Hydrate formation prediction model for binary gases of methane + ethane and methane + propane by using optimization algorithm. (2nd January 2020)
- Record Type:
- Journal Article
- Title:
- Hydrate formation prediction model for binary gases of methane + ethane and methane + propane by using optimization algorithm. (2nd January 2020)
- Main Title:
- Hydrate formation prediction model for binary gases of methane + ethane and methane + propane by using optimization algorithm
- Authors:
- Abbasi, Aijaz
Hashim, Fakhruldin Mohd - Abstract:
- Abstract: 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.
- Is Part Of:
- Petroleum science and technology. Volume 38:Number 1(2020)
- Journal:
- Petroleum science and technology
- Issue:
- Volume 38:Number 1(2020)
- Issue Display:
- Volume 38, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 38
- Issue:
- 1
- Issue Sort Value:
- 2020-0038-0001-0000
- Page Start:
- 36
- Page End:
- 42
- Publication Date:
- 2020-01-02
- Subjects:
- pressure -- temperature -- statistical analyses -- thermodynamics -- hydrate formation model -- optimization algorithms
Liquid fuels -- Periodicals
Petroleum -- Periodicals
665.505 - Journal URLs:
- http://www.tandfonline.com/toc/lpet20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/10916466.2019.1655447 ↗
- Languages:
- English
- ISSNs:
- 1091-6466
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6435.350000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 18564.xml