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- Volume 32, Issue 3, 2014
First Break - Volume 32, Issue 3, 2014
Volume 32, Issue 3, 2014
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Implications of HorizonCubes in shallow hazards interpretation
Authors Eric Bouanga, James Selvage, Farrukh Qayyum, Charles Jones, Sarah Brazier and Jonathan EdgarEric Bouanga, James Selvage, Farrukh Qayyum, Charles Jones, Sarah Brazier and Jonathan Edgar demonstrate how the HorizonCube method can be applied in shallow geohazard interpretation.
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Enhanced delineation of reservoir compartmentalization from advanced preand post-stack seismic attribute analysis
Authors Clark Chahine, Leigh Truelove and Mauricio Herrera VolcanClark Chahine, Leigh Truelove and Mauricio Herrera Volcan propose a new approach to preconditioning steps designed to avoid degradation of data.
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Forward modelling to understand colour responses in an HDFD RGB blend around a gas discovery
Authors Nicholas Cooke, Peter Szafian, Robert Gruenwald and Lothar SchulerNicholas Cooke, Peter Szafian, Robert Gruenwald and Lothar Schuler present a modelling technique to understand the colour response from an HDFD blend above and below a known gas water contact of a proven gas accumulation in the Sofala Concession.
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Efficient numerical modelling and imaging practices for aiding marine acquisition design and interpretation
Authors Milos Cvetkovic, Carlos Calderón-Macías, Paul Farmer and Giles WattsMilos Cvetkovic, Carlos Calderón-Macías, Paul Farmer and Giles Watts present robust seismic modelling and imaging practices for assessing survey design parameters and how these affect velocity model building, imaging and interpretation.
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A seismic tool to reduce source maturity risk in unexplored basins
Authors Neil Hodgson, Anongporn Intawong, Karyna Rodriguez and Mads HuuseNeil Hodgson, Anongporn Intawong, Karyna Rodriguez and Mads Huuse present a powerful new seismic method for estimating heat flow in undrilled basins.
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Conditioning geomodels to seismic data: a streamlined interpretation workflow
Authors Garrett Leahy, Alexander Bukhgeym and Wenxiu YangGarrett Leahy, Alexander Bukhgeym and Wenxiu Yang present a new method for solving problems in interpretation called model-based seismic conditioning.
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Improving models of the Earth’s magnetic field for directional drilling applications
Authors Ciarán Beggan, Susan Macmillan, Ellen Clarke and Brian HamiltonOver the past 20 years, directional borehole drilling has become increasingly important for improving the optimal extraction of reserves from challenging targets and for reducing wellbore collisions. Very long wells drilled using borehole steering methods can take weeks to months to complete and rely on accurate models of the Earth’s magnetic field which necessarily include a parameterization of its time variation. Magnetic field models used in the hydrocarbon industry, such as the BGS Global Geomagnetic Model (BGGM), are computed from data collected by a network of ground-based magnetic observatories and from low Earth-orbiting satellites. Magnetic field models provide snapshots looking back in time, but to be useful to industry, they also need to predict how the field will change in the future. Previously, predictions of magnetic variation have been based on relatively simple extrapolation of the observed changes. We introduce a physics-based technique to forecast the changes in the field by deducing large-scale flow of the iron-rich liquid at the top of the outer core and use this to advect the present magnetic field forwards in time. We demonstrate that this method produces valuable improvements in the accuracy of magnetic field models and hence an improved tool for directional drilling.
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A model-based water-layer demultiple algorithm
Authors Ping Wang, Hongzheng Jin, Min Yang and Sheng XuThis paper focuses on the attenuation of Water-Layer-Related Multiples (WLRMs or peg-leg multiples) which reflect at least once between the water bottom and the water surface. WLRMs are often the most dominant multiples in shallow-water seismic data. We propose a Model-based Water-layer Demultiple (MWD) algorithm to calculate the Green’s functions of the Water-Layer Primary Reflections (WLPRs: Green’s functions convolved with source signature) based on the known seabed and water-layer velocity model and then convolve them with the recorded data to predict the WLRMs. Combined with adaptive subtraction, MWD can effectively attenuate WLRMs. We apply MWD to field data from the Hibernia oilfield area which has a water depth of 70-90 m. The results show that while Surface-Related Multiple Elimination (SRME) by itself has limited success, MWD is effective in attacking WLRMs. Once the WLRMs have been removed by MWD, successive SRME can then be applied to predict and eliminate other types of surface-related multiples (SRMs). The combination of MWD and SRME is demonstrated as an effective multiple attenuation package for shallow-water data and results in fewer residual multiples and better preserved primaries over tau-p gapped deconvolution. This, in turn, contributes to a more realistic velocity model and higher-quality images.
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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)