1887

Abstract

Summary

The purpose of seismic survey is to build a depth-velocity geological model based on the joint interpretation of seismic and well data. Seismic surveys provide uniform coverage of the studied area, and well data provide more complete and accurate information about the studied geological medium at a discrete set of points (well locations). Well data in conjunction with the analysis of seismic stacks and various attributes are used within one software on the seismic interpretation stage. At the same time, the stages of seismic processing and interpretation are historically separated by different software packages. This reduces the efficiency of teamwork within the same project. Therefore, a relevant objective is the development of convenient software tools for joint work. Ideally, work should be carried out in a single software environment in order to ensure effectiveness of teamwork during a project. Thus, the purpose of the study is to create a series of software tools whic are designed to facilitate the interaction between the stages of processing and interpretation.

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/content/papers/10.3997/2214-4609.202156023
2021-08-04
2024-04-20
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References

  1. 1.Aki, K., & Richards, P. G. [2002]. Quantitative seismology.
    [Google Scholar]
  2. 2.Cui, T., & Margrave, G. F. [2014]. Seismic wavelet estimation. CREWES Res Rep, 26, 1–16.
    [Google Scholar]
  3. 3.McInnes, L., Healy, J., & Melville, J. [2018]. Umap: Uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426.
    [Google Scholar]
  4. 4.Ostrovsky, R., Rabani, Y., Schulman, L. J., & Swamy, C. [2013]. The effectiveness of Lloyd-type methods for the k-means problem. Journal of the ACM (JACM), 59(6), 1–22.
    [Google Scholar]
  5. 1.Aki, K., & Richards, P. G. [2002]. Quantitative seismology.
    [Google Scholar]
  6. 2.Cui, T., & Margrave, G. F. [2014]. Seismic wavelet estimation. CREWES Res Rep, 26, 1–16.
    [Google Scholar]
  7. 3.McInnes, L., Healy, J., & Melville, J. [2018]. Umap: Uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426.
    [Google Scholar]
  8. 4.Ostrovsky, R., Rabani, Y., Schulman, L. J., & Swamy, C. [2013]. The effectiveness of Lloyd-type methods for the k-means problem. Journal of the ACM (JACM), 59(6), 1–22.
    [Google Scholar]
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