Modification of Adsorbents for High CO2 Content Capture from Stranded Natural Gas Reserve: A Critical Review

2014 ◽  
Vol 917 ◽  
pp. 342-349
Author(s):  
Nadia Isabella Mohd Noor ◽  
Usama Eldemerdash ◽  
Mohd Shariff Azmi

.Carbon dioxide (CO2) commonly exists as undesirable component in natural gas streams. The continuous growing of the global demand makes it necessary to overcome the high CO2content obstacle of stranded reserves. A wide variety of acid gas removal technologies have been developed, including chemical and physical absorption processes but none of them can combine the high efficiency and economic energy consumption. Each process has its own advantages and disadvantages. Using of adsorbents increasingly being selected for newer projects, especially for applications that have large flow, high CO2content and located in remote locations such as offshore where compact and highly effective technology is required. This review highlights the importance of adsorbent modification on CO2removal from natural gas reserve at high pressure and temperature using physical adsorbents such as zeolite and molecular sieve. Then, the focus is turned on the adsorbents chemical modification using organic amines to improve the adsorption efficiency towards CO2.

2015 ◽  
Vol 4 (4) ◽  
pp. 1-7
Author(s):  
Yansen Hartanto ◽  
Tri Partono Adhi ◽  
Antonius Indarto

Acid gas removal to remove carbon dioxide (CO2) in natural gas is one of the most important processes. The common removal process of CO2 from natural gas by using alkanolamine solution This process was adopted as basic module in commercial process simulation tools with various equilibrium models. Thus, this study was focused to evaluate the validity in certain operating condition and equilibrium model that produced by commercial simulation tools. The model in this study included coefficient activity model based on Kent-Eisenberg, Li-Mather, and Electrolyte Non Random Two Liquid (NRTL). The evaluation was conducted by doing analysis from simulation result and experiment data that have been used as reference. Furthermore, validation test in absorption process simulation was done to compare column temperature profile. The overall conclusions show that electrolyte NRTL gives the most accurate result.


2016 ◽  
Vol 158 ◽  
pp. 333-356 ◽  
Author(s):  
Gigi George ◽  
Nidhika Bhoria ◽  
Sama AlHallaq ◽  
Ahmed Abdala ◽  
Vikas Mittal

2017 ◽  
Vol 2 (2) ◽  
pp. 111-133
Author(s):  
Qinghan Bian ◽  
Dennis Paradine ◽  
Katherine Wreford ◽  
Jennifer Eby ◽  
Yori Jamin ◽  
...  

2015 ◽  
Vol 83 ◽  
pp. 97-109 ◽  
Author(s):  
Habin Cho ◽  
Michael Binns ◽  
Kwang-Joon Min ◽  
Jin-Kuk Kim

Membranes ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 413
Author(s):  
Ahmed W. Ameen ◽  
Peter M. Budd ◽  
Patricia Gorgojo

Superglassy polymers have emerged as potential membrane materials for several gas separation applications, including acid gas removal from natural gas. Despite the superior performance shown at laboratory scale, their use at industrial scale is hampered by their large drop in gas permeability over time due to physical aging. Several strategies are proposed in the literature to prevent loss of performance, the incorporation of fillers being a successful approach. In this work, we provide a comprehensive economic study on the application of superglassy membranes in a hybrid membrane/amine process for natural gas sweetening. The hybrid process is compared with the more traditional stand-alone amine-absorption technique for a range of membrane gas separation properties (CO2 permeance and CO2/CH4 selectivity), and recommendations for long-term membrane performance are made. These recommendations can drive future research on producing mixed matrix membranes (MMMs) of superglassy polymers with anti-aging properties (i.e., target permeance and selectivity is maintained over time), as thin film nanocomposite membranes (TFNs). For the selected natural gas composition of 28% of acid gas content (8% CO2 and 20% H2S), we have found that a CO2 permeance of 200 GPU and a CO2/CH4 selectivity of 16 is an optimal target.


Sign in / Sign up

Export Citation Format

Share Document