1887

Abstract

Summary

The Cuu Long Basin is characterized by a number of complex features, including shallow reefs, channels, thin coal layers, and fractured basement that cause strong and rapid velocity and acoustic impedance changes. This results in the occurrence of surface-related and interbed multiples. Moreover, the operational limitations of marine acquisition, such as the lack of near-offset recording and wide streamer towing, pose challenges for predicting surface and internal multiples.

In this paper, we show data- and deterministic-driven wave-equation-based workflow focused on an effective prediction and attenuation of surface and internal multiples present in the field data. Our method shows improved image response with reduced crosstalk due to multiples, expanding the data bandwidth and signal-to-noise ratio, revealing relevant features directly associated with better extraction of attributes at the target zone.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202477164
2024-11-20
2026-02-11

  • From This Site

    /content/papers/10.3997/2214-4609.202477164
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Dragoset, B., Moore, I., Yu, M., Zhao, W. [2008] 3D General surface multiple prediction: an algorithm for all surveys. SEG Technical Program Expanded Abstracts, 2426–2430.
     [Google Scholar]
  2. Kostov, C., Xavier de Melo, F., Raj, A., Zarkhidze, A., Cooke, A., Miers, G. and Bacon, J. [2015] Multiple attenuation for shallow-water surveys: Notes on old challenges and new opportunities. The Leading Edge, 34(7), 760–768.
     [Google Scholar]
  3. Wu, J., Wu, J. Z., Xavier de Melo, F., Lapilli, C. M., and Kostov, C. [2020] Internal multiples prediction with separation of overburden and target applied to a shallow water streamer dataset. SEG Technical Program Expanded Abstracts, 3174–3178.
     [Google Scholar]
  4. Lapilli, C., Kostov, C., Rushdy, A., Nichols, D., Xavier de Melo, F. and Clapp, R., [2019] Pattern-matching adaptive subtraction with nonstationary prediction-error filters: Requirements for applications to high-dimensional data sets. SEG Technical Program Expanded Abstracts, 4530–4534.
     [Google Scholar]
/content/papers/10.3997/2214-4609.202477164
Loading
Effective Ultra-Shallow Water Multiple Attenuation Based on Wave-Equation Predictions and Multidomain Adaptive Matching
Conference Proceedings 2024, 1 (2024); https://doi.org/10.3997/2214-4609.202477164
/content/papers/10.3997/2214-4609.202477164
/content/papers/10.3997/2214-4609.202477164
Loading

Data & Media loading...

Most Cited This Month Most Cited RSS feed

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error