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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.
Volker Dirks, Head of Business Development for Imaging
Why reprocess: Rejuvenating existing data using modern processing techniques enables fast access to improved subsurface information.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.