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- Volume 30, Issue 3, 2012
First Break - Volume 30, Issue 3, 2012
Volume 30, Issue 3, 2012
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News Feature: Economic development and the demand for energy: A historical perspective on the next 20 years
Authors C. Rühl, P. Appleby, J. Fennema, A. Naumov and M. SchafferIn a paper published to coincide with BP’s ‘Energy Outlook 2030’ Christof Rühl, Paul Appleby, Julian Fennema, Alexander Naumov and Mark Schaffer review evidence of the last two centuries of industrialization to analyze the evolution of energy intensity over the long- and short-run. Their analysis suggests among other things that high growth in per capita income over the next 20 years need not be constrained by resource availability. The text of this article can be found here.
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Enhanced coherence attribute imaging by structurally oriented filtering
Authors C.G. Eichkitz, J. Amtmann and M.G. SchreilechnerChristoph Georg Eichkitz, Johannes Amtmann and Marcellus Gregor Schreilechner investigate the application and limitations of seismic attributes starting with the building of a unique database.
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Seismic inversion and its applications in reservoir characterization
Authors K.N. Nair, O. Kolbjørnsen and A. SkorstadKrishnakumar Narayanan Nair, Odd Kolbjørnsen and Arne Skorstad, review seismic inversion and propose a fast and efficient way of estimating elastic properties and facies probability parameters using the results from inversion and through the incorporation of facies logs.
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4D reservoir simulation workflow for optimizing inflow control device design – a case study from a carbonate reservoir in Saudi Arabia
Authors O. Ogunsanwo, B. Lee, H. Wahyu, E. Leung, V. Gottumukkala and F. RuanO. Ogunsanwo, B. Lee, H. Wahyu, E. Leung, V. Gottumukkala and F. Ruan describe a new 4D inflow control device optimization workflow developed using a sector model on the west flank of Field A, offshore Saudi Arabia.
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Geological Expression: data driven–interpreter guided approach to seismic interpretation
By J. HendersonJonathan Henderson introduces a new approach to understanding and defining the 3D morphology of the geological elements imaged within the seismic data.
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Using 3D Wheeler diagrams in seismic interpretation – the HorizonCube method
Authors F. Qayyum, P. de Groot and N. HemstraFarrukh Qayyum, Paul de Groot and Nanne Hemstra show that their HorizonCube-based transformation of seismic data provides a picture equivalent to the Wheeler diagram. Case studies from The Netherlands and Canada make the case.
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Tutorial: Incorporating near-surface velocity anomalies in pre-stack depth migration models
By I.F. JonesUnresolved velocity anomalies in the near surface degrade deeper imaging. As a consequence, great care needs to be taken to ensure that all significant near-surface effects have been dealt with before attempting to build the deeper parts of a velocity–depth model. In order to incorporate velocity anomalies into the model, a range of options can be used, depending on whether the geobody geometry alone is discernible, or whether its velocity distribution is also known. Here I describe current industrial practice for building complex near-surface models, which is based on a range of approximate techniques, as well as the more complete solution offered by the emerging technology of waveform inversion. Although building complex nearsurface models is a painstaking process, a suitable near-surface velocity model can usually be obtained.
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Estimation of stress and geomechanical properties using 3D seismic data
Authors D. Gray, P. Anderson, J. Logel, F. Delbecq, D. Schmidt and R. SchmidPrincipal stresses, that is vertical, maximum horizontal and minimum horizontal stresses, and elastic moduli related to rock brittleness, like Young’s modulus and Poisson’s ratio, can be estimated from wide-angle, wide-azimuth seismic data. This is established using a small 3D seismic survey over the Colorado shale gas play of Alberta, Canada. It is shown that this information can be used to optimize the placement and direction of horizontal wells and hydraulic fracture stimulations.
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Assessing combination traps: using risk to define uncertainty
By C.D. NormanProbabilistic assessment of exploration prospects comprises two processes: estimation of risk, and estimation of uncertainty. Risk, R, is the chance of failure, while 1-R is the chance of success. Uncertainty is the range of volumes, and their associated exceedance probabilities, that we may encounter if we are successful. The chance of success is often impacted by the trap type. Fault-dependent closures are usually perceived as having lower chances of success than fault-independent closures. Combination traps, i.e., traps that are both fault-independent and fault-dependent, require a blurring of the distinction between uncertainty and risk. The chance of success for each trap type is used to define the uncertainty within the success case. In order to create the success case distribution of potential contacts in a combination trap, one must consider the chance of success for each individual trap type. Geologists who do not consider risk when assessing uncertainty may create success case distributions that cannot be technically supported.
Volumes & issues
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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)
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