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Lattice Boltzmann study of the double-diffusive convection in porous media with Soret and Dufour effects 具有Soret和Dufour效应的多孔介质中双扩散对流的晶格玻尔兹曼研究
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-09-07 DOI: 10.1007/s10596-023-10251-0
Xuguang Yang, Yuze Zhang
{"title":"Lattice Boltzmann study of the double-diffusive convection in porous media with Soret and Dufour effects","authors":"Xuguang Yang, Yuze Zhang","doi":"10.1007/s10596-023-10251-0","DOIUrl":"https://doi.org/10.1007/s10596-023-10251-0","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44586865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bayesian model evaluation for multiple scenarios 多场景贝叶斯模型评价
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-08-29 DOI: 10.1007/s10596-023-10241-2
S. Aanonsen, K. Fossum, T. Mannseth
{"title":"Bayesian model evaluation for multiple scenarios","authors":"S. Aanonsen, K. Fossum, T. Mannseth","doi":"10.1007/s10596-023-10241-2","DOIUrl":"https://doi.org/10.1007/s10596-023-10241-2","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47674693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A new formulation of the surface charge/surface potential relationship in electrolytes with valence less than three 三价以下电解质表面电荷/表面电势关系的新公式
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-08-29 DOI: 10.1007/s10596-023-10239-w
O. Nødland, A. Hiorth
{"title":"A new formulation of the surface charge/surface potential relationship in electrolytes with valence less than three","authors":"O. Nødland, A. Hiorth","doi":"10.1007/s10596-023-10239-w","DOIUrl":"https://doi.org/10.1007/s10596-023-10239-w","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49544868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep learning discovery of macroscopic governing equations for viscous gravity currents from microscopic simulation data 从微观模拟数据中深度学习发现粘性重力流的宏观控制方程
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-08-28 DOI: 10.1007/s10596-023-10244-z
Junsheng Zeng, Hao Xu, Yuntian Chen, Dong-juan Zhang
{"title":"Deep learning discovery of macroscopic governing equations for viscous gravity currents from microscopic simulation data","authors":"Junsheng Zeng, Hao Xu, Yuntian Chen, Dong-juan Zhang","doi":"10.1007/s10596-023-10244-z","DOIUrl":"https://doi.org/10.1007/s10596-023-10244-z","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48607720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Marginalized iterative ensemble smoothers for data assimilation 用于数据同化的边缘化迭代集成平滑器
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-08-26 DOI: 10.1007/s10596-023-10242-1
A. Stordal, R. Lorentzen, K. Fossum
{"title":"Marginalized iterative ensemble smoothers for data assimilation","authors":"A. Stordal, R. Lorentzen, K. Fossum","doi":"10.1007/s10596-023-10242-1","DOIUrl":"https://doi.org/10.1007/s10596-023-10242-1","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44854229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A reduced-order model based on C-R mixed finite element and POD technique for coupled Stokes-Darcy system with solute transport 基于C-R混合有限元和POD技术的溶质输运耦合Stokes-Darcy系统降阶模型
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-08-22 DOI: 10.1007/s10596-023-10245-y
Junpeng Song, H. Rui, Zhijiang Kang
{"title":"A reduced-order model based on C-R mixed finite element and POD technique for coupled Stokes-Darcy system with solute transport","authors":"Junpeng Song, H. Rui, Zhijiang Kang","doi":"10.1007/s10596-023-10245-y","DOIUrl":"https://doi.org/10.1007/s10596-023-10245-y","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45203590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Data-driven modelling with coarse-grid network models 粗网格网络模型的数据驱动建模
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-08-04 DOI: 10.1007/s10596-023-10237-y
Knut-Andreas Lie, S. Krogstad
{"title":"Data-driven modelling with coarse-grid network models","authors":"Knut-Andreas Lie, S. Krogstad","doi":"10.1007/s10596-023-10237-y","DOIUrl":"https://doi.org/10.1007/s10596-023-10237-y","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48519962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network 基于深度学习的基于理论引导的卷积神经网络地质模型升级方法
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-08-02 DOI: 10.1007/s10596-023-10233-2
Nanzhe Wang, Q. Liao, Haibin Chang, Dongxiao Zhang
{"title":"Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network","authors":"Nanzhe Wang, Q. Liao, Haibin Chang, Dongxiao Zhang","doi":"10.1007/s10596-023-10233-2","DOIUrl":"https://doi.org/10.1007/s10596-023-10233-2","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45048143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A new computational model for karst conduit flow in carbonate reservoirs including dissolution-collapse breccias 含溶蚀角砾岩的碳酸盐岩储层岩溶管道流动新计算模型
IF 2.5 3区 地球科学
Computational Geosciences Pub Date : 2023-07-31 DOI: 10.1007/s10596-023-10229-y
I. Landim, M. Murad, Patricia A. Pereira, E. Abreu
{"title":"A new computational model for karst conduit flow in carbonate reservoirs including dissolution-collapse breccias","authors":"I. Landim, M. Murad, Patricia A. Pereira, E. Abreu","doi":"10.1007/s10596-023-10229-y","DOIUrl":"https://doi.org/10.1007/s10596-023-10229-y","url":null,"abstract":"","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":"1 1","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52164202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements 基于混合有限元的多孔介质两相流块约束压力残余预处理
3区 地球科学
Computational Geosciences Pub Date : 2023-07-28 DOI: 10.1007/s10596-023-10238-x
Stefano Nardean, Massimiliano Ferronato, Ahmad Abushaikha
{"title":"Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements","authors":"Stefano Nardean, Massimiliano Ferronato, Ahmad Abushaikha","doi":"10.1007/s10596-023-10238-x","DOIUrl":"https://doi.org/10.1007/s10596-023-10238-x","url":null,"abstract":"Abstract This work proposes an original preconditioner that couples the Constrained Pressure Residual (CPR) method with block preconditioning for the efficient solution of the linearized systems of equations arising from fully implicit multiphase flow models. This preconditioner, denoted as Block CPR (BCPR), is specifically designed for Lagrange multipliers-based flow models, such as those generated by Mixed Hybrid Finite Element (MHFE) approximations. An original MHFE-based formulation of the two-phase flow model is taken as a reference for the development of the BCPR preconditioner, in which the set of system unknowns comprises both element and face pressures, in addition to the cell saturations, resulting in a $$3times 3$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mn>3</mml:mn> <mml:mo>×</mml:mo> <mml:mn>3</mml:mn> </mml:mrow> </mml:math> block-structured Jacobian matrix with a $$2times 2$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mn>2</mml:mn> <mml:mo>×</mml:mo> <mml:mn>2</mml:mn> </mml:mrow> </mml:math> inner pressure problem. The CPR method is one of the most established techniques for reservoir simulations, but most research focused on solutions for Two-Point Flux Approximation (TPFA)-based discretizations that do not readily extend to our problem formulation. Therefore, we designed a dedicated two-stage strategy, inspired by the CPR algorithm, where a block preconditioner is used for the pressure part with the aim at exploiting the inner $$2times 2$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mn>2</mml:mn> <mml:mo>×</mml:mo> <mml:mn>2</mml:mn> </mml:mrow> </mml:math> structure. The proposed preconditioning framework is tested by an extensive experimentation, comprising both synthetic and realistic applications in Cartesian and non-Cartesian domains.","PeriodicalId":10662,"journal":{"name":"Computational Geosciences","volume":"594 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135557008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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