Failure to predict igneous rocks encountered during exploration of sedimentary basins : a case study of the Bass Basin, Southeastern Australia

This work was carried out during a research visit to the Australian School of Petroleum at the University of Adelaide, and forms part of the lead author's PhD research, which is funded by a University of Aberdeen College of Physical Sciences Scholarship. Seismic interpretation was conducted using IHS Kingdom, and well log interpretation using Schlumberger Techlog software. Synthetic seismic response modelling was performed using Ikon RokDoc software. This paper greatly benefited from the reviews of Sverre Planke, Kamal'deen Omosanya and an anonymous reviewer.Peer reviewedPostprin

Overpressure transmission through interconnected igneous intrusions

JX Nippon UK Ltd are thanked for PSDM seismic data used in this study. Well data is from the Common Access Database (CDA). IHS Kingdom Software and Schlumberger Petrel Software was used for seismic interpretation. Schlumberger Techlog was used for display of wireline and FMI data. We would like to thank Joe Cartwright, Richard Swarbrick, Clayton Grove and Stephen O’Connor for the constructive and helpful reviews and discussions of this manuscript. PGS are thanked for continued support of the research group at Aberdeen. Barry Katz is thanked for editorial guidance and input.Peer reviewedPublisher PD

Controls on the Distribution of Volcanism and Intra-Basaltic Sediments in the Cambo-Rosebank Region, West of Shetland

This paper forms part of a NERC Oil & Gas CDT PhD. PGS and TGS are thanked for donation of the FSB2011/12 MultiClient GeoStreamer® Survey without which this research would have been impossible. Stephen Morse is thanked for his constant input and support throughout the project. Chevron North Sea Limited are thanked for their interest and discussions on the Rosebank Field. All views, interpretations and opinion expressed in this article are entirely those of the authors and do not necessarily represent the views, interpretations or opinions of Chevron North Sea Limited. Jonathan Dietz is thanked for fieldwork in Iceland.Peer reviewedPostprin

Parent-Metabolite Pharmacokinetic Models for Tramadol – Tests of Assumptions and Predictions

Allometric principles were used to discern cross-species differences in (±)-tramadol disposition and formation of its primary analgesic metabolite, (±)-O-desmethyl-tramadol (M1). Species differences in formation of M1 may help predict the analgesic effectiveness of tramadol. Tramadol was administered intravenously by a zero-order (constant infusion) process or rapid bolus dose and racemic concentrations of tramadol and M1 measured. Data were pooled to define differences between species (human, rat, cat, dog, goat, donkey and horse). A two-compartment linear disposition model with first-order elimination was used to describe tramadol and M1 disposition. Slow metabolizers were detected in 6% of the population and tramadol clearance to M1 was 16.2% that of extensive metabolizers. Tramadol clearance to M1 was slower and tramadol clearance by other pathways was faster in rats, dogs, and horses compared to humans. There are substantial differences between species in the pharmacokinetics of tramadol and its M1 metabolite, which are not explained by differences in body weight. The hypothesis that volumes of distribution are similar across species was shown not to be true. M1 exposure in the goat, donkey and cat was comparable to humans, which indicates it is likely to be an effective analgesic at typically used doses in these species but not in dogs or horses

Emplacement of the Little Minch Sill Complex, Sea of Hebrides Basin, NW Scotland

Acknowledgements The work contained in this paper contains work conducted during a PhD study undertaken as part of the Natural Environment Research Council (NERC) Centre for Doctoral Training (CDT) in Oil & Gas [grant number RG12649-12] and is fully funded by NERC whose support is gratefully acknowledged. We are also grateful to IHS Markit for provision of, and permission to publish an example from their 2D seismic data volumes and gravity and magnetics database, and to Schlumberger for the donation of Petrel seismic interpretation software licences to Aberdeen University. We acknowledge the UKOilandGasData.com website owned by UK National Data Repository administered by Schlumberger, for access to the seismic data volumes and released UK well database. Stephen Jones and Thomas Phillips are thanked for considered and constructive reviews which helped improved and broaden the appeal of the paper. Stephen Daly is thanked for giving helpful editorial steer and comments on how to improve paper. Funding This work was funded by the Natural Environment Research Council (RG12649-12). Dougal Jerram is partly supported by the Research Council of Norway through its Center of Excellence funding scheme, project 223272 (CEED)Peer reviewedPostprin

Structural and lithological controls on the architecture of igneous intrusions : examples from the NW Australian Shelf

N.J Mark's PhD is funded by JX Nippon Exploration and Production (UK) as part of the Volcanic Margin Research Consortium Phase 2. S.P. Holford is supported by ARC Discovery Project DP160101158.Peer reviewedPostprin

Failure of interpolation in the intuitionistic logic of constant domains

This paper shows that the interpolation theorem fails in the intuitionistic logic of constant domains. This result refutes two previously published claims that the interpolation property holds.Comment: 13 pages, 0 figures. Overlaps with arXiv 1202.1195 removed, the text thouroughly reworked in terms of notation and style, historical notes as well as some other minor details adde

Inside the volcano : Three-dimensional magmatic architecture of a buried shield volcano

Acknowledgements: Funding from NERC (Oil and Gas CDT) and BGS is gratefully acknowledged. DAJ and SP are part-funded by the Research Council of Norway Centre of Excellence funding scheme (project No. 223272). TGS is thanked for providing seismic data to the University of Aberdeen. Seismic interpretation was undertaken using Schlumberger Petrel software and gravity modelling using ARK CLS XField software. Thanks go to Steffi Burchardt, Eric Horsman and Christian Eide for constructive reviews which greatly improved the manuscript.Peer reviewedPublisher PD

New Insights into the Structure, Geology and Hydrocarbon Prospectivity along the Central-Northern Corona Ridge, Faroe-Shetland Basin

Acknowledgements This paper forms part of the lead author’s Ph.D. research conducted as part of the Natural Environment Research Council (NERC) Centre for Doctoral Training (CDT) in Oil and Gas at the University of Aberdeen. It is funded by the University of Aberdeen and sponsored by Total E&P UK Limited, whose support is gratefully acknowledged. PGS are thanked for the generous provision of the FSB MegaSurveyPlus seismic dataset to the Ph.D. project and also for permission to publish part of the dataset (Fig. 3). This paper contains information provided by the North Sea Transition Authority and/or other third parties. Seismic data used throughout this paper were purchased from the UK North Sea Transition Authority (NSTA) National Data Repository (NDR) portal. Well data used throughout this paper are freely available and can be downloaded from the UK NSTA NDR portal. Core photographs were obtained from the BGS Offshore well database. Seismic interpretation was undertaken using Schlumberger Petrel software and well log interpretation was performed using Schlumberger Techlog software, of which academic licenses were kindly provided by Schlumberger and are gratefully acknowledged. Thanks to Conrado Climent, Ole-Petter Hansen, Michael Hertle, Anders Madsen, and Stuart Archer for invaluable discussions during the lead author’s time spent working with TotalEnergies in Copenhagen. Thanks also to Christopher Bugg and Matthew Rowlands at TotalEnergies in Aberdeen. Reviewers Tony Doré, Peter Dromgoole and Clayton Grove are thanked for their detailed constructive reviews which improved this manuscript. The views held within this paper do not necessarily represent the views of Schlumberger, TotalEnergies and Ørsted. Funding: The University of Aberdeen (grant number: RT10121-14), Natural Environment Research Council Centre for Doctoral Training (CDT) in Oil and Gas (grant number: NE/M00578X/1) and Total E&P UK Limited. Principal award-recipient: Lucinda Kate Layfield.Peer reviewedPublisher PD