February 02, 2026 article Open access Porosity and permeability prediction from petrographic point-counting data using machine learning: Applications to Rotliegendes and Buntsandstein reservoirs Energy Geoscience DOI: 10.1016/j.engeos.2026.100537 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 2 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets 2022 Computers & Geosciences article Computer Science Advanced Neural Network Applications Open access 30 citations 1 result