In this study, heavy oil viscosity …

In this study, the methods of group method of data handling (GMDH) and gene expression
programming (GEP) were used to develop symbolic correlations for truthful viscosity …

ABSTRACT A large portion of the total oil-in-place around the globe is composed of
heavy/ultra-heavy oils and bitumen. The main challenge for producing bitumen is its large …

The increase globally fossil fuel consumption as it represents the main source of energy
around the world, and the sources of heavy oil more than light, different techniques were …

In this study, radial basis function (RBF) and multilayer perceptron (MLP) neural networks
were proposed for accurate prediction of under-saturated oil viscosity. To this end, more …

基于HABC鄄RBF 神经网络的蒸汽驱预测方法 Page 1 2018 年1 月 Journal of Jilin University (Information
Science Edition) Jan. 2018 文章编号:1671鄄5896(2018)01鄄0078鄄07 基于HABC鄄RBF …

This chapter focuses on application of data mining in predicting performance of thermal-
enhanced oil recovery (thermal EOR) processes, and optimizing high-effective parameters …

The weight of expanded cut tobacco before resurgence is one of the important factors
affecting the moisture content of expanded cut tobacco, and the moisture content control of …