DIAGNOSING EMERGENCY LEAKS FROM THE LINEAL PART OF GAS TRANSPORT SYSTEMS IN THE CONDITIONS OF THE IRUNDERLOAD
DOI:
https://doi.org/10.31471/1993-9965-2023-1(54)-31-35Keywords:
gas transportation system; incomplete loading; non-stationary process; emergency leaks; diagnosis.Abstract
The principles of determining the occurrence of an emergency gas leakage from a gas pipeline and its linear coordinate under conditions of incomplete loading of the gas transmission system are considered. It is noted that under conditions of unstable gas supply and withdrawal, unsteady processes in the linear part of the gas pipeline caused by gas flow disturbances are characteristic, which excludes the possibility of diagnosing emergency leaks based on fluctuations in the mode parameters at the time of their occurrence. Diagnostic methods based on statio-nary gas-dynamic models are imperfect due to significant errors in the result caused by the non-stationarity of the gas transmission process. Instead, methods based on non-stationary models are too complex and require a large amount of input information and a long implementation time, which also excludes the possibility of their operational application. Therefore, it is advisable to use methods based on the use of non-stationary mathematical models with a simplified system of their implementation. As such, we propose simplified methods based on non-stationary models that do not require a significant amount of input data, and at the same time provide satisfactory results for practice. Among them are the method of lowering the order of the differential equations of momentum and continuity, which involves partial replacement of differential operators by finite increments of the desired functions, and the method of taking into account changes in the linear velocity of gas in pipes, which requires measuring gas flow parameters along the length of the pipeline and in time. These methods take into account the non-stationarity of the process of gas transmission through gas pipelines and are relatively simple to implement. The results of the computational experiment show that the accuracy and reliability of the obtained results meet the requirements of practice.
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