To ensure the airtightness of salt cavern oil storage in layered salt rock,this study investigates the porosity and permeability characteristics and seepage laws of the surrounding rock of the storage caverns under th...To ensure the airtightness of salt cavern oil storage in layered salt rock,this study investigates the porosity and permeability characteristics and seepage laws of the surrounding rock of the storage caverns under the erosion of crude oil and brine.Salt rock,interlayer,and cap rock samples from the Jintan salt cavern storage in Jiangsu,China,were used.The porosity and permeability changes of the samples were measured under different static water pressures,different erosion times,and different working conditions(crude oil erosion and brine erosion).Finally,based on the theory of single-phase liquid stable seepage,liquid seepage models for interlayer and cap rock were established.The results show that the porosity and permeability parameters of the surrounding rock are not affected by stress changes under different working conditions.The wetting of crude oil covers the pore structure inside the surrounding rock,enhancing its airtightness macroscopically and thus favoring the long-term airtightness of the salt cavern oil storage.In contrast,brine erosion destroys the pore structure inside the surrounding rock,severely deteriorating its airtightness macroscopically,which seriously affects the lifespan of the storage cavern and is detrimental to the long-term airtightness of the salt cavern oil storage.Based on the assumption of single-phase liquid stable seepage,the leakage of the storage cavern was calculated.The calcu-lations of gas and liquid leakage were corrected according to the airtightness standards of gas storage caverns and combined with existing simulation parameters,which to some extent proved the accuracy of the liquid seepage models for interlayer and cap rock.展开更多
This paper proposes a detection method based on an improved Mask Region-based Convolutional Neural Network(Mask R-CNN)model for crack recognition in shallow-buried compressed air energy storage(CAES)cavern linings,ena...This paper proposes a detection method based on an improved Mask Region-based Convolutional Neural Network(Mask R-CNN)model for crack recognition in shallow-buried compressed air energy storage(CAES)cavern linings,enabling a comprehensive safety assessment of gas storage caverns.Flexible concrete samples are prepared to simulate the crack characteristics of the sealing lining,providing data support for the recognition module.The Convolutional Block Attention Module is introduced into the ResNet-50 backbone to adaptively adjust feature map weights and enhance feature extraction.Additionally,the mask segmentation loss function is optimized by combining Binary Cross-Entropy loss and Dice loss to improve crack region recognition.Experimental results show that the improved Mask R-CNN model achieves a mean average precision of 89.3%,a 17.2%improvement over the original model,and an intersection over union of 88.41%.Compared to RCNN,Faster R-CNN,YOLOv5,and SSD,the improved model shows superior performance with higher average precision(AP)50:95,AP50,and AP75 values in crack recognition tasks.The proposed method effectively identifies cracks in the flexible concrete sealing lining of shallow-buried CAES caverns,contributing significantly to the prevention of gas storage leaks and providing a valuable approach for the comprehensive safety assessment of CAES gas storage caverns.展开更多
Enhancing cavern sealing is crucial for improving the efficiency of compressed air energy storage(CAES)in hard rock formations.This study introduced a novel approach using a nano-grade organosilicon polymer(NOSP)as a ...Enhancing cavern sealing is crucial for improving the efficiency of compressed air energy storage(CAES)in hard rock formations.This study introduced a novel approach using a nano-grade organosilicon polymer(NOSP)as a sealant,coupled with an air seepage evaluation model that incorporates Knudsen diffusion.Moreover,the initial coating application methods were outlined,and the advantages of using NOSP compared to other sealing materials,particularly regarding cost and construction techniques,were also examined and discussed.Experimental results indicated a significant reduction in permeability of rock specimens coated with a 7–10μm thick NOSP layer.Specifically,under a 0.5 MPa pulse pressure,the permeability decreased to less than 1 n D,and under a 4 MPa pulse pressure,it ranged between4.5×10^(-6)–5.5×10^(-6)m D,marking a 75%–80%decrease in granite permeability.The sealing efficacy of NOSP surpasses concrete and is comparable to rubber materials.The optimal viscosity for application lies between 95 and 105 KU,and the coating thickness should ideally range from 7 to 10μm,applied to substrates with less than 3%porosity.This study provides new insights into air transport and sealing mechanisms at the pore level,proposing NOSP as a cost-effective and simplified solution for CAES applications.展开更多
During the long-time operation of salt rock storage cavern,between its formations,damaged interfaces induced by discontinuous creep deformations between adjacent layers will possibly lead to serious gas leakage.In thi...During the long-time operation of salt rock storage cavern,between its formations,damaged interfaces induced by discontinuous creep deformations between adjacent layers will possibly lead to serious gas leakage.In this paper,damaged interfaces are considered as main potential leakage path:firstly in meso-level,gas flow rule along the interface is analyzed and the calculation of equivalent permeability is discussed.Then based on porous media seepage theory,gas leakage simulation model including salt rock,cavity interlayers and interface is built.With this strategy,it is possible to overcome the disadvantage of simulation burden with porous-fractured double medium.It also can provide the details of gas flowing along the damaged zones.Finally this proposal is applied to the salt cavern in Qianjian mines(East China).Under different operation pressures,gas distributions around two adjacent cavities are simulated;the evolvement of gas in the interlayers and salt rock is compared.From the results it is demonstrated that the domain of creep damage area has great influence on leakage range.And also the leakage in the interface will accelerate the development of leakage in salt rock.It is concluded that compared with observations,this new strategy provides closer answers.The simulation result proves its validity for the design and reasonable control of operating pressure and tightness evaluation of group bedded salt rock storage caverns.展开更多
Renewable energies including solar and wind are intermittent,causing difficulty in connection to conventional power grids due to instability of output duty.Compressed air energy storage(CAES)in underground caverns has...Renewable energies including solar and wind are intermittent,causing difficulty in connection to conventional power grids due to instability of output duty.Compressed air energy storage(CAES)in underground caverns has been considered a potential large-scale energy storage technology.In order to explore the gas injection char-acteristic of underground cavern,a detailed thermodynamic model of the system is established in the process modelling software gPROMS.The four subsystem models,i.e.the compressor,heat exchanger,underground cavern storage and expander,are connected with inlet-outlet equilibrium of flow rate/pressure/temperature to form an integrated CAES system model in gPROMS.The maximum air pressure and temperature in the cavern are focused to interrogate the critical condition of the cavern during the injection process.When analyzing the mass flow rate-pressure ratio relationship,it’s found that under specified operating conditions,an increase in mass flow rate can lead to a higher pressure ratio.Compression power demand also escalates significantly with increasing mass flow rates,underscoring the system’s energy-intensive nature.Additionally,the cooler outlet energy rate progressively decreases,becoming increasingly negative as the mass flow rate increases.These in-sights offer critical theoretical foundations for optimizing practical efficiency of CAES.展开更多
基金financial supports of the National Natural Science Foundation of China Youth Science Foundation Project(52204152,52204111,52204153)the Postdoctoral Innovation Talent Support Program(BX2020275)the Postdoctoral Science Foun-dation(2020M683521).
文摘To ensure the airtightness of salt cavern oil storage in layered salt rock,this study investigates the porosity and permeability characteristics and seepage laws of the surrounding rock of the storage caverns under the erosion of crude oil and brine.Salt rock,interlayer,and cap rock samples from the Jintan salt cavern storage in Jiangsu,China,were used.The porosity and permeability changes of the samples were measured under different static water pressures,different erosion times,and different working conditions(crude oil erosion and brine erosion).Finally,based on the theory of single-phase liquid stable seepage,liquid seepage models for interlayer and cap rock were established.The results show that the porosity and permeability parameters of the surrounding rock are not affected by stress changes under different working conditions.The wetting of crude oil covers the pore structure inside the surrounding rock,enhancing its airtightness macroscopically and thus favoring the long-term airtightness of the salt cavern oil storage.In contrast,brine erosion destroys the pore structure inside the surrounding rock,severely deteriorating its airtightness macroscopically,which seriously affects the lifespan of the storage cavern and is detrimental to the long-term airtightness of the salt cavern oil storage.Based on the assumption of single-phase liquid stable seepage,the leakage of the storage cavern was calculated.The calcu-lations of gas and liquid leakage were corrected according to the airtightness standards of gas storage caverns and combined with existing simulation parameters,which to some extent proved the accuracy of the liquid seepage models for interlayer and cap rock.
基金the financial supports of the National Natural Science Foundation of China Youth Science Foundation Project(52204152,52204111,52204153)the Postdoctoral Innovation Talent Support Program(BX2020275)the Postdoctoral Science Foundation(2020M683521).
文摘This paper proposes a detection method based on an improved Mask Region-based Convolutional Neural Network(Mask R-CNN)model for crack recognition in shallow-buried compressed air energy storage(CAES)cavern linings,enabling a comprehensive safety assessment of gas storage caverns.Flexible concrete samples are prepared to simulate the crack characteristics of the sealing lining,providing data support for the recognition module.The Convolutional Block Attention Module is introduced into the ResNet-50 backbone to adaptively adjust feature map weights and enhance feature extraction.Additionally,the mask segmentation loss function is optimized by combining Binary Cross-Entropy loss and Dice loss to improve crack region recognition.Experimental results show that the improved Mask R-CNN model achieves a mean average precision of 89.3%,a 17.2%improvement over the original model,and an intersection over union of 88.41%.Compared to RCNN,Faster R-CNN,YOLOv5,and SSD,the improved model shows superior performance with higher average precision(AP)50:95,AP50,and AP75 values in crack recognition tasks.The proposed method effectively identifies cracks in the flexible concrete sealing lining of shallow-buried CAES caverns,contributing significantly to the prevention of gas storage leaks and providing a valuable approach for the comprehensive safety assessment of CAES gas storage caverns.
基金supported by the National Natural Science Foundation of China(No.42272321)Hubei Provincial Key Research Projects(Nos.2022BAA093 and 2022BAD163)+1 种基金Major Scientific and Technological Special Project of Jiangxi Province(No.2023ACG01004)WSGRI Engineering&Surveying Incorporation Limited(No.6120230256)。
文摘Enhancing cavern sealing is crucial for improving the efficiency of compressed air energy storage(CAES)in hard rock formations.This study introduced a novel approach using a nano-grade organosilicon polymer(NOSP)as a sealant,coupled with an air seepage evaluation model that incorporates Knudsen diffusion.Moreover,the initial coating application methods were outlined,and the advantages of using NOSP compared to other sealing materials,particularly regarding cost and construction techniques,were also examined and discussed.Experimental results indicated a significant reduction in permeability of rock specimens coated with a 7–10μm thick NOSP layer.Specifically,under a 0.5 MPa pulse pressure,the permeability decreased to less than 1 n D,and under a 4 MPa pulse pressure,it ranged between4.5×10^(-6)–5.5×10^(-6)m D,marking a 75%–80%decrease in granite permeability.The sealing efficacy of NOSP surpasses concrete and is comparable to rubber materials.The optimal viscosity for application lies between 95 and 105 KU,and the coating thickness should ideally range from 7 to 10μm,applied to substrates with less than 3%porosity.This study provides new insights into air transport and sealing mechanisms at the pore level,proposing NOSP as a cost-effective and simplified solution for CAES applications.
基金We acknowledge the following funds to give financial supports.They are China National Program on National natural sciences foundation of China Grant no.51104108 and 41172284,Key Basic Research Project(973 Program)Grant no.2009CB724603.
文摘During the long-time operation of salt rock storage cavern,between its formations,damaged interfaces induced by discontinuous creep deformations between adjacent layers will possibly lead to serious gas leakage.In this paper,damaged interfaces are considered as main potential leakage path:firstly in meso-level,gas flow rule along the interface is analyzed and the calculation of equivalent permeability is discussed.Then based on porous media seepage theory,gas leakage simulation model including salt rock,cavity interlayers and interface is built.With this strategy,it is possible to overcome the disadvantage of simulation burden with porous-fractured double medium.It also can provide the details of gas flowing along the damaged zones.Finally this proposal is applied to the salt cavern in Qianjian mines(East China).Under different operation pressures,gas distributions around two adjacent cavities are simulated;the evolvement of gas in the interlayers and salt rock is compared.From the results it is demonstrated that the domain of creep damage area has great influence on leakage range.And also the leakage in the interface will accelerate the development of leakage in salt rock.It is concluded that compared with observations,this new strategy provides closer answers.The simulation result proves its validity for the design and reasonable control of operating pressure and tightness evaluation of group bedded salt rock storage caverns.
基金supported by National Natural Science Foundation of China Excellent Young Scientists Fund Program,Deep Earth Probe and Mineral Resources Exploration-National Science and Technology Major Project(grant No.2024ZD1004105)Shandong Excellent Young Scientists Fund Program(Overseas)(grant No.2022HWYQ-020)Shenzhen Science and Technology Program(grant No.JCYJ20220530141016036,GJHZ20240218113359001).
文摘Renewable energies including solar and wind are intermittent,causing difficulty in connection to conventional power grids due to instability of output duty.Compressed air energy storage(CAES)in underground caverns has been considered a potential large-scale energy storage technology.In order to explore the gas injection char-acteristic of underground cavern,a detailed thermodynamic model of the system is established in the process modelling software gPROMS.The four subsystem models,i.e.the compressor,heat exchanger,underground cavern storage and expander,are connected with inlet-outlet equilibrium of flow rate/pressure/temperature to form an integrated CAES system model in gPROMS.The maximum air pressure and temperature in the cavern are focused to interrogate the critical condition of the cavern during the injection process.When analyzing the mass flow rate-pressure ratio relationship,it’s found that under specified operating conditions,an increase in mass flow rate can lead to a higher pressure ratio.Compression power demand also escalates significantly with increasing mass flow rates,underscoring the system’s energy-intensive nature.Additionally,the cooler outlet energy rate progressively decreases,becoming increasingly negative as the mass flow rate increases.These in-sights offer critical theoretical foundations for optimizing practical efficiency of CAES.
