A Predictive Model for Hydrate Formation Conditions in Alcohol-Containing Systems Based on the Cubic-Plus-Association State Equation

Yubin Wang, Ziyuan Li, Shujie Zhi, Qi Yang, Changjun Li and Wenlong Jia ()
Additional contact information
Yubin Wang: PipeChina Institute of Science and Technology, Langfang 065000, China
Ziyuan Li: School of Petroleum Engineering, Southwest Petroleum University, Chengdu 610500, China
Shujie Zhi: PipeChina Institute of Science and Technology, Langfang 065000, China
Qi Yang: PipeChina Institute of Science and Technology, Langfang 065000, China
Changjun Li: School of Petroleum Engineering, Southwest Petroleum University, Chengdu 610500, China
Wenlong Jia: School of Petroleum Engineering, Southwest Petroleum University, Chengdu 610500, China

Energies, 2023, vol. 16, issue 23, 1-14

Abstract: In alcohol-containing systems, the association of polar molecules significantly influences the calculation of water activity, leading to substantial deviations from ideal solution behavior. This makes it challenging for traditional hydrate formation condition models to accurately predict hydrate formation temperatures and pressures. To address this issue, we propose a novel unified thermodynamic framework based on the Parrish-Prausnitz (P-P) model and the Cubic-Plus-Association (CPA) equation of state (EoS) for calculating the hydrate formation condition in systems containing gas/water/alcohol, by using the advantages of the CPA EoS to characterize the association interaction of polar molecules. In addition, we utilize experimental data to model the molecular association in alcohol-containing systems and conduct regression analysis for binary interaction coefficients among alcohol, water, and gas. Multiple sets of experimental data on component fractions and hydrate formation conditions for methane-alcohol-water systems are used for validation. The proposed model shows an average relative error of 1.17–6.42% for predicting alcohol/methane component fractions in the liquid phase and 1.93–4.78% for predicting hydrate formation conditions in alcohol-containing systems. Compared to traditional models, this model demonstrates a significant improvement in accuracy and performs well in predicting hydrate formation conditions in alcohol-containing systems.

Keywords: natural gas hydrate; alcohol-containing system; formation condition; thermodynamic model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/23/7728/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/23/7728/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:23:p:7728-:d:1285988

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().