Integrating Seismic, Well and Core Data for Stratigraphic Interpretation of Reservoir Architecture and Facies Distribution in Deepwater Slope Valleys: Landana Field, Block 14, Angola

Julian D. Clark¹, Oscar Yepes², Margret Pataki¹, and William Schweller^1
1Chevron, San Ramon, CA
²Chevron, Luanda, Angola

Complex stratigraphy in Deepwater Slope Valley systems can result in challenging reservoir architecture. The key to appraising and managing such reservoirs relies on gaining a thorough understanding of the stratigraphic complexity. This presentation shows how several different seismic characterization methods have been integrated with stratigraphic analysis of well and core data to evaluate the architecture from a variety of different data scales.

Spectral decomposition techniques and stratigraphic slicing of seismic edge detection volumes are two different seismic visualization techniques that lend themselves very well to identifying channel features at different scales. In this study these techniques have imaged channel complexes, and in some instances individual channel elements.

The seismic characterization of the stratigraphy has been integrated with an interpretation of the stratigraphic hierarchy and hierarchical net-to-gross analysis from well-log data. Core data was also incorporated to evaluate the facies of channel elements, and calibrate the well-log response of different facies. Integrating these different subsurface datasets and stratigraphic techniques has lead to a clearer understanding of the probability of sand distribution mainly within southeastern part of this reservoir where a recently drilled well confirmed presence of hydrocarbon-bearing sands.

AAPG International Conference and Exhibition, Cape Town, South Africa 2008 © AAPG Search and Discovery