Recent advances in the application of porosity and permeability in porous media

Porosity and permeability, as pivotal parameters governing transport properties in porous media, hold significant scientific value for resource development, environmental engineering, and geotechnical safety. This study systematically investigates global research trends through bibliometric analysis of 4048 publications (2010–2024) indexed in the Web of Science Core Collection. Utilizing CiteSpace, co-occurrence networks of authors, institutions, and keywords were constructed to elucidate topic shifts and research frontiers. Key findings include: (1) The discipline has evolved from experimental measurements (2010–2015) to digital modeling, with machine learning (ML) and digital rock physics dominating post-2020 research; (2) a transnational collaboration network centered on the Center National de la Recherche Scientifique and the United States Department of Energy has emerged, yet exhibits low cohesion (collaboration density: 0.0064) and limited interdisciplinary integration; (3) research focus has transitioned from fundamental theoretical frameworks to microstructural analysis, followed by digital and intelligent methodologies over the past 15 years; (4) advancements in high-resolution digital imaging and optimized ML algorithms now enable efficient, precise characterization of microstructural and physical properties, driving innovations in petroleum geology, subsurface engineering, and environmental sciences.