Short-term environmental variability in cold-water coral habitat at Viosca Knoll,Gulf of Mexico

The Lophelia pertusa community at Viosca Knoll (VK826) is the most extensive found to date in the Gulf of Mexico. As part of a multi-disciplinary study, the physical setting of this area was described using benthic landers, CTD transects and remotely operated vehicle observations. The site was broadly characterised into three main habitats: (1) dense coral cover that resembles biogenic reef complexes, (2) areas of sediment, and (3) authigenic carbonate blocks with sparse coral and chemosynthetic communities. The coral communities were dominated by L. pertusa but also contained numerous solitary coral species. Over areas that contained L. pertusa, the environmental conditions recorded were similar to those associated with communities in the north-eastern Atlantic, with temperature (8.5–10.6 °C) and salinity (～35) falling within the known species niche for L. pertusa. However, dissolved oxygen concentrations (2.7–2.8 ml l^?1) and density (σ_Θ, 27.1–27.2 kg m^?3) were lower and mass fluxes from sediment trap data appeared much higher (4002–4192 mg m^?2 d^?1). Yet, this species still appears to thrive in this region, suggesting that L. pertusa may not be as limited by lower dissolved oxygen concentrations as previously thought. The VK826 site experienced sustained eastward water flow of 10–30 cm s^?1 over the 5-day measurement period but was also subjected to significant short-term variability in current velocity and direction. In addition, two processes were observed that caused variability in salinity and temperature; the first was consistent with internal waves that caused temperature variations of 0.8 °C over 5–11 h periods. The second was high-frequency variability (20–30 min periods) in temperature recorded only at the ALBEX site. A further pattern observed over the coral habitat was the presence of a 24 h diel vertical migration of zooplankton that may form part of a food chain that eventually reaches the corals. The majority of detailed studies concerning local environmental conditions in L. pertusa habitats have been conducted within the north-eastern Atlantic, limiting most knowledge of the niche of this species to a single part of an ocean basin. Data presented here show that the corals at VK826 are subjected to similar conditions in temperature, salinity, and flow velocity as their counterparts in the north-east Atlantic, although values for dissolved oxygen and density (sigma-theta: σ_Θ) are different. Our data also highlight novel observations of short-term environmental variability in cold-water coral habitat.     

Evaluation of biotite-garnet geothermometers: application to the English River subprovince,Ontario

In recent years, there have been numerous calibrations of the biotite-garnet Fe-Mg exchange geothermometer. The Eastern Lac Seul region of the English River subprovince, Ontario, provides an excellent field area in which to compare these calibrations.Trend surface analysis using the temperatures obtained from garnet cores and matrix biotites-showed almost identical trends in the eastern Lac Seul region regardless of the calibration used. The absolute temperatures and the precision of each calibration do, however, show large variation. Geothermometers based solely on lnK_D were found to give more precise results than the calibrations that attempt to incorporate non-Fe-Mg components. The Perchuk and Lavrent'eva (1983) thermometer yields the most precise and accurate results. If a sufficient number of samples are collected over a region, it can be used to estimate metamorphic temperature trends to ±30° C. Metamorphism and migmatization of the English River subprovince occurred during the Kenoran orogeny, 2.68 b.y. ago. Our results show that a thermal anticline has been preserved, with temperatures of 600° C at the north and south contacts with Uchi and Wabigoon Greenstone belts, increasing to 725 °C at the center of the subprovince. A garnet-cordierite in isograd occurs at 650° C and an orthopyroxene in isogradat 700° C.     

The control of maturity and kerogen type on quantitative analytical pyrolysis data

Quantitative pyrolysis-gas chromatography has been performed on 96 kerogen samples isolated from 17 wells on the Norwegian Continental shelf. Petrographic and bulk geochemical measurements were also performed on the samples, and a combined data set of 117 variables for each sample was analysed using principal components analysis (PCA). This approach provides an objective and reproducible means of kerogen characterisation, which can be easily automated. In addition to objective kerogen characterisation and facile visualisation of facies and maturity related chemical trends, the method has the potential to allow objective prediction of key geochemical parameters such as maturity level from pyrogram data.     

Chemical models of vitrinite reflectance evolution

A global kinetic model of vitrinite reflectance evolution is developed to illustrate a new approach to vitrinite reflectance modelling. The method utilizes quantitative pyrolysisgas Chromatographic data from isolated vitrinite kerogens to derive the concentrations of structurally specific moieties (alkylphenol precursors) in vitrinite kerogens as a function of rank. This data set is used to calibrate a gaussian distributed activation energy model for phenol-precursor loss from vitrinites using published burial histories. Phenol yield is then correlated with vitrinite reflectance. The predictive vitrinite reflectance model based on this phenol system is tested against a well from the US Gulf Coast area, the results being compared with a Lopatin model of the same well. This type of vitrinite reflectance model is numerically compatible with current generation kinetic models of hydrocarbon production from source rock kerogens, and has a better heating rate independence than Lopatin's method.

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Zusammenfassung Um eine neue Annäherung an das Modellieren der Vitrinit-Reflexion zu demonstrieren, wurde ein global-kinetisches Modell der Entwicklung der Vitrinit-Reflexion erstellt. Die Methode verwendet Daten von quantitativer Pyrolyse-Gas Chromatographie isolierten Vitrinitkerogens, um die Konzentration von strukturspezifischen Moieten (Alkylophenol-Vorläufer) in Vitrinitkerogen als Funktion der Reihenfolge zu erhalten. Verwendet werden diese Daten, um ein nach Gauss verteiltes Aktivierungsenergiemodell zu kalibrieren, das mit Hilfe von veröffentlichten Ablagerungsgeschichten den Phenol-Vorläuferverlust von Vitriniten beschreibt. Die Phenol-Ausbeute wird dann mit der Vitrinit-Reflexion korreliert. Das auf dem Phenolsystem basierende Vitrinit-Reflexionsmodell wird in einem Test einem Bohrloch an der amerikanischen Golfküste gegenübergestellt. Die Ergebnisse werden mit dem Lopatinmodell des selben Bohrlochs verglichen. Diese Art eines Vitrinit-Reflexionsmodells ist numerisch wettbewerbsfähig mit der heutigen Generation kinetischer Modelle der Kohlenwasserstofferzeugung aus Trägergesteinskerogenen. Außerdem ist seine Unabhängigkeit von der Erhitzungsrate größer als mit der Lopatin-Methode.

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Résumé L'auteur présente un modèle cinétique global de l'évaluation du pouvoir réflecteur de la vitrinite, afin d'illuster une approche nouvelle dans la modélisation de ce pourvoir réflecteur. Cette méthode utilise des données quantitatives fournies par la pyrolyse combinée à la Chromatographie en phase gazeuse et relatives à des kérogènes de vitrinite. A partir de ces données, on exprime les concentrations des fractions à structure spécifique dans les kérogènes vitrinitiques en fonction du degré d'évolution. A partir de cet ensemble de données, on établit un modèle de l'énergie d'activation selon une distribution gaussienne, applicable à la perte de phénol-précurseur dans les vitrinites, en se référant à cet effet aux déroulements historiques de l'enfouissement fournis par la littérature. La production de phénol est alors mise en relation avec le pourvoir réflecteur de la vitrinite. Le modèle du pouvoir réflecteur prévisible, basé sur ce système des phénols a été contrôlé dans un forage de la côte du golfe du Mexique (USA), et les résultats comparés à ceux du modèle de Lopatin appliqué au même forage. Le modèle présenté est numériquement compatible avec les modèles cinétiques habituels qui rendent compte de la production d'hydrocarbure à partir des kérogènes des roches-mères; il présente une meilleure indépendance que la méthode de Lopatin par rapport au taux d'échauffement.

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Inversion for seismic anisotropy using genetic algorithms1

A general inversion scheme based on a genetic algorithm is developed to invert seismic observations for anisotropic parameters. The technique is applied to the inversion of shear-wave observations from two azimuthal VSP data sets from the Conoco test site in Oklahoma. Horizontal polarizations and time-delays are inverted for hexagonal and orthorhombic symmetries. The model solutions are consistent with previous studies using trial and error matching of full waveform synthetics. The shear-wave splitting observations suggest the presence of a shear-wave line singularity and are consistent with a dipping fracture system which is known to exist at the test site. Application of the inversion scheme prior to full waveform modelling demonstrates that a considerable saving in time is possible whilst retaining the same degree of accuracy.     

Spatially discontinuous modern sedimentation in Georgian Bay, Huron Basin, Great Lakes

High-resolution seismic reflection profile data show that the modern sediment cover (over the last 150 years) in Georgian Bay is thin and spatially discontinuous. Sediments rich in ragweed pollen, largely derived from siltation linked to land clearing and European settlement, form a thin, discontinuous veneer on the lakebed. Much of the lakebed consists of exposed sediments deposited during the late glacial or early postglacial. Accumulation rates of modern sediments range from < 0 mm/year (net erosion) to ∼3.2 mm/year, often within a few hundred metres spatially. These rates are much lower than those reported for the main basin of Lake Huron and the other Great Lakes, and are attributed to the low sediment supply. Only a few small rivers flow into Georgian Bay, and most of the basin is surrounded by bedrock of Precambrian gneiss and granite to the east, and Silurian dolostone, limestone and shale to the west. Thick deposits of Pleistocene drift, found on the Georgian Bay shoreline only between Meaford and Port Severn, are the main sediment source for the entire basin at present. Holocene to modern sediments are even absent from some deep basins of Georgian Bay. These findings have implications for the ultimate fate of anthropogenic contaminants in Georgian Bay. While microfossil assemblages in the ragweed-rich sediments record increased eutrophication over the last 150 years, most pollutants generated in the Georgian Bay catchment are not accumulating on the lakebed and are probably exported from the Bay.     

The numerical solution of the Advection-Dispersion Equation: A review of some basic principles

The simulation of solute transport in rivers is frequently based on numerical models of the Advection-Dispersion Equation. The construction of reliable computational schemes, however, is not necessarily easy. The paper reviews some of the most important issues in this regard, taking the finite volume method as the basis of the simulation, and compares the performance of several types of scheme for a simple case of the transport of a patch of solute along a uniform river. The results illustrate some typical (and well known) deficiencies of explicit schemes and compare the contrasting performance of implicit and semi-Lagrangian versions of the same schemes. It is concluded that the latter have several benefits over the other types of scheme.     

Evolution of the variability of surface temperature and vegetation density in the great plains

This study focuses on how the variability of land surface temperature and vegetation density at the SGP ARM-CART site changes over episodic (day to day) and seasonal time scales using AVHRR satellite data. Four drying periods throughout the year are analyzed. Land surface temperature had an erratic relationship with time exhibiting no deterministic pattern from day-to-day or season-to-season. Furthermore, it did not exhibit spatial pattern persistence. On the other hand, vegetation density had a consistent spatial pattern and temporal decay during average length drying periods (less than 7 days) as well as within a season. However, there were distinct differences in the seasonal pattern of variation between winter and growing seasons. In addition, the paper highlights a methodology to quantify the relationships that exist at the land surface between the primary parameter of interest and the controlling variables.