The service load on high temperature rotating components of aero-engines generally exhibits flight mission characteristics. The general shape of the load spectrum is that Type Ⅲ/Ⅳ cyclic loading and creep loading ar...The service load on high temperature rotating components of aero-engines generally exhibits flight mission characteristics. The general shape of the load spectrum is that Type Ⅲ/Ⅳ cyclic loading and creep loading are superimposed on Type Ⅰ cyclic loading. Meanwhile, the sequence of the Type Ⅲ/Ⅳ cyclic and creep loading varies with mission. This work performed load spectrum test with this characteristic on the Ni-based alloy FGH96. Then a life prediction method was developed based on the Chaboche fatigue damage accumulation model and a modified time fraction model. Creep followed by Fatigue (C-F) test was carried out to reveal the creep-fatigue interaction and calibrate parameters. The results show that most test results fall within the 2-fold deviation band. The sequence of creep-fatigue loading within the load spectrum exhibited a limited effect on life. Finally, simplified methods were developed to improve analysis efficiency, and cases where simplified methods could replace the proposed method were discussed.展开更多
Characterizing natural fractures has a decisive effect on production forecasts in fractured oil and gas reservoirs.Discrete Fracture Networks(DFN)constitutes the main modeling framework for fractured geosystems.Howeve...Characterizing natural fractures has a decisive effect on production forecasts in fractured oil and gas reservoirs.Discrete Fracture Networks(DFN)constitutes the main modeling framework for fractured geosystems.However,myriads of uncertainties are enclosed prior modeling representative stochastic or deterministic DFN ensembles.This paper presents a novel methodology for DFN calibration and an efficacious field application,which incorporatesWell-testing interpretation,Embedded Discrete Fracture Model(EDFM)framework,and numerical reservoir simulation.The proposed workflow starts with the DFN generation from seismic data,imaging logging data and core data.After multiple DFNs are modeled,well-test analysis is employed to calibrate the intrinsic properties of fractures at different locations.Then,these fracture networks are characterized dynamically by EDFM,which promotes capturing the optimal fracture model quickly screened.Finally,pressure and production history match are reached for the DFN realization that honors the optimal fracture model.展开更多
基金supported by the National Science and Technology Major Project of China(No.J2019-IV-0017-0085)the National Natural Science Foundation of China(Nos.12172021,52205177)the Natural Science Foundation of Hunan Province,China(No.2021JJ40741).
文摘The service load on high temperature rotating components of aero-engines generally exhibits flight mission characteristics. The general shape of the load spectrum is that Type Ⅲ/Ⅳ cyclic loading and creep loading are superimposed on Type Ⅰ cyclic loading. Meanwhile, the sequence of the Type Ⅲ/Ⅳ cyclic and creep loading varies with mission. This work performed load spectrum test with this characteristic on the Ni-based alloy FGH96. Then a life prediction method was developed based on the Chaboche fatigue damage accumulation model and a modified time fraction model. Creep followed by Fatigue (C-F) test was carried out to reveal the creep-fatigue interaction and calibrate parameters. The results show that most test results fall within the 2-fold deviation band. The sequence of creep-fatigue loading within the load spectrum exhibited a limited effect on life. Finally, simplified methods were developed to improve analysis efficiency, and cases where simplified methods could replace the proposed method were discussed.
基金This researchwas funded by“CNPC Science and technology project:Fine evaluation and prediction technology for complex reservoirs in overseas natural gas reservoirs,grant number 2018D-4305”.
文摘Characterizing natural fractures has a decisive effect on production forecasts in fractured oil and gas reservoirs.Discrete Fracture Networks(DFN)constitutes the main modeling framework for fractured geosystems.However,myriads of uncertainties are enclosed prior modeling representative stochastic or deterministic DFN ensembles.This paper presents a novel methodology for DFN calibration and an efficacious field application,which incorporatesWell-testing interpretation,Embedded Discrete Fracture Model(EDFM)framework,and numerical reservoir simulation.The proposed workflow starts with the DFN generation from seismic data,imaging logging data and core data.After multiple DFNs are modeled,well-test analysis is employed to calibrate the intrinsic properties of fractures at different locations.Then,these fracture networks are characterized dynamically by EDFM,which promotes capturing the optimal fracture model quickly screened.Finally,pressure and production history match are reached for the DFN realization that honors the optimal fracture model.
