1887

Abstract

Summary

This paper explores a fast ray-based VSP imaging method and presents its application in the Distributed Acoustic Sensing VSP (DAS-VSP) P-wave and converted wave imaging. We use a multi-template fast- advancement algorithm (MSFM) to obtain the travel timetable for each shot-receiver pair, which is then summed for each shot-receiver pair before sorted at each depth. Given the number of common depth points (CDPs), the travel timetable is sorted by travel time. The field records are projected to the image domain via the sorted travel timetable. The projected wave field data is then stacked while the folds of projections at each position is calculated to obtain the average value of each position. The data and travel timetable are then converted one by one and stacked to form an imaging profile. By allowing flexible migration aperture, this method combines the advantages of both the VSP-CDP transform and migration. It focuses imaging near the reflection path, reduces migration artifacts, and addresses the problem of uneven coverage imaging amplitude by accounting for the fold of coverages during the imaging process. Using the grid ray tracing imaging method, DAS-VSP P-wave and converted wave imaging have been achieved in both numerical and field data examples.

© EAGE Publications BV
Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.2023629037
2023-09-18
2025-11-11

  • From This Site

    /content/papers/10.3997/2214-4609.2023629037
    dcterms_title,dcterms_subject,pub_keyword
    -contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution
    10
    5
Loading full text...

Full text loading...

References

  1. Paulsson, B. N. (2006). Development of a 400 Level 3C Clamped Downhole Seismic Receiver Array for 3D Borehole Seismic Imaging of Gas Reservoirs. Paulsson Geophysical Services Inc.
     [Google Scholar]
  2. Müller, K. W., Soroka, W. L., Paulsson, B. N., Marmash, S., Al Baloushi, M., & Al Jeelani, O. (2010). 3D VSP technology now a standard high-resolution reservoir-imaging technique: Part 1, acquisition and processing.The Leading Edge, 29(6), 686–697.
     [Google Scholar]
  3. Kuzmiski, R., Charters, R., & Galbraith, M. (2008). Processing considerations for 3D VSP.first break, 26(7).
     [Google Scholar]
  4. Blias, E., & B.Hughes. (2015). 3D VSP imaging: Some general problems.85th Annual International Meeting, SEG, Expanded Abstracts, 5630–5634.
     [Google Scholar]
  5. Etgen, J., Gray, S. H., & Zhang, Y. (2009). An overview of depth imaging in exploration geophysics.Geophysics, 74(6), WCA5–WCA17.
     [Google Scholar]
  6. Chen, Y., Zong, J., Liu, C., Cao, Z., Duan, P., Li, J., & Hu, G. (2023). Offshore subsurface characterization enabled by fiber-optic distributed acoustic sensing (DAS): An East China Sea 3D VSP survey example.Frontiers in Earth Science, 11, 1033456.
     [Google Scholar]
  7. Zhang, M., Zhao, X., Glenn, A., et al.. (2020) Q Estimation from Geophone and DAS VSPs, SEG Technical Program Expanded Abstracts, 475–478.
     [Google Scholar]
  8. Horne, S., Armstrong, P., Soulas, S., et al.. (2020) Deepwater DAS Walkaway VSP Analysis, SEG Technical Program Expanded Abstracts, 495–498.
     [Google Scholar]
  9. Mizuno, T., & Ali, S., Benchmarking DAS VSP migration methods with geophone VSP migration: Case study for the generalized Radon transform migration, SEG Technical Program Expanded Abstracts, 2021. 422–425.
     [Google Scholar]
  10. Wilson, G.A., Willis, M.E., Ellmauthaler, A.. (2021) Evaluating 3D and 4D DAS VSP image quality of subsea carbon storage, The Leading Edge, 261–265.
     [Google Scholar]
  11. Sethian, J. A. (1996). A fast marching level set method for monotonically advancing fronts.Proceedings of the National Academy of Sciences, 93(4), 1591–1595.
     [Google Scholar]
  12. SethianJ A. (1999) Level Sets Methods and Fast Marching Methods (Second Edition). Cambridge Univ.Press.
     [Google Scholar]
/content/papers/10.3997/2214-4609.2023629037
Loading
DAS-VSP Imaging Method: A Fast Ray-Based Approach Through Multi Template Fast Advancement Algorithm
Conference Proceedings 2023, 1 (2023); https://doi.org/10.3997/2214-4609.2023629037
/content/papers/10.3997/2214-4609.2023629037
/content/papers/10.3997/2214-4609.2023629037
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