The continuous exploration of new gas reserves along with the increase in the global power demand necessitates the development of less demanding technologies, especially in terms of energy minimization. However, the development of CO₂-rich type of gas resources poses significant challenges in the sour gas treatment industry due to bulk CO₂ contaminants and high overflowing pressure at the well- head. For the treatment of CO₂ rich natural gas, reliable data at high CO₂ partial pressure condition is very crucial and the insight of the transient conditions must be thoroughly studied to design a controlled process that can handle any disturbances that might arise in the future. This paper reports the dynamic modelling and basic regulatory control studies of a high-pressure absorption pilot plant, which is located at Universiti Teknologi PETRONAS (UTP), for CO₂ removal using MEA solvent. Steady state simulation has been demonstrated using Aspen Plus utilizing both equilibrium and rate based approaches. Dynamic and control analysis is then carried out in Aspen Dynamic using a modified equilibrium stage model.

随着全球天然气需求的不断增长，对新天然气储量的不断开采，使得对低要求技术的开发成为必要，特别是在能源最小化方面。但是，由于大量的CO ₂污染物和井口处的高溢流压力，富含CO ₂的天然气资源的开发在酸性气体处理行业提出了严峻的挑战。对于富含CO _2的天然气的处理，在高CO _2下的可靠数据分压条件非常关键，必须彻底研究瞬态条件的洞察力，以设计可处理将来可能出现的任何干扰的受控过程。本文报告了位于Teknologi PETRONAS大学（UTP）的高压吸收试验工厂的动态建模和基本法规控制研究，该试验工厂使用MEA溶剂去除CO ₂。使用平衡和基于速率的方法的Aspen Plus已证明了稳态仿真。然后使用改进的平衡阶段模型在Aspen Dynamic中进行动态和控制分析。