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- Volume 19, Issue 11, 2001
First Break - Volume 19, Issue 11, 2001
Volume 19, Issue 11, 2001
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The hidden roots of human discovery and creativity
This is an edited version of a paper presented by Prof. Peter Hubral, professor of applied geophysics, University of Karlsruhe, Germany at the European/CIS Luncheon meeting at the SEG Meeting 2001 in San Antonio. It raises some thought-provoking ideas about the nature of scientific discovery, which may stimulate debate. First Break certainly welcomes any response to Prof. Hubral's interpretation of the creative process.
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Seismic processing
Authors R. Siliqi, C. Sun, R.D. Martinez, H. Trappe, G. Gierse, J. Pruessmann and J.-Y. BlancThe following articles regarding the Special Topic: 'Seismic processing' are collected: - 'Technological leap in time processing focuses the data throughout anisotropic Media', from Risto Siliqi. - 'Amplitude preserving V(z) pre-stack Kirchhoff time migration for VTI media', from Chuanwen Sun and Ruben D. Martinez. - 'Case studies showing potential of CRS stack-structural resolution in the time domain beyond the conventional NMO/DMO stack', from Henning Trappe, Guido Gierse and Juergen Pruessmann. - 'How CGG took to cluster technology for seismic processing', from Jean-Yves Blanc.
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Gardner's relations and AVO inversion
Authors A.S. Barnola and R.E. WhiteSeismic reflection data contain information about the nature and the composition of a medium (its lithology, fluid content, porosity and so on). The lithological and fluid properties of a medium cannot be inferred from P-wave data alone: information on the S-wave response is also required. Although S-wave data are rarely directly acquired, S-wave information can be extracted from the P-wave amplitude-variation-with-offset (AVO). One consequence of this is a spurious correlation between estimated P-wave and S-wave properties; another is that S-wave related estimates are very sensitive to noise (Cambois 2000). AVO inversion is commonly applied as a means of retrieving P-wave and S-wave properties from seismic data. The use of a constraint, such as a Gardner-type relation, is highly recommended because, by reducing the number of parameters, it stabilizes the inversion. But the constraint introduces biases into the estimated parameters. As our ultimate aim is quantitative (rather than only qualitative) characterization of fluidfilled reservoirs, we studied the quantitative effects of using a Gardner constraint on AVO inversion. This paper shows results from synthetic models based on log data from four (one per AVO class) North Sea wells. A real data example from the North Sea illustrates the application of these results.
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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)