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The fixed-frame Ocean Bottom Node (OBN) site survey method presents a valuable opportunity to obtain reliable, ultra-high-resolution (UHR) imaging and detailed rock property data essential for offshore infrastructure installations. Compared to conventional UHR streamer acquisition, which requires significant equipment investment, the fixed-frame OBN method offers a more efficient and effective approach with several key advantages.
Traditional UHR streamer acquisition faces multiple limitations, including restricted acquisition speeds, constrained data offset and azimuth coverage, and higher operational costs. Additionally, these methods experience greater technical downtime compared to conventional towed-streamer systems and are more susceptible to weather-related standby delays. Further challenges include various noise sources such as flow noise, swell noise, bird noise, and strumming effects caused by towing, all of which degrade data quality.
In contrast, the fixed-frame OBN method significantly enhances spatial resolution by utilizing point receivers without array effects. Being stationary on the seabed, it eliminates positioning errors common in towed systems and improves signal-to-noise ratios by operating in a stable, low-noise environment. Furthermore, this method records both P-waves and S-waves, allowing for advanced seismic inversion techniques to derive accurate soil properties—critical for reducing risk and optimizing offshore infrastructure placement.
The fixed-frame OBN approach also enables full-azimuth and long-offset data acquisition, enhancing subsurface illumination, imaging aperture, and overall data quality. Additionally, it reduces downtime due to adverse sea conditions, as the system remains operational without dependence on continuous vessel movement. These advantages make fixed-frame OBN an efficient and reliable solution for high-precision offshore site surveys, improving decision-making and reducing project risks.
Contact us today to learn how the fixed frame OBN solution can help derisk your next offshore infrastructure project, while saving you money.
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With the industry's growing reliance on Full Waveform Inversion (FWI), there is an increasing demand for longer offsets around the Area of Interest (AOI) to improve
subsurface imaging. In large, typically multiclient surveys, project costs are primarily determined by acquisition parameters within the AOI. Many companies have explored cost-effective strategies, such as using dense towed-streamer data for the AOI and sparse Ocean Bottom Node (OBN) data over the surrounding FWI halo.
However, for smaller proprietary or development surveys, acquisition costs are more
directly influenced by the geometry required for the FWI area. Mobilizing both streamer
and OBN crews becomes prohibitively expensive, making a combination of dense OBN
deployment over the AOI and sparse OBN coverage in the FWI halo a more practical
alternative.
To further reduce costs, we propose implementing a variable-density spiral acquisition
method, which optimizes both efficiency and data quality. This approach incorporates
variable-density line spacing and variable crossline source spacing, enabling high-
density shot coverage in the AOI while improving cost efficiency in the surrounding FWI
halo. Unlike traditional acquisition methods that create abrupt transitions between the
AOI and halo—often leading to under sampling at the boundary and oversampling in the
halo—this method provides a smooth, optimized transition, eliminating unnecessary
costs.
Additionally, compared to conventional straight-line surveys, a spiral acquisition design
can reduce shooting time by approximately 50%, significantly cutting operational costs
while maintaining high-resolution imaging and ensuring robust FWI performance.
Contact us today to see if your survey could benefit from a variable-density spiral shot
acquisition or try out our variable spiral survey design wizard in TesserACT.
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While some Compressive Sensing (CS) algorithms achieve efficiency by selectively
removing sources and/or receivers from a pre-defined survey grid, ACTeQ’s method
introduces randomization along survey lines, dynamically adjusting point spacing rather
than simply removing predefined points.
By specifying an average point spacing rather than adhering to a rigid grid, ACTeQ’s
approach enables a controlled reduction in the total number of shots and/or receivers
while maintaining high-quality data reconstruction. This method enhances acquisition
efficiency by minimizing redundancy, improving survey flexibility, and reducing
operational costs without compromising imaging integrity. Additionally, randomization
helps mitigate aliasing effects and enhances the performance of 5D interpolation
techniques, leading to more robust seismic imaging results.
Our patented CS method is available for licensing and offered at a discount to all
TesserACT users, ensuring cost-effective, high-performance survey solutions.
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Over the past five years, ACTeQ has developed extensive expertise in managing
complex and irregular survey geometries shaped by environmental and operational
challenges. With the rise of advanced processing techniques such as Full Waveform
Inversion (FWI) and Compressive Sensing (CS), traditional survey evaluation
metrics—such as minimum offset and fold—are no longer sufficient for predicting the
success of imaging workflows that incorporate 5D interpolation.
While Mutual Coherence (MC) has been used to address this challenge, it assesses
source and receiver reconstructions independently, often leading to ambiguous results.
To overcome these limitations, ACTeQ has introduced a new survey design metric:
Adequately Constructed Time (ACT). ACT represents the point at which the Fresnel
zone is adequately sampled, ensuring that 5D reconstruction is feasible and optimized
for high-quality imaging.
ACTeQ believes that ACT is a useful metric allowing comparison of competing survey
designs and we are pleased to share this metric as Open Source and available for use
with permission. Please contact Brandon Mattox now for technical details of ACT or to
discuss how ACT can be used on your next 3D project or try out ACT in TesserACT
today.