the original Marmousi data set. Sampling of the wavefield in both time and space is an important consideration for accuracy, stability, and efficiency. A minimum of 10 spatial samples per wavelength and preferably 20 are required to eliminate phase and group velocity dispersion (commonly referred to as grid dispersion), while “Bording’s. possible to perform a major upgrade to the model and data set, thereby extending the usefulness of the model for, hope-fully, some time to come. This paper outlines the creation of an updated and upgraded Marmousi model and data set which we have named Marmousi2. We based the new model on the original Marmousi struc-. Marmousi is a 2-D synthetic dataset generated at the Institut Français du Pétrole (IFP). The geometry of this model is based on a profile through the North Quenguela trough in the Cuanza basin.

Marmousi data set limit

Download Citation on ResearchGate | Marmousi synthetic dataset | Marmousi is a 2-D synthetic dataset generated at the Institut Français du Pétrole (IFP). published geophysical data sets. of an updated and upgraded Marmousi model and data set sponding resolvable limit for representative shallow, mid-. Marmousi is a 2-D synthetic dataset generated at the Institut Français du . Nichols, D., , Maximum energy traveltimes calculated in the. The model was specifically created to illustrate the limitation of Kirchhoff The Marmousi dataset was used for the workshop on practical. in the proposed eikonal-based method is source-sampling independent, in practice we should limit the interpolation interval to be sufficiently small, We use the Marmousi dataset with a source/receiver sampling of $25$. Marmousi dataset was used for the workshop on practical aspects of seismic data inversion at the 52nd EAEG meeting in Since its inception in Versteeg, Roelof (). "The Marmousi experience: Velocity model determination on a synthetic complex data set". The Leading Edge 13 (9). The Marmousi synthetic data set (Bourgeois et al., ) was first released as a blind It is a complex acoustic 2-D data set based on the geology of the Cuanza . the original Marmousi data set. Sampling of the wavefield in both time and space is an important consideration for accuracy, stability, and efficiency. A minimum of 10 spatial samples per wavelength and preferably 20 are required to eliminate phase and group velocity dispersion (commonly referred to as grid dispersion), while “Bording’s. The Marmousi synthetic data set. The Marmousi synthetic data set (Bourgeois et al., ) was first released as a blind test for velocity estimation, but when the velocity model was revealed, it was discovered that many migration algorithms failed, so it has become a . Marmousi is a 2-D synthetic dataset generated at the Institut Français du Pétrole (IFP). The geometry of this model is based on a profile through the North Quenguela trough in the Cuanza basin. FIG. M Marmousi model. A 2D seismic model devised by the Institut Français du Petrole to test 2D migration algorithms. There is a hydrocarbon accumulation (and flat spot) in . The Marmousi II data set (Martin, Wiley and Marfurt ) is a 2D fully elastic model, which is widely used for many purposes including seismic imaging, AVO analysis and seismic inversion. This. possible to perform a major upgrade to the model and data set, thereby extending the usefulness of the model for, hope-fully, some time to come. This paper outlines the creation of an updated and upgraded Marmousi model and data set which we have named Marmousi2. We based the new model on the original Marmousi struc-.

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