Abstract
Optimal control, prevention and investigation of accidents, and detection of discrepancies in estimated gas supply and distribution volumes are relevant problems of trunkline operation. Efficient dealing with these production tasks is based on the numerical recovery of spacetime distribution of nonisothermal transient flow parameters of transmitted gas mixtures based on full-scale measurements in a substantially limited number of localities spaced considerable distances apart along the gas pipelines. The paper describes a practical method of such recovery by defining and solving a special identification problem. Simulations of product flow parameters in extended branched pipelines, involving calculations of the target function and constraint function for the identification problem of interest, are done in the 1D statement. In conclusion, results of practical application of the method in the gas industry are briefly discussed.
Highlights
Optimal accident-free control of gas trunklines and distribution pipelines, prevention and investigation of accidents in pipeline systems, and detection and localization of discrepancy sources in estimated gas supply and distribution volumes are relevant problems for pipeline transmission, mechanical engineering, and chemical industry 1–6
Modern methods of gas flow modeling along extended branched pipelines can be a base for the obtaining of practically significant correlation between calculated and measured estimates of gas flow parameters by usage of Dirichlet boundary conditions, which are given at chosen boundaries of pipeline network
The method was used for numerical recovery of the flow of natural gas delivered from a single supplier to consumers through seven branches of the Moscow Gas Ring MGR
Summary
Optimal accident-free control of gas trunklines and distribution pipelines, prevention and investigation of accidents in pipeline systems, and detection and localization of discrepancy sources in estimated gas supply and distribution volumes are relevant problems for pipeline transmission, mechanical engineering, and chemical industry 1–6. Solution of these production problems requires advanced computer simulation methods These methods use in-depth numerical analysis of commercial and natural gas mixture flow dynamics in high- and medium-pressure linear and circular networks. The cornerstone of such analysis is adequate recovery of spacetime distribution of nonisothermal transient flow parameters of transmitted gas mixtures based on full-scale measurements in a substantially limited number of localities spaced considerable distances apart along the investigated pipeline system. At production problems solution one of main reasonableness criteria of obtained numerical estimates of flow parameters is its good correlation in time with full-scale measurements These measurements are satisfied for limited number of gas flow cross-sections in pipeline. Using the above background information, we should recover distributions of basic gas parameters i.e., density, pressure, temperature, flow velocity, and composition along the length of the pipeline and in time for the given interval Δτ
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