Creating The Premier Energy Data Company

PGS and TGS have merged to form a pioneering data and services company in the energy sector, serving customers across the energy value chain and positioning itself as a strategic partner for energy companies. Explore our vision. 

#SmarterTogether

Imaging

wave imagewave image

Reliable subsurface information enables our customers to make timely decisions.

Volker Dirks, Head of Business Development for Imaging

Trending

Skip all
Skip all
#SmarterTogether

A specialized imaging toolbox for evolving energy needs

Chapter Index

Subsurface Information Faster

Why reprocess: Rejuvenating existing data using modern processing techniques enables fast access to improved subsurface information.

FSB Vision

Legacy data was reworked in close collaboration with client and employing the latest signal processing, velocity model building and imaging technologies, including advanced demultiple, FWI, and prestack depth imaging.

Reprocessing delivers greater detail from shallow to deep resolving the fault systems, shallow injectities, alluvial deposits, and intrusive and extrusive volcanic, enabling accurate appraisal of hydrocarbon potential. 

Great detail is revealed in the reprocessed depth slice with a more varied velocity field that conforms well with local geological structures. 

Julien Oukili

Connect with Julien to learn more about the value of data rejuvenation and the specific imaging techniques and tools used in the FSB case study.

Geophysical Support Manager Eastern Hemisphere

Imaging Complex Geology

Why OBN for complex geology: Rich azimuthal coverage delivers full illumination, long offsets provide accurate velocity information and OBN delivers good S/N for reservoir quantification.

Santos Basin

The challenge here is imaging a presalt reservoir beneath a complex overburden. Robust phase and amplitude-compliant data conditioning combined with multiparameter FWI and azimuth sectored RTM enables the generations of high-fidelity images for detailed reservoir characterization and rock property estimation. Illumination issues have been corrected using LSM.

RTM and LSM comparison. Least-Squares Migration optimizes spatial resolution and improves subsurface illumination leading to more robust AVA behavior. PGS offers both data and frequency domain implementations of LSM.

Jon Burren

Connect with Jon to learn more about the benefits of using azimuth-rich OBN data for imaging the complex subsurface and the value Least-Squares Migration can add.

Geophysical Support Manager Western Hemisphere

Resolving the Near Surface

Why high-resolution for shallow imaging: Near surface understanding is required for shallow prospectivity, CCS and wind. Using multiples from sea-surface reflections delivers near-offset information.

Gulf of Mexico OBN

New acquisition in this area is restricted so our solution is to reprocess legacy 3D OBN data using our innovative SWIM technology. This uses multiples to generate ultra-shallow images revealing details not seen before.

Rachel Collings

Connect with Rachel to learn more about the unique SWIM technology and the difference it makes in resolving the very shallow overburden for both CCS and Wind applications.

Imaging Manager NSA

Prospectivity in Mature Areas

Why MAZ is valuable for ILX: To find leads and prospects tied back into existing infrastructure and legacy data needs to be conditioned for reliable AVA analysis. Adding a broader bandwidth dataset adds low frequencies essential for reliable reservoir characterization.

Viking Graben

Close collaboration with the client to deliver optimal multiazimuth reservoir properties such as acoustic impedance and porosity. Rejuvenated and conditioned dataset reveals potential Upper Jurrasic reservoir sands with porosity exceeding 18%, these were totally unresolved on legacy data.

Legacy and reprocessed seismic with porosity overlaid, high porosity is shown in red. 

Improvements in porosity assessment

On the images to the left, green and yellow/red colors indicate the thickness of potential reservoir sands with a porosity above 15%. The left-hand side shows legacy data where no reservoir sand was identified. The right-hand side shows new multiazimuth data with potential new prospect locations.

Roberto Ruiz

Connect with Roberto to learn more about this Viking Graben case study and how broader bandwidth GeoStreamer data enables the reliable estimation of porosity and helps delineate potential reservoir sands.

Project Geoscientist

Get in Touch!

Reach out to Anders Jakobsen, our SVP of Imaging, for more information about our specialist imaging toolbox and how working with PGS collaboratively can help you advance your subsurface knowledge for your evolving energy needs.

5 Reasons to Work with Us

  1. 1We prefer to reveal not conceal: Transparent operational processes.
  2. 2We work with you as well as for you: Collaboration for success.
  3. 3We take on the tough stuff: Mastering subsurface complexity.
  4. 4We even make our competitors data look good: Rejuvenation of any data source.
  5. 5See more from the seafloor: Proven OBN processing.