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Anderson, M., Gullco, R. (2014) On discriminating sand from shale using prestack inversion without wells: A proof of concept using well data as a surrogate for seismic amplitudes. The Leading Edge, 33 (3). 256-264 doi:10.1190/tle33030256.1

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Reference TypeJournal (article/letter/editorial)
TitleOn discriminating sand from shale using prestack inversion without wells: A proof of concept using well data as a surrogate for seismic amplitudes
JournalThe Leading Edge
AuthorsAnderson, M.Author
Gullco, R.Author
Year2014 (March)Volume33
Issue3
PublisherSociety of Exploration Geophysicists
DOIdoi:10.1190/tle33030256.1Search in ResearchGate
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Mindat Ref. ID7352844Long-form Identifiermindat:1:5:7352844:3
GUID0
Full ReferenceAnderson, M., Gullco, R. (2014) On discriminating sand from shale using prestack inversion without wells: A proof of concept using well data as a surrogate for seismic amplitudes. The Leading Edge, 33 (3). 256-264 doi:10.1190/tle33030256.1
Plain TextAnderson, M., Gullco, R. (2014) On discriminating sand from shale using prestack inversion without wells: A proof of concept using well data as a surrogate for seismic amplitudes. The Leading Edge, 33 (3). 256-264 doi:10.1190/tle33030256.1
In(2014, March) The Leading Edge Vol. 33 (3) Society of Exploration Geophysicists

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Roy, Baishali, Anno, Phil, Gurch, Michael (2008) Imaging oil-sand reservoir heterogeneities using wide-angle prestack seismic inversion. The Leading Edge, 27 (9). 1192-1201 doi:10.1190/1.2978982
Padhi, Amit, Mallick, Subhashis (2013) Accurate estimation of density from the inversion of multicomponent prestack seismic waveform data using a nondominated sorting genetic algorithm. The Leading Edge, 32 (1). 94-98 doi:10.1190/tle32010094.1
Sun, Sam Zandong, Zhu, Xinghui, Sun, Xuekai (2014) Technique evolvement and improvement for better fracture characterization using prestack P-wave seismic data. The Leading Edge, 33 (8). 856-860 doi:10.1190/tle33080856.1
Contreras, Arturo, Torres-Verdín, Carlos, Fasnacht, Timothy, Chesters, William, Kvien, Knut (2014) Joint stochastic inversion of 3D prestack seismic-amplitude data and well logs for high-resolution reservoir characterization of deepwater hydrocarbon reservoirs. The Leading Edge, 33 (5). 520-525 doi:10.1190/tle33050520.1
Singleton, Scott (2009) The effects of seismic data conditioning on prestack simultaneous impedance inversion. The Leading Edge, 28 (7). 772-781 doi:10.1190/1.3167776
Mallick, Subhashis, Dutta, Nader C. (2002) Shallow water flow prediction using prestack waveform inversion of conventional 3D seismic data and rock modeling. The Leading Edge, 21 (7). 675-680 doi:10.1190/1.1497323
Srivastava, R. P., Sen, M. K. (2010) Stochastic inversion of prestack seismic data using fractal-based initial models. Geophysics, 75 (3) doi:10.1190/1.3379322
Goussev, Serguei, Rauch-Davies, Marianne, Smith, Paul A., Weber, Janine (2014) Prediction of deep stratigraphic targets from integrated interpretation of the gravity, magnetic, seismic, and well data: Concept, methodology, and application. The Leading Edge, 33 (1). 40-46 doi:10.1190/tle33010040.1
Tian, Sean, Shams, Asghar, MacBeth, Colin (2014) Closing the loops using engineering-consistent 4D seismic inversion. The Leading Edge, 33 (2). 188-196 doi:10.1190/tle33020188.1
Colombo, D., De Stefano, M. (2007) Geophysical modeling via simultaneous joint inversion of seismic, gravity, and electromagnetic data: Application to prestack depth imaging. The Leading Edge, 26 (3). 326-331 doi:10.1190/1.2715057
Dutta, N. C. (2002) Deepwater geohazard prediction using prestack inversion of large offsetP-wave data and rock model. The Leading Edge, 21 (2). 193-198 doi:10.1190/1.1452612
 
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