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A Spline Curve Fitting Model for Towed Streamer Positioning in Marine Seismic Exploration.

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A new spline curve model significantly improves towed streamer positioning accuracy in marine seismic exploration. This enhanced accuracy is vital for reliable seismic imaging, especially in complex, turning scenarios.

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Area of Science:

  • Geophysics
  • Marine Seismic Exploration
  • Data Acquisition

Background:

  • Accurate streamer positioning is critical for marine seismic exploration quality.
  • Current polynomial models show inaccuracies during streamer turns.
  • Reliable seismic imaging depends on precise streamer shape and position data.

Purpose of the Study:

  • To develop a more accurate positioning model for towed streamers.
  • To address the limitations of polynomial curve models in complex scenarios.
  • To enhance the reliability of seismic data analysis and interpretation.

Main Methods:

  • Constructing a spline curve model for streamer shape.
  • Implementing a segmented fitting approach with smoothness constraints.
  • Deriving error equations and calculation processes for parameters and coordinates.

Main Results:

  • The spline curve model demonstrated significant positioning accuracy improvements.
  • Simulations showed a 47.1% increase in accuracy with six streamers.
  • Field tests yielded 20.0% and 35.0% accuracy gains with six and ten streamers, respectively.

Conclusions:

  • The spline curve model effectively reduces modeling errors compared to polynomial models.
  • This model is particularly advantageous in high-curvature conditions during seismic operations.
  • The proposed method enhances the overall quality and reliability of marine seismic imaging.