Experimental measurement of the induction time of natural gas Hydrate and its prediction with polymeric kinetic inhibitor

2014 ◽  
Vol 116 ◽  
pp. 817-823 ◽  
Author(s):  
Seong-Pil Kang ◽  
Ju-Young Shin ◽  
Jong-Se Lim ◽  
Sangyong Lee
2020 ◽  
Author(s):  
Amir Saberi ◽  
Abdolmohammad Alamdari ◽  
Ali Rasoolzadeh ◽  
Amir H. Mohammadi

Abstract It is necessary to understand all the prerequisites, which result in gas hydrate formation for safe design and control of a variety of processes in petroleum industry. Thermodynamic hydrate inhibitors (THIs) are normally used to preclude gas hydrate formation by shifting hydrate stability region to lower temperatures and higher pressures. Sometimes, it is difficult to avoid hydrate formation and hydrates will form anyway. In this situation, kinetic hydrate inhibitors (KHIs) can be used to postpone formation of gas hydrates by retarding hydrate nucleation and growth rate. In this study, two kinetic parameters including natural gas hydrate formation induction time and the rate of gas consumption were experimentally investigated in the presence of monoethylene glycol (MEG), L-tyrosine, and polyvinylpyrrolidone (PVP) at various concentrations in aqueous solutions. Since hydrate formation is a stochastic phenomenon, the repeatability of each kinetic parameter was evaluated several times and the average values for the hydrate formation induction times and the rates of gas consumption are reported. The results indicate that from the view point of hydrate formation induction time, 2 wt% PVP and 20 wt% MEG aqueous solutions have the highest values and are the best choices. It is also interpreted from the results that from the view point of the rate of gas consumption, 20 wt% MEG aqueous solution yields the lowest value and is the best choice. Finally, it is concluded that the combination of PVP and MEG in an aqueous solution has a simultaneous synergistic impact on natural gas hydrate formation induction time and the rate of gas consumption. Furthermore, a semi-empirical model based on chemical kinetic theory is applied to evaluate the hydrate formation induction time data. A good agreement between the experimental and calculated hydrate formation induction time data is observed.


2021 ◽  
Vol 18 (2) ◽  
pp. 323-338
Author(s):  
Xiong-Qi Pang ◽  
Zhuo-Heng Chen ◽  
Cheng-Zao Jia ◽  
En-Ze Wang ◽  
He-Sheng Shi ◽  
...  

AbstractNatural gas hydrate (NGH) has been widely considered as an alternative to conventional oil and gas resources in the future energy resource supply since Trofimuk’s first resource assessment in 1973. At least 29 global estimates have been published from various studies so far, among which 24 estimates are greater than the total conventional gas resources. If drawn in chronological order, the 29 historical resource estimates show a clear downward trend, reflecting the changes in our perception with respect to its resource potential with increasing our knowledge on the NGH with time. A time series of the 29 estimates was used to establish a statistical model for predict the future trend. The model produces an expected resource value of 41.46 × 1012 m3 at the year of 2050. The statistical trend projected future gas hydrate resource is only about 10% of total natural gas resource in conventional reservoir, consistent with estimates of global technically recoverable resources (TRR) in gas hydrate from Monte Carlo technique based on volumetric and material balance approaches. Considering the technical challenges and high cost in commercial production and the lack of competitive advantages compared with rapid growing unconventional and renewable resources, only those on the very top of the gas hydrate resource pyramid will be added to future energy supply. It is unlikely that the NGH will be the major energy source in the future.


ACS Omega ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 3017-3023
Author(s):  
Song Deng ◽  
Dingkun Ling ◽  
Binbin Zhou ◽  
Yu Gong ◽  
Xin Shen ◽  
...  

2021 ◽  
Author(s):  
Min Zhang ◽  
Ming Niu ◽  
Shiwei Shen ◽  
Shulin Dai ◽  
Yan Xu

Author(s):  
Bohui Shi ◽  
Shangfei Song ◽  
Yuchuan Chen ◽  
Xu Duan ◽  
Qingyun Liao ◽  
...  

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