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
Materias
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
Recurso de información
Formato
1
application/pdf
Idioma
Inglés
Repositorio Orígen
Repositorio Institucional de la Universidad Juárez Autónoma de Tabasco
Descargas
0