Detection of Fluvial Systems Using Spectral Decomposition (Continuous Wavelet Transformation) and Seismic Multi-Attribute Analysis – A New Potential Stratigraphic Trap in the Carbonera Formation, LIanos Foothills, Colombia

Abstract

Since the discovery of the giant Cusiana oil field in Colombia, hydrocarbon exploration in the LIanos foothills has focused on structural traps in the hanging walls of thrust faults. There has been little exploration success in the footwall blocks, and most of the activity has been based on subtle structural traps.

Cusiana oil Field is considered one of the most important structural traps that produce oil from the Eocene Mirador Formation. In the LIanos foreland basin the main reservoir is the Carbonera Formation (C-1, C-7) which is Oligocene to Lower Miocene in age.

Using 3D high-resolution seismic data combined with well logs, we propose a set of prediction methods for complex fluvial reservoirs in the area south of the giant Cusiana oil field. The methods 1) use visualization and co-rendering of 3D seismic multi-attribute (Including RMS, Coherence, reflection strength) to predict sedimentary sub-facies, 2- uses time slices and horizon probes (Sculpture) to predict the configuration of the sandstone using 3D visualization techniques, 3- predicts the fluvial structures using spectral decomposition (CWT) with different wavelet (Morlet, Gaussian and, Mexican hat) and (RGB) blending of the frequency cubes. 4- Uses continuous wavelet transformation for evaluation of hydrocarbon reservoirs. 5- Uses multi-attribute analysis on the frequency cubes (frequency domain) to enhance stratigraphic features that are undetectable in time domain seismic data.

AAPG Datapages/Search and Discovery Article #90323 ©2018 AAPG Annual Convention and Exhibition, Salt Lake City, Utah, May 20-23, 2018