The digital twin-driven performance model provides an attractive option for the warn gas-path faults of the gas turbines.However,three technical difficulties need to be solved:(1)low modeling precision caused by indiv...The digital twin-driven performance model provides an attractive option for the warn gas-path faults of the gas turbines.However,three technical difficulties need to be solved:(1)low modeling precision caused by individual differences between gas turbines,(2)poor solution efficiency due to excessive iterations,and(3)the false alarm and missing alarm brought by the traditional fixed threshold method.This paper proposes a digital twin model-based early warning method for gas-path faults that breaks through the above obstacles from three aspects.Firstly,a novel performance modeling strategy is proposed to make the simulation effect close to the actual gas turbine by fusing the mechanism model and measurement data.Secondly,the idea of controlling the relative accuracy of model parameters is developed.The introduction of an error module to the existing model can greatly shorten the modeling cycle.The third solution focuses on the early warning based on the digital twin model,which self-learns the alarm threshold of the warning feature of gas-path parameters using the kernel density estimation.The proposed method is utilized to analyze actual measured data of LM2500+,and the results verify that the new-built digital model has higher accuracy and better efficiency.The comparisons show that the proposed method shows evident superiority in early warning of performance faults for gas turbines over other methods.展开更多
Seepage-type gas hydrate accumulation in subsea shallow formations involves complicated thermohydro-solid coupling processes and matching problem between various accumulation elements.Theformation physical properties ...Seepage-type gas hydrate accumulation in subsea shallow formations involves complicated thermohydro-solid coupling processes and matching problem between various accumulation elements.Theformation physical properties control local natural gas migration pathway and thus the final reservoircharacteristics of hydrates.In this paper,a novel mixed-flux model for gas hydrate accumulation isestablished and then used to simulate the process of methane gas migration into the shallow stratum toform a hydrate reservoir.The effects of reservoir heterogeneity and gas source conditions on the distribution of pore fluid and hydrate accumulation are examined.The simulation results show thatreservoir heterogeneity is conducive to the retention and lateral migration of CH4 in a hydrate stabilityzone.CH4 can contact more pore water to form a large hydrate reserve,but the formed hydrate is oftendispersed.Low-permeability layers enhance the trapping of CH4 and form a uniform and large hydratesaturation.Besides,gas source conditions have an important impact on the hydrate accumulation inreservoirs.Large gas flux,small pore water flux,continuous gas supply,high content of heavy components in natural gas,and numerous gas source points contribute to large amounts of hydrates generationin a certain time period.The presented work will deepen our understanding of the controls of natural gashydrate systems in subea shallow formations.展开更多
基金co-supported by the National Postdoctoral Program for Innovative Talent(No.BX20180031)。
文摘The digital twin-driven performance model provides an attractive option for the warn gas-path faults of the gas turbines.However,three technical difficulties need to be solved:(1)low modeling precision caused by individual differences between gas turbines,(2)poor solution efficiency due to excessive iterations,and(3)the false alarm and missing alarm brought by the traditional fixed threshold method.This paper proposes a digital twin model-based early warning method for gas-path faults that breaks through the above obstacles from three aspects.Firstly,a novel performance modeling strategy is proposed to make the simulation effect close to the actual gas turbine by fusing the mechanism model and measurement data.Secondly,the idea of controlling the relative accuracy of model parameters is developed.The introduction of an error module to the existing model can greatly shorten the modeling cycle.The third solution focuses on the early warning based on the digital twin model,which self-learns the alarm threshold of the warning feature of gas-path parameters using the kernel density estimation.The proposed method is utilized to analyze actual measured data of LM2500+,and the results verify that the new-built digital model has higher accuracy and better efficiency.The comparisons show that the proposed method shows evident superiority in early warning of performance faults for gas turbines over other methods.
基金This research is supported by the Fundamental Research Funds for the Central Universities(No.15CX05036A,18CX05009A)the National Key Basic Research Program 973 project(No.2015CB251201)+2 种基金It is also partially financed by the National Major S&T Project(No.2016ZX05056004-003)the General Project of Shandong Natural Science Foundation(ZR2020ME090)the National Natural Science Foundation of China(No.51974347)。
文摘Seepage-type gas hydrate accumulation in subsea shallow formations involves complicated thermohydro-solid coupling processes and matching problem between various accumulation elements.Theformation physical properties control local natural gas migration pathway and thus the final reservoircharacteristics of hydrates.In this paper,a novel mixed-flux model for gas hydrate accumulation isestablished and then used to simulate the process of methane gas migration into the shallow stratum toform a hydrate reservoir.The effects of reservoir heterogeneity and gas source conditions on the distribution of pore fluid and hydrate accumulation are examined.The simulation results show thatreservoir heterogeneity is conducive to the retention and lateral migration of CH4 in a hydrate stabilityzone.CH4 can contact more pore water to form a large hydrate reserve,but the formed hydrate is oftendispersed.Low-permeability layers enhance the trapping of CH4 and form a uniform and large hydratesaturation.Besides,gas source conditions have an important impact on the hydrate accumulation inreservoirs.Large gas flux,small pore water flux,continuous gas supply,high content of heavy components in natural gas,and numerous gas source points contribute to large amounts of hydrates generationin a certain time period.The presented work will deepen our understanding of the controls of natural gashydrate systems in subea shallow formations.
