1,090 research outputs found

    Sedimentology and reservoir properties of tabular and erosive offshore transition deposits in wave-dominated, shallow-marine strata : Book cliffs, USA

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    Acknowledgements and Funding Funding for this study was provided from the Research Council of Norway (Petromaks project 193059) and the FORCE Safari project. The helicopter-LiDAR data was collected by J. Valet and S. Pitiot of Helimap System SA. Riegl LMS GmbH is acknowledged for software support for the outcrop models, and ROXAR is acknowledged for use of their RMS reservoir modelling package. A. Rittersbacher is acknowledged for processing the heli-LiDAR model. The first author would like to thank O. S. Mulelid-Tynes and G. Henstra for assistance in the field and for valuable discussions. G. Hampson is thanked for insightful comments that significantly improved this manuscriptPeer reviewedPostprin

    Translocation of protein kinase C in rat islets of Langerhans Effects of a phorbol ester, carbachol and glucose

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    AbstractIn unstimulated rat islets (2 mM glucose), most of the ion-exchange purified protein kinase C (PKC) activity was associated with the cytosolic fraction. Both carbachol and phorbol myristate acetate caused a significant translocation of PKC activity from cytosolic to membrane fractions, but under the same conditions, glucose (20 mM) did not cause such a redistribution of PKC activity. PMA-induced translocation of PKC to the membrane fraction was also observed in electrically permeabilised islets, in which recovery of the enzyme activity was enhanced by buffering the intracellular Ca2+ concentration to 50 nM and supplying the permeabilised islets with protease inhibitors

    Seismic interpretation of sill complexes in sedimentary basins : implications for the sub-sill imaging problem

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    Acknowledgements: We thank reviewers Craig Magee and Murray Hoggett for considerate and insightful reviews that considerably improved this manuscript. The LIDAR data were acquired by Julien Vallet and Samuel Pitiot of Helimap Systems. We acknowledge NORSAR for an academic licence of the seismic modelling software SeisRoX, which was used to generate synthetic seismograms in this study, and NORSAR-2D, which was used for analysis of seismic propagation through the overburden models. The virtual outcrop was visualized and interpreted using LIME (http://virtualoutcrop.com/lime). We also acknowledge Tore Aadland for writing invaluable scripts used for import of the outcrop models to seismic modelling software, and Gijs A. Henstra and Björn Nyberg for assistance in the field. Funding: Funding for data acquisition was provided from the Research Council of Norway through the PETROMAKS project 193059 and the FORCE Safari project. Funding for data analysis and modelling was provided from PETROMAKS through the Trias North project (234152).Peer reviewedPostprin

    The near-infrared and ice-band variability of Haro 6-10

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    We have monitored the angularly resolved near infrared and 3.1 micron ice-band flux of the components of the young binary Haro 6-10 on 23 occasions during the years 1988 to 2000. Our observations reveal that both the visible star Haro 6-10 (Haro 6-10S) and its infrared companion (Haro 6-10N) show significant variation in flux on time scales as short as a month. The substantial flux decrease of Haro 6-10S over the last four years carries the reddening signature of increased extinction. However, a comparable K-band flux increase observed in the IRC is associated with a dimming in the H-band and cannot be explained by lower extinction. Absorption in the 3.1 micron water-ice feature was always greater towards the IRC during our observations, indicating a larger amount of obscuring material along its line of sight. We detect variability in the ice-band absorption towards Haro 6-10S and Haro 6-10N, significant at the 3.5 sigma and 2.0 sigma levels, respectively.Comment: 8 pages, 6 Figures, Accepted for Publication in Astronomy & Astrophysic

    Facies model for a coarse-grained, tide-influenced delta : Gule Horn Formation (Early Jurassic), Jameson Land, Greenland

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    Acknowledgements: Funding for this project was provided from the Research Council of Norway through the Petromaks project 193059 and the FORCE Safari Project. Arild Andresen (University of Oslo) and Aka Lynge (POLOG) are thanked for logistical support, Björn Nyberg (Uni Research CIPR and University of Bergen) for assistance in the field, Arve Næss (Statoil) for providing data and assistance during the planning phase, Julien Vallet and Huges Fournier (Helimap Systems SA) for data acquisition. Riegl LMS GmbH is acknowledged for software support. We thank Brian Willis and an anonymous reviewer for their insightful and thorough reviews and Mariano Marzo for editorial comments.Peer reviewedPublisher PD

    LIME : Software for 3-D visualization, interpretation, and communication of virtual geoscience models

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    Parts of LIME have been developed to address research requirements in projects funded by the Research Council of Norway (RCN) through the Petromaks and Petromaks 2 programs. The following grants are acknowledged: 153264 (VOG [Virtual Outcrop Geology]; with Statoil ASA), 163316 (Carbonate Reservoir Geomodels [IRIS (International Research Institute of Stavanger)]), 176132 (Paleokarst Reservoirs [Uni Research CIPR]), 193059 (EUSA; with FORCE Sedimentology and Stratigraphy Group), 234152 (Trias North [University of Oslo]; with Deutsche Erdoel AG, Edison, Lundin, Statoil, and Tullow), 234111 (VOM2MPS [Uni Research CIPR]; with FORCE Sedimentology and Stratigraphy Group), as well as SkatteFUNN (RCN) project 266740. In addition, the SAFARI project consortium (http://safaridb.com) is thanked for its continued support. The OSG and wxWidgets communities are acknowledged for ongoing commitment to providing mature and powerful software libraries. All authors thank colleagues past and present for studies culminating in the presented figures: Kristine Smaadal and Aleksandra Sima (Figs. 1 and 4); Colm Pierce (Fig. 2A); Eivind Bastesen, Roy Gabrielsen and Haakon Fossen (Fig. 3); Christian Haug Eide (Fig. 7); Ivar Grunnaleite and Gunnar Sælen (Fig. 8); and Magda Chmielewska (Fig. 9). Isabelle Lecomte contributed to discussions on geospatial-geophysical data fusion. Bowei Tong and Joris Vanbiervliet are acknowledged for internal discussions during article revision. The lead author thanks Uni Research for providing a base funding grant to refine some of the presented features. Finally, authors Buckley and Dewez are grateful to Institut Carnot BRGM for the RADIOGEOM mobility grant supporting the writing of this paper. Corbin Kling and one anonymous reviewer helped improve the final manuscript.Peer reviewedPublisher PD

    Participatory impact pathways analysis : A practical application of program theory in research-for-development

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    The Challenge Program on Water and Food pursues food security and poverty alleviation through the efforts of some 50 research-for-development projects. These involve almost 200 organizations working in nine river basins around the world. An approach was developed to enhance the developmental impact of the program through better impact assessment, to provide a framework for monitoring and evaluation, to permit stakeholders to derive strategic and programmatic lessons for future initiatives, and to provide information that can be used to inform public awareness efforts. The approach makes explicit a project's program theory by describing its impact pathways in terms of a logic model and network maps. A narrative combines the logic model and the network maps into a single explanatory account and adds to overall plausibility by explaining the steps in the logic model and the key risks and assumptions. Participatory Impact Pathways Analysis is based on concepts related to program theory drawn from the fields of evaluation, organizational learning, and social network analysis

    Predictable patterns in stacking and distribution of channelized fluvial sand bodies linked to channel mobility and avulsion processes

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    ACKNOWLEDGMENTS Funding from the American Chemical Society Petroleum Research Fund (ACS PRF 50310-DNI8), the University of New Orleans (Louisiana, USA), and a Marie Skłodowska-Curie grant (no. 707404) is thankfully acknowledged. We thank Martin Gibling, Mike Blum, and Jeffrey Nittrouer for constructive and critical reviews.Peer reviewedPublisher PD
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