Subsurface structural uncertainty can be sourced to errors in migration velocity models, which directly affect the position of migrated events. One of the reasons for these errors is limitations in the resolution of seismic data. These limitations result in non-unique velocity models, where multiple models can equally flatten the events in common image gathers. The resultant subsurface structural uncertainty can have a direct impact on reservoir reserves estimation, spill point and closures, and well planning across fault zones.
In this presentation, Dr. Elive Menyoli, Business Development Manager for Processing & Imaging solutions, features a tomographic approach for assessing and quantifying the impact of velocity model errors (perturbations) on subsurface fault zones and horizon-position errors. Key results of the technology are newly positioned target horizons/faults from the perturbed models that are kinematically equivalent and honor geophysical assumptions of gather flatness. For each horizon and fault, this leads to a set of possible (x, y, depth) locations of the structure that are directly fed into a subsurface modeling system (SKUA-GOCAD) for geologic validation and analysis.
The presentation will demonstrate powerful and easy-to-use tools and automated workflows that integrate the tomography and geologic modeling systems.