TY  - JOUR
AV  - none
N1  - cited By 7
TI  - Hydrate formation prediction model for binary gases of methane + ethane and methane + propane by using optimization algorithm
SP  - 36
PB  - Taylor and Francis Inc.
SN  - 10916466
EP  - 42
N2  - This research model equation is based on constant coefficients which were used for multiple sets of experimental data. The developed optimized based prediction model is examined by the experimental data of binary gases methane + ethane and methane + propane hydrates, respectively. This research model holds a wide range of datasets from 190.2 to 326.8 K and 0.08251 to 590 MPa for binary gases of methane + ethane and methane + propane, respectively. The developed algorithm validated by experimental data of binary gases of hydrate formation, statistical analysis, thermodynamic equations and fundamental empirical models for hydrate formation, respectively. This research enhances the existing study by presenting a systematic model which predicts and provides a guideline for users to forecast gas-hydrate-forming conditions. © 2019, © 2019 Taylor & Francis Group, LLC.
IS  - 1
ID  - scholars13556
KW  - Ethane; Forecasting; Gases; Hydration; Methane; Optimization; Pressure; Propane; Statistical methods; Temperature; Thermodynamics
KW  -  Constant coefficients; Hydrate formation; Hydrate forming conditions; Optimization algorithms; Prediction model; Research models; Systematic modeling; Thermodynamic equations
KW  -  Gas hydrates
Y1  - 2020///
JF  - Petroleum Science and Technology
A1  - Abbasi, A.
A1  - Hashim, F.M.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070979993&doi=10.1080%2f10916466.2019.1655447&partnerID=40&md5=c5d51de4376735dc913b8d150271638f
VL  - 38
ER  -