Predictive Reservoir Understanding

The SIGMA³ Reservoir Characterization group delivers integrated workflows that provide a direct link between G&G and engineering needs, including the ability to predict well performance with a high degree of confidence. Complex G&G data is translated into a simple engineering result that can be used by geoscientists or completions engineers. These integrated workflows can replace cross-plotting analysis of engineering data versus seismic attributes, traditionally used to try to understand reservoirs.

SIGMA³ workflows make use of optimal processes to condition seismic data while preserving relative amplitude. State-of-the-art broadband spectral inversion provides high-resolution seismic that reveals new features unseen in the original data.

The log on the left shows the ties to the original data, but it is concealing a secret – a slump block of carbonate with a head wall scarp and a toe thrust that is not resolved by the data. Broadband spectral inversion shows the details that were buried in the original data in the relative-impedance section.

 

After broadband spectral inversion the enhanced frequency spectrum of the data provides optimum input to volumetric curvature and spectral attributes.

Volumetric curvature using original seismic is shown on the left. Use of proprietary spectral inversion techniques reveals small-scale faults as shown on the right.                                                                 

 

In order to represent data adequately, we guarantee a precise representation in time and depth of a structural framework. This ensures that our inversions honor structural complexity near the faults and provide an accurate representation of the reservoir heterogeneity. Our robust approach to building 3D geologic models of natural fracture density, Total Organic Content (using gamma ray as a proxy), porosity, and brittleness has proven to be successful when applied to different geologic settings worldwide.