SeisEdge AS · Sandnes, Norway

Examples show the difference

Seismic Case Study Portfolio

Eight case studies
Example 01 · Jurassic screening

Two-month target-oriented reprocessing

A modern public dataset was reprocessed with a focus on the Jurassic target interval. The objective was to deliver an improved dataset for prospect screening with a much shorter turnaround than a conventional reprocessing project.

1-month turnaround
Before · Vintage KPSDM
Before
After · Q-CRAM
After

The Q-CRAM result improved imaging of the Jurassic and Cretaceous intervals and produced a clearer dataset for screening and interpretation work.

Workflow / value: 5D regularization · Q estimation from drifts · well-derived velocity model · high-resolution tomography · Q migration

Open full example page →
Example 02 · Early Cretaceous Lange play

Improve imaging to reduce Early Cretaceous Lange play risk

This case highlights the impact of regularisation together with Q-aware processing. The objective is to stabilise the image, improve continuity and sharpen the target response without losing geological consistency.

Q + regularisation
Before · Vintage image
Before
After · Regularised + Q-aware result
After 

There is highly efficient workflow based on 5D regularization that addresses issues related to surface data coverage. It significantly reduces this noise, and makes the Early Cretaceous section interpretable.

Workflow / value: Regularisation · Q compensation · improved continuity · amplitude support

Open full example page →
Example 03 · Discovery support

Improved confidence in reservoir response

Brightening concentrated at the base of the reservoir on the vintage PSDM left uncertainty as to whether the seismic response was caused by lithology alone or reflected hydrocarbon presence.

Risk mitigated
pastedImage
Before · Vintage KPSDM stacks
pastedImage
After · Q-CRAM stacks

The reprocessed data showed a clearer response on both top and base reservoir, strengthening seismic support for the drilling decision and reducing the main amplitude-related risk.

Workflow / value: Amplitude-preserving imaging · Q compensation · near/far stack stability · clearer reservoir response

Open full example page →
Example 04 · Sub-BCU Imaging

Improved structural clarity below a challenging interval

This example shows a challenging structural setting where the reprocessed result sharpens target events and improves imaging below the disturbed section.

Sharper structure
Before · Vintage image
Before · Vintage image
After · Reprocessed result
After · Reprocessed result

The reprocessed section presents cleaner structure and stronger continuity in the deeper part of the section, helping interpreters understand the geometry below the main high-contrast interval.

Workflow / value: Better event continuity · improved structural definition · clearer deeper imaging

Open full example page →
Example 05 · Reservoir response

Sharper imaging of the target reservoir

This case study highlights how reprocessing can produce a sharper and more coherent reservoir image, enhancing the interpretability of key target events.

Improved coherence
Before · Vintage image
Before · Vintage image
After · Reprocessed result
After · Reprocessed result

The after-image displays a cleaner and more stable representation of the reservoir interval, supporting more confident interpretation and amplitude assessment.

Workflow / value: Stronger target image · improved continuity · more stable reservoir character

Open full example page →
Example 06 · Triple azimuth / multi-azimuth

Improved imaging using conventional multi-azimuth coverage

This example illustrates how triple-azimuth imaging of conventional data can improve the image of a structurally complex target. The emphasis is on improved resolution, continuity and imaging of steep dips.

Conventional data
Before · Conventional baseline image
Before · Conventional baseline image
After · Triple / multi-azimuth result
After · Triple / multi-azimuth result

The multi-azimuth result gives a more stable and geologically usable image around the main structure. It demonstrates how conventional data with broader azimuth coverage can help resolve complex imaging challenges.

Workflow / value: Triple azimuth · multi-azimuth conventional data · improved illumination · better steep-dip imaging

Open full example page →
Example 07 · Onshore deep structure

CRS KPSDM versus band-limited CRAM

In this land 3D example, the aim was to improve imaging in an area known for poor signal-to-noise ratio within the reservoir zones below the Neogene overburden.

Noise reduced
Before · CRS KPSDM
Before · CRS KPSDM
After · Band-limited CRAM
After · Band-limited CRAM

The CRAM result more clearly images steeply dipping events and fault planes while suppressing noise, improving understanding of the basin architecture and compartmentalisation of the reservoir units.

Workflow / value: Deep structural imaging · fault plane definition · suppression of deeper noise

Open full example page →

Source: Deep Structural Imaging in the Vienna Basin, First Break, Volume 41, Issue 12, Dec 2023, p. 31–35

Example 08 · Onshore reservoir resolution

Vintage CRS KPSDM versus high-frequency ES360

A vintage land 3D dataset was reprocessed to improve reservoir-level resolution using denoise, residual statics, 5D regularization, a well-derived velocity model, high-resolution tomography and Q migration.

Higher bandwidth
Before · Onshore CRS KPSDM
Before · Onshore CRS KPSDM
After · High-frequency ES360
After · High-frequency ES360

The high-frequency ES360 result enhanced the seismic bandwidth relative to the vintage KPSDM image, unlocking higher resolution and allowing more detailed interpretation within the reservoir interval.

Workflow / value: Denoise · residual statics · 5D regularization · well-derived velocity model · tomography · Q migration

Open full example page →