Abstract

Conventional interpretation workflows today require a limited number of key horizons to be mapped to construct generalized geologic models. The result is that gigabytes of data are often reduced to just a few kilobytes of interpreted data on which key economic decisions are made. An improvement in interpretation can be achieved by greatly increasing the number of mapped horizons. However one of the biggest benefits of having a dense set of horizons is related low frequency model building that can improves the quality of seismic inversion for better reservoir characterization and enhances the accuracy of imaging the reservoir geometry along with proper facis distribution. The dense set of auto-tracked correlated horizons from the dip-steered volume is called a Horizon Cube. Each horizon in the Horizon Cube represents a relative geologic time line.