Changes

Geometrical patterns that allow depositional sedimentary environments to be recognized can sometimes be picked out by seismic [[facies analysis]].<ref name=Posamentier_2004 /> Seismic facies analysis involves the analysis of seismic character to help predict the depositional environment. One method uses a computer-based neural network analysis of waveform character within a window of seismic data. A map is made showing the areal distribution of the waveform character classes, and this can be correlated with lithofacies variation.

Geometrical patterns that allow depositional sedimentary environments to be recognized can sometimes be picked out by seismic [[facies analysis]].<ref name=Posamentier_2004 /> Seismic facies analysis involves the analysis of seismic character to help predict the depositional environment. One method uses a computer-based neural network analysis of waveform character within a window of seismic data. A map is made showing the areal distribution of the waveform character classes, and this can be correlated with lithofacies variation.

Semblance and spectral decomposition methods were used to pick out individual macroforms in Pleistocene deltaic sediments in the Gulf of Mexico.<ref name=Lopezetal_1997>Lopez, J. A., G. Partyka, N. L. Haskell, and S. E. Nissen, 1997, Identification of deltaic facies with 3-D seismic coherency and the spectral decomposition cube: A study from South Marsh Island Area, Gulf of Mexico: Gulf Coast Association of Geological Societies Transactions, v. 47, p. 305–309.</ref> Spectral decomposition is a way of breaking down a seismic trace into its discrete component frequencies.<ref name=Partykaetal_1999>Partyka, G., J. Gridley, and J. Lopez, 1999, Interpretational applications of spectral decomposition in reservoir characterization: The Leading Edge, v. 18, no. 3, p. 353–360.</ref> Certain stratigraphic features can be picked out because they are more sensitively tuned to specific frequencies although they may not be obvious in the seismic trace as a whole.

Semblance and spectral decomposition methods were used to pick out individual macroforms in Pleistocene deltaic sediments in the [[Gulf of Mexico]].<ref name=Lopezetal_1997>Lopez, J. A., G. Partyka, N. L. Haskell, and S. E. Nissen, 1997, Identification of deltaic facies with 3-D seismic coherency and the spectral decomposition cube: A study from South Marsh Island Area, Gulf of Mexico: Gulf Coast Association of Geological Societies Transactions, v. 47, p. 305–309.</ref> Spectral decomposition is a way of breaking down a seismic trace into its discrete component frequencies.<ref name=Partykaetal_1999>Partyka, G., J. Gridley, and J. Lopez, 1999, Interpretational applications of spectral decomposition in reservoir characterization: The Leading Edge, v. 18, no. 3, p. 353–360.</ref> Certain stratigraphic features can be picked out because they are more sensitively tuned to specific frequencies although they may not be obvious in the seismic trace as a whole.

==Determining the basin topography==

==Determining the basin topography==