By Tom Gleeson, Steve Ingebritsen
Permeability is the first keep watch over on fluid movement within the Earth’s crust and is vital to a shockingly wide variety of geological methods, since it controls the advection of warmth and solutes and the new release of anomalous pore pressures. the sensible significance of permeability – and the opportunity of huge, dynamic adjustments in permeability – is highlighted by way of ongoing concerns linked to hydraulic fracturing for hydrocarbon construction (“fracking”), more advantageous geothermal structures, and geologic carbon sequestration. even if there are millions of learn papers on crustal permeability, this can be the 1st book-length treatment. This e-book bridges the historic dichotomy among the hydrogeologic standpoint of permeability as a static fabric estate and the point of view of alternative Earth scientists who've lengthy well-known permeability as a dynamic parameter that alterations according to tectonism, fluid creation, and geochemical reactions.
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Extra resources for Crustal permeability
Note that, due to the normalized log scale on the y-axis, the harmonic mean and arithmetic mean permeability cannot be shown as a single line. 6 Comparison between observed permeability of natural sediments and permeability calculated as the harmonic, geometric, and arithmetic mean of the sand and clay fractions (A–C) and calculated values of the power mean exponent (P) for each sediment sample (D). Calculated values of the power mean exponent (P) for each sediment sample. For the Roer Valley Graben data set, the calculated power mean exponent clusters around a value of 0 (D).
6 Comparison by location. (A) Data. (B) Trends. 2. 7 Comparison by structural domain. (A) Data for all clay samples. (B) Comparison restricted to Group 3 samples. 2. 8 Anisotropy as a function of porosity for the prism, reference, and slope structural domains. Prediction from uniaxial consolidation and grain rotation (Eq. 1) is shown for reference. 8 and θ0 = 45°. 9 Comparison of permeability–porosity relationships from field data and laboratory consolidation tests. (A) Prism structural domain.
The Figure also shows data on mixed clay types from Schloemer & Krooss (1997) and Neuzil (1994) that were not used to calibrate the porosity–permeability equations. 3 for calibrated parameter values. 4 Relation of permeability to (A) porosity, (B) clay content, and (C) mean grain size and (D) the relation between clay content and porosity for two data sets of natural sand–clay mixtures and one experimental data set that consists of a mixture of kaolinite and quartz sand with a uniform grain size.