Software Pre-Stack Pro

Processing, analysis, and interpretation of seismic prestack data.

Pre-Stack PRO - High Performance Seismic Data Processing Solution

Pre-Stack Pro / Pre-Stack Pro_azimuthal

Pre-Stack Pro is a pre-stack seismic analysis software that combines pre-stack visualization, processing, and interpretation in one powerful platform. By having it on the desktop, one can QC data, improve data quality, and generate the exact stacks and attributes needed to target promising anomalies.

Seismic migration provides images of the subsurface that are eligible for structural and quantitative interpretation. Attributes derived from the seismic as, e.g., amplitudes (i.e. reflection strength), instantaneuous phase and frequency allow interpretation of lithology and horizon thicknesses, the AVA (amplitude versus angle) attributes intercept and gradient are needed for describing the dependence of reflection coefficient on pore-fluid, and geometrical attributes as slope and curvature help to highlight fault zones and channels.

Pre-Stack Pro is an HPC software solution that supports efficient computation even in case of very large input data sizes and provides a powerful visualisation for flexible interpretation of the results.

Pre-Stack Pro was developed at ITWM, department HPC, by using in-house HPC-components, as a highly-efficient render-kerel for the visualisation, a fast parallel filesystem and the parallelisation software for high scalibility GPI. Pre-Stack Pro has become a product of the spin-off company SharpReflections. At ITWM, we are currently working on the extension of applying Pre-Stack Pro processes to azimuthal data.

Zyklus seimsicher Daten nach der Migration
© Photo ITWM

Cycle of processing and analysis of migrated seismic data

Pre-Stack Pro_azimuthal

Demanded by the US-American onshore fracking business and by modern seismic multi-azimuth aquisition data processing and analysis must be extended to azimuthal data that provide an additional dimension because of the 2-dimensional relation between source and receiver trace coordinates. Multi-azimuth data illuminate the subsurface from all directions and by this provide better image quality. Even more, multi-azimuth data allow to extract azimuthally varying attributes that are related to, e.g., subsurface fracture sets and stress regimes, that both, in turn potentially reveal important properties of oil- and gas reservoirs.

Working with azimuthal data is not only a challenge because of the considerably increased size of the data sets. The higher dimensionality compared to conventional seismic leads to the fact that gathers are 3D volumes and, thus, not longer easy to visualize and to locate 2D objects. New concepts for visualising such data and to interpret data subsets in relation to the full data volume needs to be developed. The extension of algorithms to the higher dimensionality of the gathers is difficult for such methods that involve comparing traces to neighbours because of the more complicated 2D topology. Additionally, the coarse sampling of traces per azimuth sector (which is the case despite of the high fold for the combination of all azimuths) may easily lead to aliasing effects.

At ITWM, we are engaged in joint research with SharpReflections and oil companies to solve these challenges. The application to numerous data sets from industry guarantees practical relevance of our research.

Berechnete Vorzugsrichtungen
© Photo ITWM

Computed reference azimuth of the top-reservoir horizon.