Preliminary Study on Integrated Simulation
299
5 Conclusion
A steady-state process simulation model for natural gas pipeline network with arbitrary
topology is established and solved by linear approximation method in this paper. The
control conditions of non-pipe elements such as compressor characteristic equation and
valve opening is considered in this paper, which makes the control conditions of nonpipe elements more diversified and meets the needs of field actual calculation. The
temperature is calculated on the basis of hydraulic calculation, and the steady-state
simulation of the gas gathering pipeline network is solved by the method of hydraulic
and thermal decoupling. The calculation accuracy and speed show that the proposed
calculation method is feasible and suitable for the calculation of pressure, flow and
temperature parameters of any pipeline network structure. Prediction methods of hydrate
formation conditions in natural gas gathering pipeline network are analyzed in this paper.
Chen-Guo model is selected to calculate the temperature of hydrate formation under
given pressure. The results are verified by comparing the numerical results with the
literature reference which show the correctness and accuracy of the proposed model.
So, this method can be used to predict the hydrate formation location of gas gathering
pipeline network.
Acknowledgments. This work was supported by PetroChina Planning & Engineering Institute
“Study on Energy System Optimization Model of Gas Field Surface Engineering”. The authors
are grateful to all study participants.
References
1. Cross, H.: Analysis of flow in networks of conduits or Conductors (1936)
2. Stoner, M.A.: Steady-state analysis of gas production. In: Prepared for the 44th Annual Fall
Meeting of the Society of Petroleum Engineer of AIME2 to be held in Denver, paper SPE
2554, Transmission and Distribution System, Colo (1969)
3. Wylie, E.B., Stoner, M.A., Streeter, V.L.: Network system transient calculation by implicit
method. In: Presented at SPE 45th annual fall meeting, paper SPE 2963, Huston (1970)
4. Osiadacz, A.J.: Simulation and Analysis of Gas Networks, 1st edn. Gulf Publishing Company,
Houston (1987)
5. Krstic, M R.: Analysis of gas distribution network topological framework and algorithms,
SPE 2218 (1991)
6. Wang, S.X., Zeng, Z.Q.: Static and dynamic simulation of natural gas pipeline network. Nat.
Gas. Ind. 15(2), 59–63 (1995)
7. Li, C.G., Zeng, Z.Q.: Simulation of gas pipeline network system. Oil Gas Storage Transp.
16(2), 21–25 (1997)
8. Zuo, L.L., W, C.C.: Expansion of steady-state simulation of gas transmission and distribution
network. J. China Univ. Petrol. 1, 112–119 (2006)
9. Zuo, L.L., W, C.C.: Discussion on the number of hydraulic calculation nodes and pipe sections
of gas pipeline network. Gas Heat 25(3), 36–39(2005)
10. Dejan, B.: An improvement of Hardy Cross method applied on looped spatial natural gas
distribution networks. Appl. Energy 86, 1290–1300 (2009)
11. Abranham, D.W., Mohd, A.M.: Simulation model for natural gas transmission pipeline
network system. Simul. Model. Pract. Theory 19, 196–212 (2011)
299
5 Conclusion
A steady-state process simulation model for natural gas pipeline network with arbitrary
topology is established and solved by linear approximation method in this paper. The
control conditions of non-pipe elements such as compressor characteristic equation and
valve opening is considered in this paper, which makes the control conditions of nonpipe elements more diversified and meets the needs of field actual calculation. The
temperature is calculated on the basis of hydraulic calculation, and the steady-state
simulation of the gas gathering pipeline network is solved by the method of hydraulic
and thermal decoupling. The calculation accuracy and speed show that the proposed
calculation method is feasible and suitable for the calculation of pressure, flow and
temperature parameters of any pipeline network structure. Prediction methods of hydrate
formation conditions in natural gas gathering pipeline network are analyzed in this paper.
Chen-Guo model is selected to calculate the temperature of hydrate formation under
given pressure. The results are verified by comparing the numerical results with the
literature reference which show the correctness and accuracy of the proposed model.
So, this method can be used to predict the hydrate formation location of gas gathering
pipeline network.
Acknowledgments. This work was supported by PetroChina Planning & Engineering Institute
“Study on Energy System Optimization Model of Gas Field Surface Engineering”. The authors
are grateful to all study participants.
References
1. Cross, H.: Analysis of flow in networks of conduits or Conductors (1936)
2. Stoner, M.A.: Steady-state analysis of gas production. In: Prepared for the 44th Annual Fall
Meeting of the Society of Petroleum Engineer of AIME2 to be held in Denver, paper SPE
2554, Transmission and Distribution System, Colo (1969)
3. Wylie, E.B., Stoner, M.A., Streeter, V.L.: Network system transient calculation by implicit
method. In: Presented at SPE 45th annual fall meeting, paper SPE 2963, Huston (1970)
4. Osiadacz, A.J.: Simulation and Analysis of Gas Networks, 1st edn. Gulf Publishing Company,
Houston (1987)
5. Krstic, M R.: Analysis of gas distribution network topological framework and algorithms,
SPE 2218 (1991)
6. Wang, S.X., Zeng, Z.Q.: Static and dynamic simulation of natural gas pipeline network. Nat.
Gas. Ind. 15(2), 59–63 (1995)
7. Li, C.G., Zeng, Z.Q.: Simulation of gas pipeline network system. Oil Gas Storage Transp.
16(2), 21–25 (1997)
8. Zuo, L.L., W, C.C.: Expansion of steady-state simulation of gas transmission and distribution
network. J. China Univ. Petrol. 1, 112–119 (2006)
9. Zuo, L.L., W, C.C.: Discussion on the number of hydraulic calculation nodes and pipe sections
of gas pipeline network. Gas Heat 25(3), 36–39(2005)
10. Dejan, B.: An improvement of Hardy Cross method applied on looped spatial natural gas
distribution networks. Appl. Energy 86, 1290–1300 (2009)
11. Abranham, D.W., Mohd, A.M.: Simulation model for natural gas transmission pipeline
network system. Simul. Model. Pract. Theory 19, 196–212 (2011)