Utilized for the design of the processing of the Natural gas to generate LPG, NGL, Lean gas and determination of the material balance, energy balance and the required equipment design and specifications
2
Excel
Utilized for data analytics and arrangement for onward export to MatLab application.
3
MATLAB
Utilized for generation of charts, graphs and tables for analysis
4
Optimization tool, (Genetic Algorithm)
Deployed for the determination of the optimum parameters.
The materials used for the study are outline in Table 3.1.
Figure 3.2: Cottonwooden gas process route (Process Flow Diagram)
FIGURE 2
Figure 3.3: Cottonwooden gas Light Hydrocarbon recovery system
FIGURE 3
Figure 3.1: Flow diagram of the research procedure
FIGURE 4
Figure 3.4: Sequential Modeling
From the sequential model presented in Figure 3.3, it will be sectionalized into two areas which represented the process recovering areas. Area 1 has the fractionation train where the NGL, LPG and the lean gases will be purified but with a purity level (Cottonwooden gas limited data). The Area 1 increased the purity but with low percent. Hence, an optimization will be carried out to determine the best route and process equipment to add or subtract to improve the purity level of the products to improve the economic analysis.
FIGURE 5
Figure 3.5: Flow chart of the genetic algorithm optimization procedure
FIGURE 6
Figure 3.6: Simulation of the optimized system
FIGURE 7
Figure 4.1: Material Balance around the slug catcher
FIGURE 8
Figure 4.2: Material balance to the De-ethanizer
FIGURE 9
Figure 4.3: Material balance around the LG purification column
FIGURE 10
Figure 4.4: balance around the De-butanizer
FIGURE 11
Figure 4.6: Product activities cost of the Natural gas processing system
FIGURE 12
Figure 4.7: Total Production cost (TPC) and Profit achieved
FIGURE 13
Figure 4.8: De-ethanizer (a) Temperature and (b) pressure progress during optimization
FIGURE 14
Figure 4.9: Optimized De-butanizer inlet (c) temperature (d) Pressure
Tables at a glance
Figures at a glance