Take the Software Tour

Parallel storage

We store and access complete pre-stack datasets on parallel storage servers. Each processor reads and writes parts of a larger file, speeding I/O dramatically.

Global shared memory

We use Fraunhofer’s GPI to create an aggregated memory architecture. You can load large gather subsets to memory, work with raw and processed gathers and multiple stacks in a common data pool.

CPU visualization

PreStack Pro is Cloud Ready. We render graphics on the server, and send high-frame-rate streams to your client. You can access the application from anywhere, using a standard office PC.

Coded for multi-core

Workstation systems now ship with up to 32 cores, and have plenty of firepower for routine tasks. Larger systems provide even more throughput, and can be shared by multiple concurrent users.

Compare Multiple Stacks

Stacks and gathers

Gather view

Interactive stack/mute

Small changes to stack mutes can have surprisingly big effects.

In PreStack Pro you can see how each offset or angle trace contributes to the stack – in 3D, in real time. If it’s degrading the image, you can mute it away.

Big improvements in data quality can sometimes be achieved without any additional gather processing.

Make new stacks, while you watch

We work with horizons and velocity data, so that you can focus on target events in the angle domain.

PreStack Pro can apply angle mutes, generate angle gathers and deliver custom angle stacks and AVA attributes for interpretation.

Why pay extra for these products, when you can make them yourself?

Surgical high-res Radon

PreStack Pro’s high-resolution Radon transform accurately targets multiples with small differential moveout, without the primary leakage seen with the conventional transform.

Our interactive mute tool helps you target and confidently remove these events, as well as other forms of dipping or aliased noise remaining after migration.

Smarter random noise removal

Good science matters.

We offer an array of image processing techniques for removing random noise from 2D and 3D datasets and improving AVO amplitude integrity.

• 2D anisotropic diffusion filters reduce offset-dependent noise before stacking, without distorting wavelets.
• 3D Dip/azimuth-steered median and diffusion filters dramatically reduce random noise on stacks and speed automated interpretation.
• PreStack Pro’s modern parallel compute engine even has the throughput needed to filter each offset class independently, and reassemble as noise-cancelled gathers.

All those steps simply produce one thing: reliable data.

Most seismic data are processed to optimize image quality. After standard processing, residual moveout, wavelet stretch, and transmission losses may be obvious on gathers.

If they aren’t corrected, AVO reliability and pre-stack inversion results will suffer.

Gather flattening

PreStack Pro can apply automatic, continuous velocity picking to raw migrated gathers, or correct for residual moveout that remains after final processing.

Large velocity errors can be corrected using semblance-based RMO (2nd and 4th-order), which perturbs input velocity data and outputs gathers and updated velocities/ETAs. Gather alignment can be further improved by estimating and applying time-variant 3D time shifts that maximize cross-correlation in the offset direction.

Both methods incorporate inline/crossline filtering of the time shifts or updated velocity fields, to ensure spatial consistency of the flattened gathers

Frequency and amplitude balancing

Even after careful “true-amplitude” processing, real gathers may require additional amplitude and frequency balancing in order to match the AVO response predicted from wells.

Spectral balancing matches the frequency distribution across offsets and minimizes NMO stretch, while still preserving the AVO amplitude trend.

Our offset-dependent scaling tools construct simple, offset-dependent gaining functions by calibrating AVO response to trends predicted from synthetic gathers.

Our workflow engine manages the flow of data from disk to RAM, so you can process complete 3D surveys with any hardware setup.

Reuse any batch flow by loading it and selecting new data.

We encourage sharing – send colleagues a small settings file and they can apply it to their project. Customize any process just by opening it in the flow manager. After you’ve made changes to the setting, save it.

Build a library of workflows, and share what works.

Running batch on whole survey

Instead of manually performing each processing task, save and run the complete sequence as one batch action.

From your original stacked interpretation, you can create pre-stack horizons, extract pre-stack amplitudes, and display them as data rich maps.

Our pre-stack map viewer displays amplitudes for millions of offset or angle traces, across the entire 3D survey. The results will help you identify spatial changes in AVO amplitude, and target hydrocarbon anomalies.

Make better informed decisions on your prospects, confident that you’ve looked at ALL the data.

Select volume and attributes

Snap horizon to gathers

Map results

Map polygons

Cross-plot inputs may be selected from any map, horizon attribute, or 3D volume.

Unlimited polygon sub-regions may be defined in map or seismic views. Cross-plot pairs from multiple polygons can be added to a single cross-plot window and coded by polygon color.

Mask

Polygons may be defined in any cross-plot viewer and used to generate masking functions, to identify the associated points in map and seismic viewers.

Masks are updated dynamically, so changes in polygon shape or location are immediately updated in the mask.

Overlays / attribute projections

Trend lines and other overlays may be defined in cross-plots windows and used to generate custom attributes from linear combinations of the cross-plotted points. These are useful for delineating fluid and lithology trends in the seismic data.

Pre-stack inversion

PCube is a pre-stack inversion method developed by Equinor (previously Statoil) and the Norwegian University of Science and Technology (NTNU).

The method computes the probabilities for different lithology-fluid classes from seismic data and geological knowledge.

What you need to run PCube

For PCube inversions, you need:

• Litho-Fluid (LF) classes from log-measured elastic rock properties
• A background model of multiple zones and A-priori assumptions on likelihood of finding each LF class by zone
• Partial angle stacks or limited-fold angle gathers
• Wavelets extracted from each angle stack being used in the inversion

What you get

Results are output as 3D probability cubes, which predict the likelihood for each Lithology-Fluid class in every seismic sample.

Seed and track

Our parallel, in-memory architecture dramatically accelerates automated interpretation.

Just drop in a few seed points, and let it fly. Change any tracking parameter, and see the result on the full survey in seconds.

QC and edit

QC and error correction are key to successful auto-tracked interpretation.

We take a fresh approach to QC, and have improved the standard editing tools to accelerate error correction.

Filter and grid

Despiking and median filtering with or without interpolation. Three gridding methods are included: Inverse Distance Weight, Moving Average, and ABOS.

Extend to pre-stack gathers

Extend any stacked horizon to pre-stack gathers for high-definition amplitude work. The PreStack Pro AVO-friendly algorithms can fit horizons to specific pre-stack events, or extract within windows to deal with high noise levels or preserve phase changes.
Results can be displayed as pre-stack amplitude maps, or as a stack of amplitude maps computed at every incidence angle.