The Yuncheng Basin,located in the southern part of the Fenwei Rift,North China,exhibits obvious crust thinning(Moho uplift of 6-8 km)and shallow Curie point depth(less than 18 km)and hence holds great potential for ge...The Yuncheng Basin,located in the southern part of the Fenwei Rift,North China,exhibits obvious crust thinning(Moho uplift of 6-8 km)and shallow Curie point depth(less than 18 km)and hence holds great potential for geothermal resources.However,geothermal exploration within the Yuncheng Basin typically faces significant challenges due to civil and industrial noise from dense populations and industrial activities.To address these challenges,both Controlled-Source Audio-frequency Magnetotellurics(CSAMT)and radon measurements were employed in Baozigou village to investigate the geothermal structures and identify potential geothermal targets.The CSAMT method effectively delineated the structure of the subsurface hydrothermal system,identifying the reservoir as Paleogene sandstones and Ordovician and Cambrian limestones at elevations ranging from−800 m to−2500 m.In particular,two concealed normal faults(F_(a)and F_(b))were newly revealed by the combination of CSAMT and radon profiling;these previously undetected faults,which exhibit different scales and opposing dips,are likely to be responsible for controlling the convection of thermal water within the Basin’s subsurface hydrothermal system.Moreover,this study developed a preliminary conceptual geothermal model for the Fen River Depression within the Yuncheng Basin,which encompasses geothermal heat sources,cap rocks,reservoirs,and fluid pathways,providing valuable insights for future geothermal exploration.In conjunction with the 3D geological model constructed from CSAMT resistivity structures beneath Baozigou village,test drilling is recommended in the northwestern region of the Baozigou area to intersect the potentially deep fractured carbonates that may contain temperature-elevated geothermal water.This study establishes a good set of guidelines for future geothermal exploration in this region,indicating that high-permeability faults in the central segments of the Fen River Depression are promising targets.展开更多
Radon变换反演分辨率是其在地震资料处理中应用的关键因素.常规高分辨率Radon变换反演模型采用L_(1)范数实现稀疏正则化,其以Radon系数振幅总体大小衡量稀疏性,未能充分考虑到Radon系数振幅相对强弱,以此构建的反演方法旨在通过衰减弱...Radon变换反演分辨率是其在地震资料处理中应用的关键因素.常规高分辨率Radon变换反演模型采用L_(1)范数实现稀疏正则化,其以Radon系数振幅总体大小衡量稀疏性,未能充分考虑到Radon系数振幅相对强弱,以此构建的反演方法旨在通过衰减弱振幅来提高稀疏性,对Radon系数分辨率提高效果有限.本文提出一种以信号振幅相对大小衡量Radon系数稀疏性的尺度不变稀疏度量(Scale-Invariant Sparsity Measure,SSM)函数,并以L_(1)/L_(2)范数作为其光滑近似.针对L_(1)/L_(2)正则化的非线性,改进交替方向乘子法(Alternating Direction Method of Multipliers,ADMM)对其求解.合成数据与实际地震资料处理结果表明,该方法能够增强一次波与多次波在Radon域的分辨率,降低Radon变换的能量扩散,提高多次波压制效果;同时该方法能够较好地压制随机噪声,方法具有一定的稳健性.展开更多
The radon control mechanism of Na_(2)O·nSiO_(2)−CaCl_(2)modified soil was studied through the laboratory simulation experiment of tailing covering radon control.The radon exhalation rate(J)is negatively correlate...The radon control mechanism of Na_(2)O·nSiO_(2)−CaCl_(2)modified soil was studied through the laboratory simulation experiment of tailing covering radon control.The radon exhalation rate(J)is negatively correlated with the coverage thickness(H),and it has a non-linear relationship with the temperature.The moisture content variation rate of the covering soil significantly decreases,which helps to reduce soil damage and enhance the resistance of the covering soil to ambient temperature interference.The formation of silicic gel and C−S−H gel effectively optimizes the pore structure and permeability,reduces the diffusion and migration of radon gas in the covering soil,and the average radon exhalation rate is decreased by 1.01×10^(−2)Bq/(m^(3)·s).The research results show that the Na_(2)O·nSiO_(2)−CaCl_(2)modified covering soil can effectively improve the radon control performance of the covering soil and reduce the cost of cover treatment.展开更多
Seismic wavefields propagate through three-dimensional(3D)space,and their precise characterization is crucial for understanding subsurface structures.Traditional 2D algorithms,due to their limitations,are insufficient...Seismic wavefields propagate through three-dimensional(3D)space,and their precise characterization is crucial for understanding subsurface structures.Traditional 2D algorithms,due to their limitations,are insufficient to fully represent three-dimensional wavefields.The classic 3D Radon transform algorithm assumes that the wavefield's propagation characteristics are consistent in all directions,which often does not hold true in complex underground media.To address this issue,we present an improved 3D three-parameter Radon algorithm that considers the wavefield variation with azimuth and provides a more accurate wavefield description.However,introducing new parameters to describe the azimuthal varia-tion also poses computational challenges.The new Radon transform operator involves five variables and cannot be simply decomposed into small matrices for efficient computation;instead,it requires large matrix multiplication and inversion operations,significantly increasing the computational load.To overcome this challenge,we have integrated the curvature and frequency parameters,simplifying all frequency operators to the same,thereby significantly improving computation efficiency.Furthermore,existing transform algorithms neglect the lateral variation of seismic amplitudes,leading to discrepancies between the estimated multiples and those in the data.To enhance the amplitude preservation of the algorithm,we employ orthogonal polynomial fitting to capture the amplitude spatial variation in 3D seismic data.Combining these improvements,we propose a fast,amplitude-preserving,3D three-parameter Radon transform algorithm.This algorithm not only enhances computational efficiency while maintaining the original wavefield characteristics,but also improves the representation of seismic data by increasing amplitude fidelity.We validated the algorithm in multiple attenuation using both synthetic and real seismic data.The results demonstrate that the new algorithm significantly improves both accuracy and computational efficiency,providing an effective tool for analyzing seismic wavefields in complex subsurface structures.展开更多
This study systematically investigates the concentration of ^(222)Rn in geothermal fluids and the distribution of geothermal radon mineral water in Shandong Province,with the aim of elucidating formation mechanisms an...This study systematically investigates the concentration of ^(222)Rn in geothermal fluids and the distribution of geothermal radon mineral water in Shandong Province,with the aim of elucidating formation mechanisms and influencing factors.The findings indicate that the overall abundance of ^(222)Rn in geothermal fluids across the region is relatively low.Geothermal radon mineral water is primarily located within banded thermal reservoirs associated with bedrock fracture structures in the Ludong and Luxi uplift geothermal zones.The study reveals that the ionic composition,radioactivity intensity,and extent of water-rock interactions exert only effects in the concentration of ^(222)Rn in geothermal fluids.The formation of geothermal radon mineral water is predominantly governed by“fracture-controlled”mechanisms,with thermal reservoir lithology,fracture tectonics,and seismic activity serving as key determinants.Additionally,the enrichment of ^(222)Rn in geothermal fluids is influenced by factors such as geothermal fluid temperature,depth of occurrence,cap rock thickness,and alteration processes.The genetic mechanisms of geothermal radon mineral water can be categorized into two types:„native‟and„composite‟.These findings provide critical insights into the exploration and development of geothermal radon mineral water resources in Shandong and similar regions.展开更多
基金supported by the Shanxi Province Basic Research Program(No.20210302123374)Yuncheng University Doctoral Research Initiation Fund(No.YQ-2021008)+3 种基金Excellent doctors come to Shanxi to reward scientific research projects(No.QZX-2023020)Open Fund of State Key Laboratory of Precision Geodesy(No.SKLPG2025-1-1)Joint Open Fund of the Research Platforms of School of Computer Science,China University of Geosciences,Wuhan(No.PTLH2024-B-03)Hubei Provincial Natural Science Foundation Project(No.2025AFC095).
文摘The Yuncheng Basin,located in the southern part of the Fenwei Rift,North China,exhibits obvious crust thinning(Moho uplift of 6-8 km)and shallow Curie point depth(less than 18 km)and hence holds great potential for geothermal resources.However,geothermal exploration within the Yuncheng Basin typically faces significant challenges due to civil and industrial noise from dense populations and industrial activities.To address these challenges,both Controlled-Source Audio-frequency Magnetotellurics(CSAMT)and radon measurements were employed in Baozigou village to investigate the geothermal structures and identify potential geothermal targets.The CSAMT method effectively delineated the structure of the subsurface hydrothermal system,identifying the reservoir as Paleogene sandstones and Ordovician and Cambrian limestones at elevations ranging from−800 m to−2500 m.In particular,two concealed normal faults(F_(a)and F_(b))were newly revealed by the combination of CSAMT and radon profiling;these previously undetected faults,which exhibit different scales and opposing dips,are likely to be responsible for controlling the convection of thermal water within the Basin’s subsurface hydrothermal system.Moreover,this study developed a preliminary conceptual geothermal model for the Fen River Depression within the Yuncheng Basin,which encompasses geothermal heat sources,cap rocks,reservoirs,and fluid pathways,providing valuable insights for future geothermal exploration.In conjunction with the 3D geological model constructed from CSAMT resistivity structures beneath Baozigou village,test drilling is recommended in the northwestern region of the Baozigou area to intersect the potentially deep fractured carbonates that may contain temperature-elevated geothermal water.This study establishes a good set of guidelines for future geothermal exploration in this region,indicating that high-permeability faults in the central segments of the Fen River Depression are promising targets.
文摘Radon变换反演分辨率是其在地震资料处理中应用的关键因素.常规高分辨率Radon变换反演模型采用L_(1)范数实现稀疏正则化,其以Radon系数振幅总体大小衡量稀疏性,未能充分考虑到Radon系数振幅相对强弱,以此构建的反演方法旨在通过衰减弱振幅来提高稀疏性,对Radon系数分辨率提高效果有限.本文提出一种以信号振幅相对大小衡量Radon系数稀疏性的尺度不变稀疏度量(Scale-Invariant Sparsity Measure,SSM)函数,并以L_(1)/L_(2)范数作为其光滑近似.针对L_(1)/L_(2)正则化的非线性,改进交替方向乘子法(Alternating Direction Method of Multipliers,ADMM)对其求解.合成数据与实际地震资料处理结果表明,该方法能够增强一次波与多次波在Radon域的分辨率,降低Radon变换的能量扩散,提高多次波压制效果;同时该方法能够较好地压制随机噪声,方法具有一定的稳健性.
基金supported by the National Natural Science Foundation of China(No.51174116)the National Key Research and Development Program of China(No.2023YFC3010903)the Scientific Research Project of Education Department of Hunan Province,China(No.24A0319).
文摘The radon control mechanism of Na_(2)O·nSiO_(2)−CaCl_(2)modified soil was studied through the laboratory simulation experiment of tailing covering radon control.The radon exhalation rate(J)is negatively correlated with the coverage thickness(H),and it has a non-linear relationship with the temperature.The moisture content variation rate of the covering soil significantly decreases,which helps to reduce soil damage and enhance the resistance of the covering soil to ambient temperature interference.The formation of silicic gel and C−S−H gel effectively optimizes the pore structure and permeability,reduces the diffusion and migration of radon gas in the covering soil,and the average radon exhalation rate is decreased by 1.01×10^(−2)Bq/(m^(3)·s).The research results show that the Na_(2)O·nSiO_(2)−CaCl_(2)modified covering soil can effectively improve the radon control performance of the covering soil and reduce the cost of cover treatment.
基金supported in part by National Natural Science Foundation of China(NSFC)under grant 42274139in part by the R&D Department of China National Petroleum Corporation(Investigations on fundamental experiments and advanced theoretical methods in geophysical prospecting applications,2022DQ0604-03).
文摘Seismic wavefields propagate through three-dimensional(3D)space,and their precise characterization is crucial for understanding subsurface structures.Traditional 2D algorithms,due to their limitations,are insufficient to fully represent three-dimensional wavefields.The classic 3D Radon transform algorithm assumes that the wavefield's propagation characteristics are consistent in all directions,which often does not hold true in complex underground media.To address this issue,we present an improved 3D three-parameter Radon algorithm that considers the wavefield variation with azimuth and provides a more accurate wavefield description.However,introducing new parameters to describe the azimuthal varia-tion also poses computational challenges.The new Radon transform operator involves five variables and cannot be simply decomposed into small matrices for efficient computation;instead,it requires large matrix multiplication and inversion operations,significantly increasing the computational load.To overcome this challenge,we have integrated the curvature and frequency parameters,simplifying all frequency operators to the same,thereby significantly improving computation efficiency.Furthermore,existing transform algorithms neglect the lateral variation of seismic amplitudes,leading to discrepancies between the estimated multiples and those in the data.To enhance the amplitude preservation of the algorithm,we employ orthogonal polynomial fitting to capture the amplitude spatial variation in 3D seismic data.Combining these improvements,we propose a fast,amplitude-preserving,3D three-parameter Radon transform algorithm.This algorithm not only enhances computational efficiency while maintaining the original wavefield characteristics,but also improves the representation of seismic data by increasing amplitude fidelity.We validated the algorithm in multiple attenuation using both synthetic and real seismic data.The results demonstrate that the new algorithm significantly improves both accuracy and computational efficiency,providing an effective tool for analyzing seismic wavefields in complex subsurface structures.
基金supported by the Geological Exploration Leading Demonstration and Science and Technology Research Project of Shandong Provincial Bureau of Geology and Mineral Resources Exploration and Development in 2022(No.KY202203).
文摘This study systematically investigates the concentration of ^(222)Rn in geothermal fluids and the distribution of geothermal radon mineral water in Shandong Province,with the aim of elucidating formation mechanisms and influencing factors.The findings indicate that the overall abundance of ^(222)Rn in geothermal fluids across the region is relatively low.Geothermal radon mineral water is primarily located within banded thermal reservoirs associated with bedrock fracture structures in the Ludong and Luxi uplift geothermal zones.The study reveals that the ionic composition,radioactivity intensity,and extent of water-rock interactions exert only effects in the concentration of ^(222)Rn in geothermal fluids.The formation of geothermal radon mineral water is predominantly governed by“fracture-controlled”mechanisms,with thermal reservoir lithology,fracture tectonics,and seismic activity serving as key determinants.Additionally,the enrichment of ^(222)Rn in geothermal fluids is influenced by factors such as geothermal fluid temperature,depth of occurrence,cap rock thickness,and alteration processes.The genetic mechanisms of geothermal radon mineral water can be categorized into two types:„native‟and„composite‟.These findings provide critical insights into the exploration and development of geothermal radon mineral water resources in Shandong and similar regions.
