Changhao Liu , Kiprian Berbatov , Majid Sedighi , Andrey P. Jivkov
{"title":"多孔介质中多维流体流动的组合微分形式:体积孔隙、裂缝和通道的统一框架","authors":"Changhao Liu , Kiprian Berbatov , Majid Sedighi , Andrey P. Jivkov","doi":"10.1016/j.advwatres.2025.105095","DOIUrl":null,"url":null,"abstract":"<div><div>We present a novel mathematical framework for modelling fluid flow in porous media that naturally accommodates the mixed-dimensional nature of real pore spaces. Unlike traditional pore network models that reduce complex geometries to one-dimensional flow between idealised pores, or computationally intensive direct numerical simulations, our approach uses cell complexes with combinatorial differential forms to represent flow through volumetric pores (3D), sheet-like voids and fractures (2D), and narrow channels (1D) simultaneously. The method maps experimentally measured pore space characteristics onto polyhedral tessellations where different void types are assigned to cells of appropriate dimensions. Flow equations are formulated using calculus with combinatorial differential forms, yielding exact conservation laws directly in matrix form. We validate the approach using X-ray computed tomography images of four different rocks: Bentheimer sandstone, Doddington sandstone, Estaillades carbonate, and Ketton carbonate. For each rock, we generate 30 statistically equivalent realisations to investigate fabric-property relationships. The method achieves substantial computational efficiency compared to direct numerical simulations while maintaining accuracy comparable to pore-scale CFD and lattice-Boltzmann methods. Beyond efficiency, the framework provides scientific insight by explicitly linking pore-space topology to macroscopic permeability, enabling systematic exploration of how connectivity and dimensional transitions in the pore network control flow. The framework’s structure-preserving formulation and ability to assign different material properties to features of different dimensions make it particularly suitable for studying evolving pore structures, multiphase flow, and coupled processes in heterogeneous porous media relevant to groundwater systems and subsurface hydrology.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105095"},"PeriodicalIF":4.2000,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Combinatorial differential forms for multi-dimensional fluid flow in porous media: A unified framework for volumetric pores, fractures, and channels\",\"authors\":\"Changhao Liu , Kiprian Berbatov , Majid Sedighi , Andrey P. Jivkov\",\"doi\":\"10.1016/j.advwatres.2025.105095\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We present a novel mathematical framework for modelling fluid flow in porous media that naturally accommodates the mixed-dimensional nature of real pore spaces. Unlike traditional pore network models that reduce complex geometries to one-dimensional flow between idealised pores, or computationally intensive direct numerical simulations, our approach uses cell complexes with combinatorial differential forms to represent flow through volumetric pores (3D), sheet-like voids and fractures (2D), and narrow channels (1D) simultaneously. The method maps experimentally measured pore space characteristics onto polyhedral tessellations where different void types are assigned to cells of appropriate dimensions. Flow equations are formulated using calculus with combinatorial differential forms, yielding exact conservation laws directly in matrix form. We validate the approach using X-ray computed tomography images of four different rocks: Bentheimer sandstone, Doddington sandstone, Estaillades carbonate, and Ketton carbonate. For each rock, we generate 30 statistically equivalent realisations to investigate fabric-property relationships. The method achieves substantial computational efficiency compared to direct numerical simulations while maintaining accuracy comparable to pore-scale CFD and lattice-Boltzmann methods. Beyond efficiency, the framework provides scientific insight by explicitly linking pore-space topology to macroscopic permeability, enabling systematic exploration of how connectivity and dimensional transitions in the pore network control flow. The framework’s structure-preserving formulation and ability to assign different material properties to features of different dimensions make it particularly suitable for studying evolving pore structures, multiphase flow, and coupled processes in heterogeneous porous media relevant to groundwater systems and subsurface hydrology.</div></div>\",\"PeriodicalId\":7614,\"journal\":{\"name\":\"Advances in Water Resources\",\"volume\":\"206 \",\"pages\":\"Article 105095\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Water Resources\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S030917082500209X\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"WATER RESOURCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Water Resources","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S030917082500209X","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"WATER RESOURCES","Score":null,"Total":0}
Combinatorial differential forms for multi-dimensional fluid flow in porous media: A unified framework for volumetric pores, fractures, and channels
We present a novel mathematical framework for modelling fluid flow in porous media that naturally accommodates the mixed-dimensional nature of real pore spaces. Unlike traditional pore network models that reduce complex geometries to one-dimensional flow between idealised pores, or computationally intensive direct numerical simulations, our approach uses cell complexes with combinatorial differential forms to represent flow through volumetric pores (3D), sheet-like voids and fractures (2D), and narrow channels (1D) simultaneously. The method maps experimentally measured pore space characteristics onto polyhedral tessellations where different void types are assigned to cells of appropriate dimensions. Flow equations are formulated using calculus with combinatorial differential forms, yielding exact conservation laws directly in matrix form. We validate the approach using X-ray computed tomography images of four different rocks: Bentheimer sandstone, Doddington sandstone, Estaillades carbonate, and Ketton carbonate. For each rock, we generate 30 statistically equivalent realisations to investigate fabric-property relationships. The method achieves substantial computational efficiency compared to direct numerical simulations while maintaining accuracy comparable to pore-scale CFD and lattice-Boltzmann methods. Beyond efficiency, the framework provides scientific insight by explicitly linking pore-space topology to macroscopic permeability, enabling systematic exploration of how connectivity and dimensional transitions in the pore network control flow. The framework’s structure-preserving formulation and ability to assign different material properties to features of different dimensions make it particularly suitable for studying evolving pore structures, multiphase flow, and coupled processes in heterogeneous porous media relevant to groundwater systems and subsurface hydrology.
期刊介绍:
Advances in Water Resources provides a forum for the presentation of fundamental scientific advances in the understanding of water resources systems. The scope of Advances in Water Resources includes any combination of theoretical, computational, and experimental approaches used to advance fundamental understanding of surface or subsurface water resources systems or the interaction of these systems with the atmosphere, geosphere, biosphere, and human societies. Manuscripts involving case studies that do not attempt to reach broader conclusions, research on engineering design, applied hydraulics, or water quality and treatment, as well as applications of existing knowledge that do not advance fundamental understanding of hydrological processes, are not appropriate for Advances in Water Resources.
Examples of appropriate topical areas that will be considered include the following:
• Surface and subsurface hydrology
• Hydrometeorology
• Environmental fluid dynamics
• Ecohydrology and ecohydrodynamics
• Multiphase transport phenomena in porous media
• Fluid flow and species transport and reaction processes