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- Volume 30, Issue 11, 2012
First Break - Volume 30, Issue 11, 2012
Volume 30, Issue 11, 2012
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Investigating the problem of imaging below shallow gas: a survey design and modelling case study
Authors M. Branston, P. Baltensperger, M. Choo, M. Wysocki and M. ThamMike Branston, Paul Baltensperger, Matthew Choo, Marty Wysocki and Michelle Tham implement a forward modelling workflow to investigate whether poor seismic amplitudes below areas of shallow gas can be improved through the deployment of advanced, full-azimuth acquisition techniques with a case study from Malaysian deep water.
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Improved imaging in complex geology using separated wavefields
Authors J. Brittan, D. Whitmore, S. Lu, A. Valenciano and S. Brandsberg-DahlJohn Brittan, Dan Whitmore, Shaoping Lu, Alejandro Valenciano and Sverre Brandsberg-Dahl show that the separating of wavefields made possible by dual-sensor streamers can provide additional information to improve imaging of complex geological settings.
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UKCS Cornerstone: a variable-depth streamer acquisition case study
Authors G. Moise, G. Body, V. Durussel, F. Mandroux and J. FirthGeorge Moise, Geoff Body, Vincent Durussel, Fabrice Mandroux and Jo Firth fill in the details of how a broadband marine acquisition survey deploying variable-depth streamers was undertaken in the North Sea.
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Signal to noise – the key to increased marine seismic bandwidth
Authors R. Gareth Williams and J. PollatosR. Gareth Williams and Jon Pollatos question the conventional wisdom on seismic acquisition suggesting that wider bandwidth can be achieved by revisiting signal to noise issues with deeper towing of streamers.
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Hydrocarbon leakage above the Snøhvit gas field, Hammerfest Basin SW Barents Sea
Authors I. Ostanin, Z. Anka, R. di Primio and A. BernalAnalysis of high resolution 3D seismic reflection data from the Snøhvit and Albatross gas fields has provided insights into the nature and dynamics of the fluid flow plumbing system in the Hammerfest Basin. The area investigated is characterized by a high density of pockmarks up to 300 m wide, as well as giant pockmarks over 1 km wide, linked to regional faults and seismically defined chimneys. Thermogenic gas hydrates are inferred from the presence of a bottom-simulating reflector, while the fluids are thought to be sourced through regional tectonic faults from the deep reservoirs. Evidence of glacial erosion processes suggests that the focused fluid escape took place during the ice retreat on two separate occasions, when the pockmarks and seismic pipes are thought to have been formed by methane leakage from the decomposition of gas hydrates. This evidence of large numbers of fluid flow structures may indicate potential geohazards for future exploration, development, and carbon dioxide sequestration in the greater Snøhvit area. Our results may be used as an analogue for other glacially influenced areas where hydrocarbon leakage is a major risk.
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CSEM data interpretation constrained by seismic and gravity data: an application in a complex geological setting
Authors Paolo Dell‘Aversana, S. Colombo, B. Ciurlo, J. Leutscher and J. SeldalWe describe a novel approach to the interpretation of marine controlled source electromagnetic (CSEM) data based on electromagnetic attributes in combination with gravity and seismic data. This integrated approach involves a new electromagnetic attribute of resistor probability, and has been applied in a complex exploration area in the Barents Sea adjacent to an extensive carbonate platform. We used the data recorded by a total of 172 CSEM receivers from two different surveys. Gravity data were also used to highlight large-scale geological features. Integrating seismic, electromagnetic, and gravity information helped to distinguish resistivity anomalies caused by geological variations from those caused by hydrocarbons. Finally, the hydrocarbon distributions in two stacked reservoirs were accurately mapped. Our integrated approach significantly improved the appraisal of the field, reducing the exploration risk in the surrounding area and facilitating the placement of future wells.
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Geologically constrained history matching with PCA
Authors M.D. Prange, T.P. Dombrowsky and W.J. BaileyPrincipal component analysis has been used in a variety of disciplines such as pattern recognition, machine learning, and image processing. In this article, principal component analysis is used for history matching, i.e., adjusting the uncertain parameters of a reservoir model in order to match the simulated results with the observed behaviour. This approach incorporates geological realism into the history matching process by limiting the search to models that satisfy the prior geostatistical constraints. The Brugge model is presented as a test case against which the algorithm is validated. The results show an improvement over previously published data, yielding higher net present value and lower predictive error.
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Volumes & issues
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Volume 42 (2024)
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Volume 41 (2023)
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Volume 40 (2022)
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Volume 39 (2021)
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Volume 38 (2020)
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Volume 37 (2019)
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Volume 36 (2018)
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Volume 35 (2017)
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Volume 34 (2016)
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Volume 33 (2015)
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Volume 32 (2014)
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Volume 31 (2013)
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Volume 30 (2012)
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Volume 29 (2011)
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Volume 28 (2010)
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Volume 27 (2009)
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Volume 26 (2008)
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Volume 25 (2007)
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Volume 24 (2006)
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Volume 23 (2005)
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Volume 22 (2004)
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Volume 21 (2003)
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Volume 20 (2002)
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Volume 19 (2001)
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Volume 18 (2000)
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Volume 17 (1999)
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Volume 16 (1998)
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Volume 15 (1997)
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Volume 14 (1996)
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Volume 13 (1995)
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Volume 12 (1994)
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Volume 11 (1993)
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Volume 10 (1992)
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Volume 9 (1991)
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Volume 8 (1990)
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Volume 7 (1989)
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Volume 6 (1988)
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Volume 5 (1987)
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Volume 4 (1986)
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Volume 3 (1985)
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Volume 2 (1984)
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Volume 1 (1983)