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- Volume 21, Issue 3, 2003
First Break - Volume 21, Issue 3, 2003
Volume 21, Issue 3, 2003
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Has volume interpretation of structure been cracked at last?
By H. JamesHuw James, Paradigm’s visualization and interpretation product manager, believes that volume interpretation of seismic data has finally arrived. In this short article, he explains why.
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How VoxelVision is taking small steps to capture the big picture
By A. McBarnetA Norwegian start-up company is bringing large volume visualisation and interpretation to the geoscientist's desktop. Andrew McBarnet describes the birth of an innovative idea which has developed commercial momentum.
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A review of 3D PreSDM model building techniques
By I.F. JonesCurrent practice in velocity model building involves close interaction between the interpreter and the geophysicist. To facilitate this interaction, which by its nature is iterative, a full suite of interpretative and visualisation tools is required in order to reduce cycle time. With this in mind, this tutorial paper by Ian F. Jones, dealing with preSDM model building techniques, has been included in our Special Topic on interpretation and visualisation.
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Extending the frontiers of research at the BP Center for Visualization
By G.A. DornGeoffrey A. Dorn, executive director, reports on the setting up of the BP Center for Visualization at the University of Colorado and its programme of research which although mainly focused on the oil and gas industry is genuinely multidisciplinary with potential applications in medicine and aerospace currently being explored.
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Hexagonal sampling and hexagonal binning in 3D seismic data acquisition
By V. BardanThe hexagonal sampling offers savings in data storage and processing of 3D poststack seismic data because the hexagonal sampling grid requires 13.4% fewer sample points compared to a square grid to represent data with the same degree of accuracy. Moreover, 3D poststack migration via McClellan transformations is better applied on a hexagonal grid than on a square one. Using a hexagonal grid of midpoints we can also reduce by 13.4% either the receiver or the source effort compared to a square grid of midpoints and yet still achieve the same resolution.
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Multiple prediction without prestack data - an efficient tool for interpretive processing
More LessMultiple-attenuation during data processing does not guarantee a 'multiple-free' final section. Although a great deal of effort has been given to the problem of multiple-suppression (Berryhill and Kim 1986; Wiggins 1988; Verschuur et al. 1992; and others), perfect solutions still do not exist. When the subsurface structure is complex, the remaining multiples will be difficult to recognize, especially after the data have been migrated. In addition, many of the available multiplesuppression techniques are restricted to two-dimensional geometries and do not attempt to handle interbed and complex multiples (which consist of a combination of interbed and surface-related multiples). These restrictions further increase the possibility of obtaining undesired multiple energy in the final sections. Generally speaking, multiple prediction is used as an initial step for multiple suppression. The predicted multiples must be very accurate, both kinematically and dynamically, since the suppression operation involves subtraction of multiple energy from the recorded data. Therefore, standard multiple-prediction algorithms require manipulation of prestack data or an accurate forward-modelling technique based on a given interval velocity model of the subsurface. While interpreting data from areas where significant multiple energy has been recorded, the interpreter must rely on the success of the multiple-suppression operation. When it is suspected that a certain event is a multiple, it is difficult to verify this using standard interpretation tools. We believe that multiple prediction and identification can play an important role in seismic interpretation. The main obstacle preventing multiple-prediction procedures from being routinely used by interpreters is the necessity to access prestack data. Velocity analysis in an interpretive process that may become difficult to carry out in the presence of multiples (Gasparotto and Lau 2000). It is often the analyst's decision to distinguish between primary and multiple energy while picking velocities. If the multiple-prediction procedure can provide information on the velocity that will optimally stack the multiple energy, it could be used as a guideline during velocity analysis to help in avoiding erroneous velocity picks. This study is based on the assumption that if the prediction is not aimed at providing input to multiple-suppression algorithms, then it can become a purely kinematic procedure. Furthermore, without prestack data, interactive algorithms, highly suitable for interpretive work, can be developed on the basis of the proposed procedure. In the following, we briefly describe the concept of the prediction method. We then show how the need to access prestack data is avoided, thus permitting fast interactive prediction after stack and/or migration. Finally, we suggest a practical workflow to promote prediction during interpretation and standard velocity-analysis sessions. All the above procedures will be illustrated using synthetic and field data examples.
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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)