As a result of the increased energy demand and the required environmental compliance, purification of natural gas (NG) need to be processed through more efficient technologies. Most the NG sources contain H₂S and CO₂ as acidic contaminants causing corrosion, reduction in the calorific value of the fuel, and toxicity. Removal of these gases (gas sweetening) is mostly performed in a reactive absorber followed by a stripper for solvents regeneration. Amine solvents are very suitable due to their natural affinity towards the acid gases. In the setting‐up of newer plants or retrofitting of old units in existing plants to improve the efficiency of the sweetening process, modeling, optimization, and safer operational control of the process have drawn the attention of many researchers. The development of better models must take into account the synthesis and implementation of proper control strategies. Rate‐based, equilibrium, and kinetic models supported by thermodynamic properties of the components have been discussed here and experiments carried out to identify new process models have also been presented.

中文翻译：

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天然气脱硫过程的数学建模，参数估计和操作控制

由于不断增长的能源需求和所需的环境合规性，需要通过更高效的技术来处理天然气（NG）的净化。大多数NG源包含H ₂ S和CO ₂会导致腐蚀，降低燃料的热值和毒性的酸性污染物。这些气体的去除（气体脱硫）通常在反应性吸收器中进行，然后通过汽提塔进行溶剂再生。胺溶剂由于其对酸性气体的天然亲和力而非常适合。在新建工厂或在现有工厂中对旧设备进行改造以提高甜味过程的效率时，该过程的建模，优化和更安全的操作控制已引起了许多研究人员的关注。更好的模型的开发必须考虑适当控制策略的综合和实施。基于费率的均衡