The relationships between the velocities,attenuations and petrophysical properties of reservoir sedimentary rocks1

We have measured the velocities and attenuations of compressional and shear waves in 29 water-saturated samples of sandstones and shales at a confining pressure of 60 MPa and at frequencies of about 0.85 MHz. The measurements were made using a pulse echo method in which the samples (diameter 5 cm, length 1.5 cm to 2.5 cm) were placed between perspex buffer rods inside a high-pressure cell. The velocity of each seismic wave was determined from the traveltime difference of equivalent phase points (corrected for diffraction effects) of the signals reflected from the top and from the base of each sample. Attenuation was determined in a similar way by comparison of the diffraction corrected amplitudes of the signals. The attenuation data are presented as ‘quality factors’: Q_p and Q_s for compressional and shear waves respectively. The results show that Q_s is strongly correlated with V_s, that Q_p is weakly correlated with V_p, and that Q_p is strongly correlated with Q_s. Q_p is strongly dependent on the volume percentage of the assemblage of intra-pore minerals, whether they are clays or carbonates. It is concluded that the attenuation mechanism is due to the local fluid flow arising from the differential dilation of the solid rock frame and the intra-pore mineral assemblage, which is a result of their very different elastic moduli.     

Kaersutite-peridotite inclusions and kindred megacrysts in basanitic lavas,Grand Canyon,Arizona

Essentially two types of ultramafic inclusions occur in the basanitic lavas and ejecta deposits of the northwestern Grand Canyon, Arizona. Abundant, olivine-rich nodules contain an emerald green, chrome-rich diopside and chrome-rich spinels. A much less common group of inclusions generally containing poikilitic kaersutite have more variable modal compositions, more variable but iron-rich and chrome-poor mineral compositions, and are characterized by the presence of a titaniferous clinopyroxene which appears black in hand specimen. The nature and petrologic significance of these black clinopyroxene-bearing inclusions, together with megacrysts of kaersutite and black clinopyroxene, are discussed in this paper.Petrographic aspects indicate an origin as cumulates of fractionating basaltic magma. Compositions of pyroxenes suggest high pressures of crystallization. The co-precipitation of orthopyroxene, clinopyroxene, olivine and Mg-spinel from what in all probability was under-saturated magma, together with the total absence of feldspar as a cumulate or intercumulate phase, is compatible with crystallization near 10 kb, on the basis of quite limited experimental data on anhydrous basaltic compositions. Pressures of this sort are attained at depths close to the mantle-crust boundary in the western Grand Canyon. By way of comparison, cumulate-textured inclusions from central Nevada containing rare orthopyroxene, widespread plagioclase, and more Fe-enriched clinopyroxenes, kaersutites, olivines and spinels are postulated to have crystallized at lower temperatures (or at a more advanced stage of fractionation) and possibly at lower pressures.Numerous occurrences, worldwide, of kaersutite-bearing inclusions, always in undersaturated host rocks, have recently been reported. Compositionally, the kaersutites are quite uniform, whether coexistent with pyropic garnet-clinopyroxene (Kakanui, New Zealand), with ortho-pyroxene-clinopyroxene-olivine-Mg spinel (Grand Canyon), or with plagioclase-clinopyroxene-olivine-magnetite. The last assemblage is found in shallow-seated igneous bodies of alkalic, mafic composition, as well as in inclusions within basaltic rocks. These occurrences imply the precipitation of kaersutite amphibole over a broad range of pressures, and as high as those prevailing in the upper mantle.     

Bar-top hollows: A new element in the architecture of sandy braided rivers

Discrete hollows in the bar tops of the South Saskatchewan River are described that form a newly-recognized morphological element of sandy braided rivers. These bar-top hollows, which are up to 1.7 m deep and may extend for 10–30 m down and across flow, have a circular to ovoid planform and are shown, through use of ground penetrating radar, to be filled by a series of distinct, often angle-of-repose, foresets. The hollows form by both erosion and bar-top deposition and may be generated by bar-tail accretion, cross-bar channel cutoff and subsequent fill or lateral accretion at the bar-head. Bar-top hollows occur in the upper part of the bar depositional sequence and may thus prove useful indicators for braid bar reconstruction in ancient sediments, and should not be confused with channel scour.     

A Model to Predict Surface Temperatures

A model to predict the surface temperature of a variety of surfaces is described. The model solves the surface energy balance equation iteratively, using only standard meteorological data. Since surface and soil temperature information is not required for initialisation, the model is portable and, in theory, could be used for any surface and location. It is shown that, in order to obtain the correct cooling rates for vegetation during the night, the direct influence of the ground flux must be removed from the energy balance equation for the layer of vegetation. A scheme that couples a vegetation canopy to the ground solely by radiation is described, giving satisfactory cooling rates when compared with observations. Observations from a field site at Cardington, near Bedford, UK, are used to test the accuracy of the model for road and grass surfaces. When compared against these data, the model predicts surface temperatures with a root mean square error of about 1 °C for the road and 2 °C for the grass. Data from other sources not only give similar results to the Cardington data, but also demonstrate that the model can reproduce the characteristics of wet and partially dry soils and also dry desert sand. A study of the sensitivity of the model to errors in the forcing data indicates that inaccuracies in the air temperature data lead to similar sized errors in the predicted surface temperatures. Fluctuations in the forcing data that are not resolved by the model will affect a grass surface much more than a road surface, due to the relatively small thermal inertia of the grass.