How well can we predict permeability in sedimentary basins? Deriving and evaluating porosity–permeability equations for noncemented sand and clay mixtures. Issue 1 (1st October 2014)

• Record Type: Journal Article
• Authors: Luijendijk, E.; Gleeson, T.
• Is Part Of: Geofluids. Volume 15:Issue 1/2(2015)
• Page Start: 67
• Page End: 83
• Publication Date: 2014-10-01
• Subjects: permeability -- sediments; Hydrogeology -- Periodicals; Sedimentary basins -- Periodicals; Fluids -- Migration -- Periodicals; Groundwater flow -- Periodicals; Geothermal resources -- Periodicals; Fluid dynamics -- Periodicals; Earth -- Crust -- Periodicals; 551.49
• DOI: 10.1111/gfl.12115
• Languages: English
• ISSNs: 1468-8115

Abstract

Abstract: The permeability of sediments is a major control on groundwater flow and the associated redistribution of heat and solutes in sedimentary basins. While porosity–permeability relationships of pure clays and pure sands have been relatively well established at the laboratory scale, the permeability of natural sediments remains highly uncertain. Here we quantify how well existing and new porosity–permeability equations can explain the permeability of noncemented siliciclastic sediments. We have compiled grain size, clay mineralogy, porosity, and permeability data on pure sand and silt ( n = 126), pure clay ( n = 148), and natural mixtures of sand, silt and clay ( n = 92). The permeability of pure sand and clay can be predicted with high confidence (R 2 ≥ 0.9) using the Kozeny–Carman equation and empirical power law equations, respectively. The permeability of natural sediments is much higher than predicted by experimental binary mixtures and ideal packing models. Permeability can be predicted with moderate confidence (R 2 = 0.26– 0.48) and a mean error of 0.6 orders of magnitude as either the geometric mean or arithmetic mean of the permeability of the pure clay and sand components, with the geometric mean providing the best measure of the variability of permeability. We test the new set of equations on detailed well‐log and permeability data from deltaic sediments in the southern Netherlands, showing that permeability can be predicted with a mean error of 0.7 orders of magnitude using clay content and porosity derived from neutron and density logs. Abstract : We quantify how well existing and new equations predict permeability using a compilation of permeability data of pure sands, clays, and mixed siliciclastic sediments. Equations that calculate permeability as the power mean of the pure clay and sand components provided much better estimates of sediment permeability than ideal packing models. Combining the power mean equation with well‐log data to estimate porosity, clay content, and permeability provides opportunities to characterize sediment permeability at larger scales.