Título

Application of Spectral Decomposition Methods to the Definition of Stratigraphic Features Associated with Channel Reservoirs in the Southeast Petroleum Province, México

Autor

FERNANDO ALVAREZ SAN ROMAN

Nivel de Acceso

Acceso Abierto

Resumen o descripción

Spectral decomposition transforms seismic data into

the frequency domain via mathematical methods such as the discrete

Fourier transform, S-transform, time–frequency continuous

wavelet transform and continuous wavelet transform. The transformed

results include tuning cubes and a variety of discrete

common frequency cubes, which reveal structural and stratigraphic

features, such as channels, thin bed reflections, and subtle faults.

When a spectral decomposition algorithm is applied to seismic

reflection data, it breaks down the seismic signal into its frequency

components and this allows visualization of the data at specific

frequencies, and identification of stratigraphic and structural features

that would otherwise be overlooked in full bandwidth

displays. The stratigraphic features delineated through the different

algorithms, such as channels and their sedimentary facies, could be

related to the presence of reservoir rock, i.e., underground rock

units where the oil migrates and accumulates. An example from the

Southeast Petroleum Province in México is presented.

Fecha de publicación

25 de septiembre de 2018

Tipo de publicación

Artículo

Formato

1

application/pdf

Idioma

Inglés

Repositorio Orígen

Repositorio Institucional de la Universidad Juárez Autónoma de Tabasco

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