Natural gas processing
Download February 09, 2015

Natural Gas Hydrate Formation Temperature in the presence of Ethylene Glycol

Risk of Hydrate Formation in Natural Gas

The formation of hydrates in natural gas processing facilities and pipelines is a critical problem since it could eventually lead to blocked pipelines and shutdowns and even to the destruction of valuable equipment. Because of these potentially devastating and costly consequences, the investigation of an effective method for preventing the formation of gas hydrates has aroused significant interest. 

Methods to Suppress Hydrate Formation

One of the methods to suppress hydrate formation in the free water phase is to inject hydrate inhibitors.  The most common inhibitors are methanol and ethylene glycol. These chemical additives thermodynamically destabilize hydrates and effectively lower the temperature of hydrate formation. Ethylene glycol is generally the preferred choice as a hydrate inhibitor for continuous injection as it can be effectively regenerated and recycled. The amount of ethylene glycol required as an inhibitor and hence the regenerator reboiler duty (if regenerated in a gas processing facility) depend on the depression of hydrate formation temperature caused by adding ethylene glycol to the gas. The accurate calculation of gas hydrate formation temperature in the presence of ethylene glycol is essential to avoid operating problems and to optimize energy use in gas processing facilities.


Predictions of Gas Hydrate Formation Temperature 

The objective of this article is to compare the accuracy of several correlations for the prediction of gas hydrate formation temperature in the presence of ethylene glycol as an inhibitor (Thg,I ). The gas hydrate temperature with inhibitors can be directly calculated using a correlation or can be estimated using Equation 1:

Thg,I= Th- DT

Where Thg  is the hydrate formation of gas without inhibitor and DT is the hydrate temperature depression. The following correlations have been reviewed in this study:

  • A correlation proposed by Ameripour and Barrufet [1] to predict hydrate temperature for systems including inhibitors (Thg,I ).
  • Process Ecology Hydrate (HYSYS Extension) methods (van der Waals-Platteeuw (vdW) [2], Fugacity [3], and GPSA [4]) to calculate hydrate temperature of gas without inhibitor (Thg ).
  • Hammerschmidt correlation (HS34) [2] to predict the formation of gas hydrates in natural gas without inhibitor ( Thg ). 
  • Bahadori and Vuthaluru correlation [3] (Bahadori) to estimate the hydrate formation temperature of natural gas without inhibitor ( Thg ). 

The correlation of Ameripour and Barrufet (Ameripour) directly predicts the hydrate temperature for systems with inhibitors (Thg,I). The other listed methods calculate the hydrate temperature without inhibitor (Thg), and therefore require a further calculation to estimate the hydrate temperature depression.

  • Hammerschmidt (HS39) [4] is used to estimate the hydrate temperature depression due to the presence of inhibitor (DT).
  • Mazlum et al. activity correlation [5] (Activity) is used to calculate the hydrate suppression temperature due to the presence of inhibitor (DT). 

The hydrate formation temperatures with inhibitor for nine natural gas samples with specific gravities in the range of 0.55 to 0.67 were calculated using the above-mentioned correlations and the results were compared with experimental data. The experimental data specifications including ethylene glycol concentration, gas specific gravity, number of data points, and pressure range are listed in Table 1. 

Experimental Data Specifications

Table 1: Experimental Data Specifications

Deviations of the calculated hydrate temperature formation in the systems including ethylene glycol as an inhibitor from the experimental data are shown in Figure 1. As shown in this figure, deviations of the Ameripour correlation increase with increasing ethylene glycol concentration. This correlation predicts the hydrate temperature in the presence of up to 50 wt% ethylene glycol with less than 3% error. Although this correlation is a simple method to evaluate the hydrate formation temperature, at 65 wt% ethylene glycol it provides results with 7.3% error which is the largest deviation from experimental data among the correlations studied in this work. In refrigeration plants the rich glycol concentration is usually in the range of 65-70 wt%; correlations with lower deviations from experimental data in this range are preferable.


Deviations of the Calculated Hydrate Formation Temperatures from the Corresponding Experimental Data

Figure 1: Deviations of the Calculated Hydrate Formation Temperatures from the Corresponding Experimental Data (see a larger version)

Figure 2 shows the results of those correlations predicting the hydrate formation temperature for systems including ethylene glycol with less than 3% error. Among these correlations, the Bahadori-Activity and the Bahadori-Hammerschmidt (1939) correlations are the simplest models for the hydrate temperature evaluation and they don’t need complex computer codes for the calculations. The average error for the Bahadori-Activity and Bahadori-Hammerschmidt correlations (1939) are 0.86% and 1.1%, respectively, showing the performance of these correlations for predicting the gas hydrate formation temperature with ethylene glycol is acceptable. It should be noted that these correlations are not appropriate for acid gases with molecular weights greater than 29.

Correlations with less than 3% Deviation from Experimental Data

Figure 2: Correlations with less than 3% Deviation from Experimental Data (see a larger version)


The objective of this article is to provide the reader with a quantitative understanding of the accuracy of hydrate formation temperature estimation in the presence of inhibitors for methods ranging from simple correlations to computer codes used in simulators. An accurate hydrate formation temperature calculation helps to evaluate the amount of ethylene glycol required in pipelines or refrigeration plants and hence to the optimization of reboiler duty. Typically ethylene glycol refrigeration plants are over-circulating causing unnecessary emissions (e.g. BTEX) and increasing fuel gas consumption. Reducing the ethylene glycol circulation rate is one of the methods used for optimizing these plants. The results obtained from this article show that an accurate estimation of hydrate formation temperature in the presence of inhibitors for sweet natural gas can be obtained from simple models such as Bahadori-Activity and Bahadori-Hammerschmidt which can be easily solved and used for optimization purposes.


[1] S. Ameripour, M. Barrufet, Journal of Canadian Petroleum Technology, 2009, 48, 45

[2] J.H. van der Waals, J.C. Platteeuw, Advances in Chemical Physics, 1959, 2, 1.

[3] G-J. Chen, T-M. Guo, Chemical Engineering Journal, 1998, 71, 145.

[4] Gas Processors Suppliers Association (GPSA), Engineering Data Book.[5]E.G. Hammerschmidt, Industrial and Engineering Chemistry, 1934, 26, 851.

[6] A. Bahadori, H.B. Vuthaluru, Journal of Natural Gas Chemistry, 2009, 18, 1.

[7] E.G. HammerSchmidt, Gas, 1939, 15, 30.

[8] S. Mazlum, A. Chapoy, J. Yang, and B. Tohidi, Proceedings of the 7th International Conference on Gas Hydrates (ICGH), 2011, July 17-21.  

Additional Resources

Renyard, A. Offshore Oil and Gas on the Gulf Coast: Mitigating Risks with Data.

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By Samaneh Hajipour, Ph.D.

Samaneh  joined Process Ecology in 2014 after she obtained her Ph.D. in Chemical Engineering from the University of Calgary. She currently provides process engineering services and software development support. Samaneh is an Alberta Innovates Industry Associate since July 2015 doing research in the area of sensitivity and uncertainty analysis in SAGD simulations. She received her BSc and MSc degrees with distinction from the University of Tehran, Iran, and gained valuable process engineering experience during 3 years of working with Gastech International. Samaneh brings significant knowledge in engineering, thermodynamics, and uncertainty analysis that complements Process Ecology's strengths.In her spare time, she enjoys cooking new recipes and watching nature documentaries.



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