Abstract
Natural gas pipelines have attracted increasing attention in the energy industry thanks to the current demand for green energy and the advantages of pipeline transportation. A novel deep learning method is proposed in this paper, using a coupled network structure incorporating the thermodynamics-informed neural network and the compressor Boolean neural network, to incorporate both functions of pipeline transportation safety check and energy supply predictions. The deep learning model is uniformed for the coupled network structure, and the prediction efficiency and accuracy are validated by a number of numerical tests simulating various engineering scenarios, including hydrogen gas pipelines. The trained model can provide dispatchers with suggestions about the number of phases existing during the transportation as an index showing safety, while the effects of operation temperature, pressure and compositional purity are investigated to suggest the optimized productions.
Highlights
Conventional fossil energy has strong geographic attributes [1], and the uneven distribution of typical oil and gas resources has led to countries around the world competing for control over energy supply, transportation channels and application markets
The thermodynamics-informed neural network (TINN) is used to accelerate phase equilibrium predictions of the transported fluids at first, and the output dispatch security Boolean value will be checked to decide whether the dispatching could be considered under the environmental conditions
The proposed coupled deep learning method is applied in the intelligent natural gas pipeline dispatching, and the prediction performance is evaluated
Summary
Conventional fossil energy has strong geographic attributes [1], and the uneven distribution of typical oil and gas resources has led to countries around the world competing for control over energy supply, transportation channels and application markets. The establishment of a dispatch system requires natural gas industries to deeply analyze the characteristics and physical rules of their products and adopt certain coordination and command methods to achieve overall monitoring of the natural gas transportation process to ensure the smooth flow of information. The use of a supervisory control and data acquisition (SCADA) system is well integrated into the dispatch and operation management of natural gas pipelines. This system effectively solves the problems of slow information transmission and difficulty in dispatching and greatly improves the intelligence level of natural gas pipelines.
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