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Titlebook: Geological and Geostatistical Aquifer Characterization of Wajid Sandstone, Saudi Arabia; Osman Abdullatif,Mohammad Makkawi,Mohamed Yassin

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https://doi.org/10.1007/978-3-663-02952-6textural characteristics is quite apparent between the lower Dibsiyah member, deposited in a fluvial braided river environment, and the Upper Dibsiyah member, deposited in the shallow marine environment. The variations in porosity and permeability patterns may be attributed to the evolution of this
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https://doi.org/10.1007/978-3-642-49874-9he variable under consideration. On the one hand, the quantitative data, represented by semivariogram model parameters, may be considered the most critical input to generating the kriged estimates. Conversely, the qualitative information is essential in correlating the Semivariogram with site geolog
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https://doi.org/10.1007/978-3-642-92526-9crop and the vertical permeability model of the Khusayyayn outcrop. These show zonal anisotropy due to well-identified layering in the vertical direction. The geostatistical estimates (kriging) models showed variable porosity and permeability values. The Lower Dibsiyah model suggests that its subsur
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Geological and Geostatistical Aquifer Characterization of Wajid Sandstone, Saudi Arabia978-3-031-12191-3Series ISSN 2730-6674 Series E-ISSN 2730-6682
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Technische Physik in Einzeldarstellungenhe Lower Dibsiyah is dominated mainly by sandstone facies including horizontally stratified sandstone, small and medium scale trough cross-stratified sandstone, medium and large-scale planner cross-stratified sandstone, massive sandstone, and pebbly to conglomeratic trough cross-stratified sandstone
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https://doi.org/10.1007/978-3-663-02952-6 thin section petrography, and SEM studies investigations. The petrographic thin section analysis of the Wajid sandstone revealed that most samples were classified as quartz arenite and subarkose. These sandstones vary in grain size, sorting, roundness, matrix, cement content, porosity, and permeabi
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https://doi.org/10.1007/978-3-642-49874-9nivariate statistics is a valuable tool during the exploratory data analysis stage for quality control and can provide invaluable information about the statistical distribution of the variable under study. Therefore, preliminary statistics allow calculating estimators from the sample data set corres
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