Geological and synthetic seismic modeling based on outcrop data: turbidite deposits of La Jardinera, southern region of the Neuqu{\'e}n Basin

Ariane Silveira and Paulo Paim and Mateus Vargas and Mathieu Moriss and Jose Eduardo Faccion. ( 2019 )
in: 2019 Ring Meeting, ASGA

Abstract

The representation of geological scenarios of three - dimensional numerical models produces excellent quantitative environments when compared to outcrop analogs and subsurface interpretative models. The comparison can be extended to the field of synthetic seismic, optimizing the interaction between outcrop data and subsurface data. The objective of this study is to generate, from outcrops data, a synthetic seismic cube usable as a surface and sub-surface analog. We collected data from the outcrops interpreted as turbidite deposits, in the Arroyo La Jardineira region, Neuquen Basin-Argentine. Jardineira Turbidites are well-known due to the excellent lateral and vertical exposure of facies and henceforth, facies associations. The study area encompasses 6.5 km wide x 12 km long, with 1000 m thick. The vertical succession is divided into four depositional sequences, corresponding to Los Molles Formation, the base of the Cuyo Group. For the 3D model, the object - based stochastic simulation technique was applied in the Gocad Platform to characterize the architectural elements and to condition the sedimentary facies. Each lithology was assigned to a proper sonic value. The synthetic seismic cube was generated using the convolutional modeling method using Ricker type wavelet of 25, 40, and 75 Hz. We interpret that Ricker type wavelet with 25 Hz frequency was the best representative of the model because it represents the different lithologies, and thus the seismic architecture of each modeled object.

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    BibTeX Reference

    @inproceedings{SilveiraRM2019,
 abstract = { The representation of geological scenarios of three - dimensional numerical models produces excellent quantitative environments when compared to outcrop analogs and subsurface interpretative models. The comparison can be extended to the field of synthetic seismic, optimizing the interaction between outcrop data and subsurface data. The objective of this study is to generate, from outcrops data, a synthetic seismic cube usable as a surface and sub-surface analog. We collected data from the outcrops interpreted as turbidite deposits, in the Arroyo La Jardineira region, Neuquen Basin-Argentine. Jardineira Turbidites are well-known due to the excellent lateral and vertical exposure of facies and henceforth, facies associations. The study area encompasses 6.5 km wide x 12 km long, with 1000 m thick. The vertical succession is divided into four depositional sequences, corresponding to Los Molles Formation, the base of the Cuyo Group. For the 3D model, the object - based stochastic simulation technique was applied in the Gocad Platform to characterize the architectural elements and to condition the sedimentary facies. Each lithology was assigned to a proper sonic value. The synthetic seismic cube was generated using the convolutional modeling method using Ricker type wavelet of 25, 40, and 75 Hz. We interpret that Ricker type wavelet with 25 Hz frequency was the best representative of the model because it represents the different lithologies, and thus the seismic architecture of each modeled object. },
 author = { Silveira, Ariane AND Paim, Paulo AND Vargas, Mateus AND Moriss, Mathieu AND Faccion, Jose Eduardo },
 booktitle = { 2019 Ring Meeting },
 publisher = { ASGA },
 title = { Geological and synthetic seismic modeling based on outcrop data: turbidite deposits of La Jardinera, southern region of the Neuqu{\'e}n Basin },
 year = { 2019 }
}