[HTML][HTML] Artificial neural networks modeling for hydrocarbon gas viscosity and density estimation

AA AlQuraishi, EM Shokir - Journal of King Saud University-Engineering …, 2011 - Elsevier
Natural gas is a naturally occurring petroleum product and one of the major fossil energy
sources. It is composed of a complex mixture of hydrocarbon compounds and a minor …

Estimation of density and compressibility factor of natural gas using artificial intelligence approach

A Khosravi, L Machado, RO Nunes - Journal of Petroleum Science and …, 2018 - Elsevier
Natural gas density is commonly measured by Coriolis density meters and gas
chromatographs, both of which are used to calculate the natural gas mass flow rate. In this …

Precise calculation of natural gas sound speed using neural networks: An application in flow meter calibration

M Farzaneh-Gord, B Mohseni-Gharyehsafa… - Flow Measurement and …, 2018 - Elsevier
The natural gas speed of sound (SoS) is needed for flowmeters calibration using sonic
nozzles. To determine SoS of real gases, the compressibility factor (sometimes called Z …

An intelligent approach for calculating natural gas compressibility factor and its application in ultrasonic flow meters

M Farzaneh-Gord, HR Rahbari - Flow Measurement and Instrumentation, 2020 - Elsevier
The current study presents an intelligent method for calculating natural gas compressibility
factor. The method requires three easily measurable properties including pressure …

Novel natural gas molecular weight calculator equation as a functional of only temperature, pressure and sound speed

M Farzaneh-Gord, A Arabkoohsar… - Journal of Natural Gas …, 2016 - Elsevier
In city gate stations (CGS) experimental facilities are currently employed to specify natural
gas compositions and subsequently calculate its density. Then, natural gas mass flow rate is …

A novel method for calculating natural gas density based on Joule Thomson coefficient

M Farzaneh-Gord, M Farsiani, A Khosravi… - Journal of Natural Gas …, 2015 - Elsevier
In natural gas measuring techniques, the natural gas mass flow rate is usually measured
employing experimental facilities for density calculation, volume flow meters and other …

Machine learning methods for precise calculation of temperature drop during a throttling process

M Farzaneh-Gord, HR Rahbari… - Journal of Thermal …, 2020 - Springer
It is vital for the designers of the throttling facilities to predict natural gas temperature drop
along a throttling valve exactly. Generally, direct prediction of the temperature drop is not …

Developing novel correlations for calculating natural gas thermodynamic properties

M Farzaneh-Gord, HR Rahbari - Chemical and Process …, 2011 - yadda.icm.edu.pl
Natural gas is a mixture of 21 components and it is widely used in industries and homes.
Knowledge of its thermodynamic properties is essential for designing appropriate processes …

On the viscosity of natural gases from Qatari North Field Reservoir

M Atilhan, S Aparicio, GA Iglesias-Silva… - Journal of Chemical & …, 2010 - ACS Publications
New viscosity measurements of three natural gas-like mixtures with compositions
resembling those of the Qatari North Field reservoir are reported in this work. The viscosity …

[HTML][HTML] A soft computing approach for prediction of P-ρ-T behavior of natural gas using adaptive neuro-fuzzy inference system

AHS Dehaghani, MH Badizad - Petroleum, 2017 - Elsevier
Density is an important property of natural gas required for the design of gas processing and
reservoir simulation. Due to expensive measurement of density, industry tends to predict gas …