New Correlation Predicting Molecular Weight of Petroleum Fractions
Journal Title: Petroleum & Petrochemical Engineering Journal - Year 2018, Vol 2, Issue 1
Abstract
A proper description of the physical properties of the petroleum fractions in hydrocarbon mixtures is essential in performing reliable phase behavior calculations and compositional modeling studies. This paper presents a comparison study among nine different correlations used to calculate the molecular weight of undefined petroleum fractions. A new correlation was developed for calculating the molecular weight of undefined petroleum fractions as a function of boiling point with an average error of 0.4 %, standard deviation of 0.6 % and correlation coefficient of 0.99991.
Authors and Affiliations
Abdelaziz El-hoshoudy
Challenges in Teaching and Research in the Energy Sector
There is a set a multifaceted challenges facing the global energy scenario in both developed and the developing world. While the developed countries are trying to transition away from the conventional energy resources, t...
Analyzing of Formation Evaluation of the Unconventional Upper-Safa Formation, Western Desert, Egypt
Unconventional reservoirs can add huge amounts of additional energy to our world resources bases like organic shale in terms of Shale gas, shale oil, tight gas and coal-bed methane. These reservoirs can transform the wor...
Experimental Measurement and Investigation on the Feasibility of Improvement of Physical and Dielectric Properties of Barium Titanate
Recent research has examined the improvement of physical and dielectric properties of BaTiO3 ceramic material by the small addition of excess TiO2 or BaCO3. The prepared samples sintered at different temperatures and var...
About the Molecular and Photon Theory of Gases
Imperfection of the modern molecular and kinetic theory of heat is shown. More complete theory of warmth has to include, except kinetic energy of molecules, also potential energy of interaction of molecules. Besides, it...
Prediction of Dew Point Pressure in Gas Condensate Reservoirs Based On a Combination of Gene Expression Programming (GEP) and Multiple Regression Analysis
Gas condensate reservoirs represent unique and clean hydrocarbon source of energy, so prediction of their thermodynamic criteria especially dewpoint pressure (Pd) is crucial for reservoir characterization and management,...