Simulation of an Offshore Natural Gas Purification Process for CO2 Removal with Gas–Liquid Contactors Employing Aqueous Solutions of Ethanolamines

2013 ◽  
Vol 52 (22) ◽  
pp. 7074-7089 ◽  
Author(s):  
José Luiz de Medeiros ◽  
Andressa Nakao ◽  
Wilson M. Grava ◽  
Jailton F. Nascimento ◽  
Ofélia de Queiroz F. Araújo
Keyword(s):  
Natural Gas ◽  
Aqueous Solutions ◽  
Co2 Removal ◽  
Gas Purification ◽  
Purification Process ◽  
Natural Gas Purification

scholarly journals Optimization of the Natural Gas Purification Process Based on Exergy Analysis

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Baocheng Shi ◽  
Jianpeng Pan ◽  
Xiaochi Guo ◽  
Xingkai Zhang ◽  
Lijuan Wu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Natural Gas ◽  
Energy System ◽  
Heat Transfer Process ◽  
Reflux Ratio ◽  
Gas Purification ◽  
Purification Process ◽  
Gas Field ◽  
Natural Gas Purification ◽  
Sensitivity Analysis Method

This study is aimed at carrying out investigations on a domestic gas field, located in Yanchang, China, with a view to optimize the natural gas purification process. The main objectives of this work are (i) to reduce the natural gas purification system’s energy consumption and (ii) improve the existing purification levels. Process simulations were carried out using Aspen Plus™ software, and a comprehensive technical and economic analysis was carried out. The single-factor sensitivity analysis method was used to determine the parameters of absorption, such as the reflux ratio and number of stages. The heat transfer process was analyzed using the energy-saving method of the energy system, and a modified process was recommended. The optimization results show that the recommended system has better purification performance, the comprehensive energy consumption is effectively reduced, and the energy efficiency is improved by 9%.

scholarly journals Multi-objective optimization of high-sulfur natural gas purification plant

2019 ◽  
Vol 16 (6) ◽  
pp. 1430-1441
Author(s):  
Jian-Feng Shang ◽  
Zhong-Li Ji ◽  
Min Qiu ◽  
Li-Min Ma
Keyword(s):  
Energy Consumption ◽  
Natural Gas ◽  
Simulation Model ◽  
Production Rate ◽  
Gas Purification ◽  
Purification Process ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Natural Gas Purification ◽  
Bp Model

Abstract There exists large space to save energy of high-sulfur natural gas purification process. The multi-objective optimization problem has been investigated to effectively reduce the total comprehensive energy consumption and further improve the production rate of purified gas. A steady-state simulation model of high-sulfur natural gas purification process has been set up by using ProMax. Seven key operating parameters of the purification process have been determined based on the analysis of comprehensive energy consumption distribution. To solve the problem that the process model does not converge in some conditions, back-propagation (BP) neural network has been applied to substitute the simulation model to predict the relative parameters in the optimization model. The uniform design method and the table U21 (107) have been applied to design the experiment points for training and testing BP model. High prediction accuracy can be achieved by using the BP model. Non-dominated sorting genetic algorithm-II has been developed to optimize the two objectives, and 100 Pareto optimal solutions have been obtained. Three optimal points have been selected and evaluated further. The results demonstrate that the total comprehensive energy consumption is reduced by 13.4% and the production rate of purified gas is improved by 0.2% under the optimized operating conditions.

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