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Abstract
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Chemical Engineering

Natural Gas Pipeline Network Modeling Using PIPSYS Program

Profile image of Ezeddin H . AlshbukiEzeddin H . Alshbuki

2021

https://doi.org/10.36349/EASJECS.2021.V04I08.002
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9 pages

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Abstract

Quick Response Code Abstract: Natural gas is considered one of the most important sources of energy currently available in the world, and Some difficulties face the process of transporting gas through pipelines, including terrain and stages that occur during the transportation process, and this study was based on simulating the transfer of the produced gas from three wells that were linked Together with a steel pipe network of different lengths and diameters from 3 to 6 inches and a total length of about 3274 meters connected to the main transportation pipeline with a diameter of 6 inches and by observing the change in heat loss caused by the piping network. It was shown a decrease in the amount of heat lost from the pipes as a result of wrapping these pipes with a layer of Asphalt with a thickness of one millimeter to avoid the occurrence of corrosion of the outer surface and to prevent the formation of hydrates, and with the continued flow of gas in the steady-state through the ne...

Key takeaways
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  1. The study simulates natural gas transport from three wells through a 3274-meter pipeline network using PIPSYS.
  2. Pipelines range from 3 to 6 inches in diameter, impacting thermal loss and pressure dynamics.
  3. Heat loss decreases significantly when pipes are insulated with 1 mm of asphalt.
  4. Operating pressure adjustments improve stability and flow rates, highlighting the importance of pressure management.
  5. The analysis employs various state equations, notably the Peng-Robinson equation for vapor phase properties.
Figures (10)
Mufida Mohamed Bey et al; East African Scholars J Eng Comput Sci; Vol-4, Iss-8 (Oct, 2021): 115-123 Fig-1: Field data show that wells provide the following rates
Mufida Mohamed Bey et al; East African Scholars J Eng Comput Sci; Vol-4, Iss-8 (Oct, 2021): 115-123 Fig-1: Field data show that wells provide the following rates
The branches showing the uneven landscape are partitioned into a few areas with height focuses characterized for the focuses where the slant changes fundamentally. These situations in the exhibit are set apart in the schematic bar outline with the stature value. For each branch, the rise and distance data acquired from the geological guide is shown. With this information, it is conceivable to take off the
The branches showing the uneven landscape are partitioned into a few areas with height focuses characterized for the focuses where the slant changes fundamentally. These situations in the exhibit are set apart in the schematic bar outline with the stature value. For each branch, the rise and distance data acquired from the geological guide is shown. With this information, it is conceivable to take off the
Type 40 steel tubing is used everywhere and all branches are buried 0.914 meter deep. Not all pipes are insulated. The consequent table summarizes the peak knowledge for all branches. The peak provided for the tube units corresponds to the pipe termination (i.e. downstream end). The peak and diameters of the tube and also the length of every branch are shown in Table 2 (Fanaei, 2010):
Type 40 steel tubing is used everywhere and all branches are buried 0.914 meter deep. Not all pipes are insulated. The consequent table summarizes the peak knowledge for all branches. The peak provided for the tube units corresponds to the pipe termination (i.e. downstream end). The peak and diameters of the tube and also the length of every branch are shown in Table 2 (Fanaei, 2010):
Fig-2: Schematic Process Flow Diagram for the pipeline system presentation of a specific framework utilizing the PIPESYS augmentation, at that point figure significant boundaries, for example, pressure drops, temperature changes, and the measure of liquid maintenance. Notwithstanding determining stream frameworks. In this work, the pace of each borehole is determined and is autonomous of the pace of some other borehole. In such cases, the framework can be displayed with a solitary assurance of the pressing factor drop per branch. Simultaneously, temperature and _ pressing factor figuring’s can be made if the temperature of each well is known. As the pressing factors are constant all through the organization, pressing factors must be given Then, PIPESYS performs iterative calculations of the pipeline in all the branches so that the starting place has an identified temperature and pressure. in one spot. For instance, the pressing factor can be changed at each borehole or at the last conveyance point and PIPESYS will figure the pressing factor somewhere else. A pressing factor of 7308 kPa is indicated for opening A. PIPESYS at that point decides the pressing factors in different pieces of the framework that meet this detail. In the event that conceivable, heat move figuring’s should be made toward the stream. The temperatures of the wellheads are likewise known. For this work, the temperatures of the liquids in Welles A, B, and C are referred to and should be entered as indicated conditions. In SRK-Twu and PR-Twu models, the original a function is replaced by a function of (Twu, Bluck, Cunningham and Coon, 1991). The PR model contains only one adjustable parameter for each pair of binary components, while the TST contains 5 adjustable parameters for each binary pair. SRK with HV is available in Aspen Plus, but this model is not available in Aspen HYSYS. Process simulation programs are useful for simulating such processes since various vapor / liquid balance models are available in the programs. At Aspen HYSYS, the SRK (Soave, 1972), PR (Peng and Robinson, 1976) and TST (Twu, Tassone, Sim and Watanasiri, 2005) equilibrium models are available for systems containing methane, carbon dioxide, and water.
Fig-2: Schematic Process Flow Diagram for the pipeline system presentation of a specific framework utilizing the PIPESYS augmentation, at that point figure significant boundaries, for example, pressure drops, temperature changes, and the measure of liquid maintenance. Notwithstanding determining stream frameworks. In this work, the pace of each borehole is determined and is autonomous of the pace of some other borehole. In such cases, the framework can be displayed with a solitary assurance of the pressing factor drop per branch. Simultaneously, temperature and _ pressing factor figuring’s can be made if the temperature of each well is known. As the pressing factors are constant all through the organization, pressing factors must be given Then, PIPESYS performs iterative calculations of the pipeline in all the branches so that the starting place has an identified temperature and pressure. in one spot. For instance, the pressing factor can be changed at each borehole or at the last conveyance point and PIPESYS will figure the pressing factor somewhere else. A pressing factor of 7308 kPa is indicated for opening A. PIPESYS at that point decides the pressing factors in different pieces of the framework that meet this detail. In the event that conceivable, heat move figuring’s should be made toward the stream. The temperatures of the wellheads are likewise known. For this work, the temperatures of the liquids in Welles A, B, and C are referred to and should be entered as indicated conditions. In SRK-Twu and PR-Twu models, the original a function is replaced by a function of (Twu, Bluck, Cunningham and Coon, 1991). The PR model contains only one adjustable parameter for each pair of binary components, while the TST contains 5 adjustable parameters for each binary pair. SRK with HV is available in Aspen Plus, but this model is not available in Aspen HYSYS. Process simulation programs are useful for simulating such processes since various vapor / liquid balance models are available in the programs. At Aspen HYSYS, the SRK (Soave, 1972), PR (Peng and Robinson, 1976) and TST (Twu, Tassone, Sim and Watanasiri, 2005) equilibrium models are available for systems containing methane, carbon dioxide, and water.
Fig-3: Temperature change during the Branch 5 of the pipe network Figures 3 and 4 shows the change in temperature and pressure on the arrangement through the fifth branch of the pipeline network. This was calculated using three models of state equations, namely Soave-Redlich-Kwong equation of state; (SRK), Peng- Robinson; (PR), Peng-Robinson-Stryjek-Vera; (PRSV). By observing the curves of the obtained results, they
Fig-3: Temperature change during the Branch 5 of the pipe network Figures 3 and 4 shows the change in temperature and pressure on the arrangement through the fifth branch of the pipeline network. This was calculated using three models of state equations, namely Soave-Redlich-Kwong equation of state; (SRK), Peng- Robinson; (PR), Peng-Robinson-Stryjek-Vera; (PRSV). By observing the curves of the obtained results, they
Table-3: Summary of results of the mass and energy balancing values for all network line were close, and the Peng Robinson equation was adopted in calculating the rest of the results in this work because it is more appropriate and from Figure 4 it was found that the largest value of the pressure drop was in the middle of the branch approximately due to the influencing flow factors.
Table-3: Summary of results of the mass and energy balancing values for all network line were close, and the Peng Robinson equation was adopted in calculating the rest of the results in this work because it is more appropriate and from Figure 4 it was found that the largest value of the pressure drop was in the middle of the branch approximately due to the influencing flow factors.
Fig-6: Thermal loss in network branches Figure 6showing the thermal loss of each part of the pipelines in the case of thermal insulation with a layer of asphalt with a thickness of one mm and without insulation, as it was found that the largest event
Fig-6: Thermal loss in network branches Figure 6showing the thermal loss of each part of the pipelines in the case of thermal insulation with a layer of asphalt with a thickness of one mm and without insulation, as it was found that the largest event
Fig-5: Hydrate formation condition and Phase diagram formation were between the two points (429, -9.11), and (12835, 22.25) but this was avoided. The problem is at the final exit stream (PS5), and therefore hydrates are not formed at these operating conditions. Figure 5 is the phase diagram of Branch 5 of the piping network, and through the calculations using the PIPSYS program, the critical point (P, T) was (9908.14, -14.1) and the conditions for hydrate
Fig-5: Hydrate formation condition and Phase diagram formation were between the two points (429, -9.11), and (12835, 22.25) but this was avoided. The problem is at the final exit stream (PS5), and therefore hydrates are not formed at these operating conditions. Figure 5 is the phase diagram of Branch 5 of the piping network, and through the calculations using the PIPSYS program, the critical point (P, T) was (9908.14, -14.1) and the conditions for hydrate
Fig-4: Pressure change during the Branch 5 of the pipe network Mufida Mohamed Bey et al; East African Scholars J Eng Comput Sci; Vol-4, Iss-8 (Oct, 2021): 115-123
Fig-4: Pressure change during the Branch 5 of the pipe network Mufida Mohamed Bey et al; East African Scholars J Eng Comput Sci; Vol-4, Iss-8 (Oct, 2021): 115-123
Fig-7: Normal and Adjusted pressure of three wells last stream Figure 7 shows the operating pressure of the three wells and Branch 5 in the case of normal operation and adjusted operation where there is a clear In this paper, the transportation of natural gas from three production wells through a network of steel pipelines over rough terrain was simulated using PIPSYS progr am with different diameters ranging from 3 to 6 inches and a total length of about 3274 meters for the purpose of power supply operations. The transmission process was tested under stable transport conditions, studying some important factors, like temperature, p flow from we flow using d ressure, and pressure drop that affects gas ls through the network over the length of ifferent models of state equations to calculate the maximum pressure difference in the fifth and last branch and the conditions of hydrate formation and the critica point. All results were close as the best- operating conditions for the network were determined from pressure and temperature. The thermal loss of all branches of the network was also studied, and the results were mixed for all branches. This work can be developed to study all variables of the gas flow in an unstable state network. with the same operating conditions of the
Fig-7: Normal and Adjusted pressure of three wells last stream Figure 7 shows the operating pressure of the three wells and Branch 5 in the case of normal operation and adjusted operation where there is a clear In this paper, the transportation of natural gas from three production wells through a network of steel pipelines over rough terrain was simulated using PIPSYS progr am with different diameters ranging from 3 to 6 inches and a total length of about 3274 meters for the purpose of power supply operations. The transmission process was tested under stable transport conditions, studying some important factors, like temperature, p flow from we flow using d ressure, and pressure drop that affects gas ls through the network over the length of ifferent models of state equations to calculate the maximum pressure difference in the fifth and last branch and the conditions of hydrate formation and the critica point. All results were close as the best- operating conditions for the network were determined from pressure and temperature. The thermal loss of all branches of the network was also studied, and the results were mixed for all branches. This work can be developed to study all variables of the gas flow in an unstable state network. with the same operating conditions of the

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References (16)

  1. ABD. Hamid, M. K. (2013). Aspen HYSYS: An Introduction to Chemical Engineering Simulation for Chemical Engineering Undergraduate Students. https://nbn-resolving.org/urn:nbn:de:101:1- 2013040511251.
  2. Fanaei, M.A., & Niknam, M. (2010). Looped Pipeline System for Increasing the Capacity of Natural Gas Transmission.
  3. Granmore, R. G. (2000). Modern Petroleum Technology (2nd ed.). (R. A. Dawe, Ed.) Hoboken: Johon Wiley and Sons Inc.
  4. Kumar, S. (1987). Gas production engineering. Houston, Gulf Pub. Co., Book Division.
  5. Mohitpour, M., Golshan, H., & Murray, M. A. (2003). Pipeline design & construction: a practical approach. Amer Society of Mechanical.
  6. Mokhatab, S. S. (2005). Fandamental principles of the pipeline integrity a critical review. J. Pipeline Integr, 4(4), 227-232.
  7. Osiadacz, A. J., & Chaczykowski, M. (2001). Comparison of isothermal and non-isothermal pipeline gas flow models. Chemical Engineering Journal, 81(1-3), 41-51.
  8. Peng, D. Y., & Robinson, D. B. (1976). A new two-constant equation of state. Industrial & Engineering Chemistry Fundamentals, 15(1), 59- 64.
  9. Scribd.com. (2021). [online] Available at: <https://www.scribd.com/document/99564479/Unti tled> [Accessed 19 February 2021].
  10. Scribd.com. (2021). [online] Available at: <https://www.scribd.com/document/267275518/pip esys-tutor-pdf> [Accessed 19 February 2021].
  11. Smith, J. M., Van Ness, H. C., & Abbott, M. M. (2005). Introduction to chemical engineering thermodynamics. Boston, McGraw Hill.
  12. Soave. (1972). Equilibrium constants from a modified Redlich-Kwong equation of state. Chemical Engineering Science, 27:1197-1203, 1972.
  13. Twu, C., Tassone, V., Sim, W. and Watanasiri, S., 2005. Advanced equation of state method for dehydration. Fluid Phase Equilibria, 228-229, pp.213-221.
  14. Twu, C., Bluck, D., Cunningham, J. and Coon, J., 1991. A cubic equation of state with a new alpha function and a new mixing rule. Fluid Phase Equilibria, 69, pp.33-50.
  15. Simulation Sciences Inc. (1988). PIPEPHASE: steady state multiphase simulator for pipelines, networks, and production systems. [Fullerton, Calif.], Simulation Sciences Inc.
  16. Cite This Article: Mufida Mohamed Bey et al (2021). Natural Gas Pipeline Network Modeling Using PIPSYS Program. East African Scholars J Eng Comput Sci, 4(8), 115-123.

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