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Gas transmission pipeline compressor stations serve as a crucial component within the entirety of the natural gas transport system, with their stability being directly tied to the security and consistency of natural gas supply. In the event of external disturbances and internal faults, these compressor stations must exhibit a high level of resilience, defined by their ability to resist shocks and recover swiftly from such incidents. To this end, the present study has established an evaluation framework based on continuous-time Markov processes, which aims to quantitatively analyze and assess the resilience of compressor station facilities. Within this framework, the study initially employs continuous-time Markov processes to model the state transitions of compressor station facilities, thereby capturing the behavior of stations and the probabilities of state transitions under various operational conditions and external perturbations. Stemming from this, the paper further delineates three core evaluative indices, which, when collectively assessed, facilitate a comprehensive quantification of the resilience level of a compressor station. These indices provide a scientific foundation for the design optimization, operational management, and emergency response planning of compressor stations. This research offers a fresh perspective and tools for the achievement of stable and sustainable operation within pipeline gas transmission systems.
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