Prediction of Hydrate Formation Temperatures in Salt–Alcohol Inhibitor Systems Using an Improved Activity Model

Hydrate formation severely affects offshore petroleum operations. Accurate prediction of hydrate formation temperature is crucial for developing prevention and control strategies. This work proposes an improved activity coefficient model for salt–alcohol inhibitor systems. Alcohol–water interactions are described using the UNIFAC-Dortmund model, while salt effects are represented by the Bromley model. The combined activity coefficient is coupled with a multiphase flash calculation and the van der Waals–Platteeuw (vdW–P) framework to predict hydrate equilibria. The model is validated for pure CH4, CH4–CO2 mixtures, and CH4–C2H6–C3H8 blends under various inhibitor conditions. Prediction accuracy was evaluated using the average absolute deviation (AAD) and average absolute relative deviation (AARD). The results show good agreement with experimental data and demonstrate higher accuracy compared with previous models.

Authors

Institutions

Publication Details

Journal
Energy & Fuels
Published
2025-12-04
DOI
https://doi.org/10.1021/acs.energyfuels.5c04711
Citations
1
Primary Topic
Methane Hydrates and Related Phenomena
Type
article
Field-Weighted Citation Impact
0.86
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction of Hydrate Formation Temperatures in Salt–Alcohol Inhibitor Systems Using an Improved Activity Model

Jun Wu, Bohui Shi, H. T. Chen, Yong Hao et al.
1 citations
Energy & Fuels
Methane Hydrates and Related Phenomena
0.86
article

Prediction of Hydrate Formation Temperatures in Salt–Alcohol Inhibitor Systems Using an Improved Activity Model

Jun Wu, Bohui Shi, H. T. Chen, Yong Hao, Shangfei Song, Jiahao Yu, Qi Kang, Jing Gong, Guodong Zhang
article en
1 citations

Abstract

Hydrate formation severely affects offshore petroleum operations. Accurate prediction of hydrate formation temperature is crucial for developing prevention and control strategies. This work proposes an improved activity coefficient model for salt–alcohol inhibitor systems. Alcohol–water interactions are described using the UNIFAC-Dortmund model, while salt effects are represented by the Bromley model. The combined activity coefficient is coupled with a multiphase flash calculation and the van der Waals–Platteeuw (vdW–P) framework to predict hydrate equilibria. The model is validated for pure CH4, CH4–CO2 mixtures, and CH4–C2H6–C3H8 blends under various inhibitor conditions. Prediction accuracy was evaluated using the average absolute deviation (AAD) and average absolute relative deviation (AARD). The results show good agreement with experimental data and demonstrate higher accuracy compared with previous models.

Energy & FuelsVol. 39(50)
China University of Petroleum, Beijing (CN), China Railway Construction Corporation (China) (CN), Petroleum Technology Company (Norway) (NO), Tsinghua University (CN)
Openalex Percentile: Top 21%
Methane Hydrates and Related Phenomena
0.86
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Prediction of Hydrate Formation Temperatures in Salt–Alcohol Inhibitor Systems Using an Improved Activity Model — Jun Wu, Bohui Shi, et al. · Energy & Fuels (2025) | TGRS Research Map | TGRS