Seismic attributes can be important predictors, either qualitative or quantitative, of reservoir
geometries when they are correctly used in reservoir characterization studies. This paper …

Time–frequency algorithms help discern and filter hidden information from signals but their
growing abundance induces non-uniqueness thus, complicating selection. Classification of …

Fluvial depositional systems accommodate a variety of primary stratigraphic-based trapping
pools (STP) such as the channelized sands (CS) and point bars (PB). When they are …

Pre-existing complex palaeobathymetry often plays a key role in the spatial-temporal
distribution and character of deepwater sedimentary systems. Particularly in deep-marine …

This study employs the different approaches of the spectral decomposition techniques to
evaluate the hydrocarbon potential of the reservoir and analyse to determine the most …

Seismic feature characterization in the time domain remains a challenge for geoscientists,
thus motivating transformation to the frequency domain. This study exposes an unreported …

The prediction of highly heterogeneous reservoir parameters from seismic amplitude data is
a major challenge. Seismic attribute analysis can enhance the tracking of subtle …

Seismic data are rich in information about subsurface formations and their pore content. This
information can be retrieved from the amplitude or frequencies of seismic signals. Spectral …

The growing number of seismic and elastic attributes poses a challenge, making the full
benefit from each attribute in characterizing geological formation very difficult, if not …

The resolution limit of seismic data is an intricate issue that depends not only on frequency
and data quality (signal-to-noise ratio) but also on the tools and technology used to analyze …