1887
Volume 39 Number 12
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397

Abstract

Abstract

This paper describes a unified automated pipeline for first break picking and acquisition geometry control with deep learning models. It consists of three global stages, which require minimal human intervention and can be fine-tuned for new surveys to further increase the quality of the result. Evaluation of this pipeline on the ongoing projects showed that it significantly sped up both tasks, while the quality of the result was on par with the traditional procedures, performed mostly manually.

Loading

Article metrics loading...

/content/journals/10.3997/1365-2397.fb2021093
2021-12-01
2024-04-23
Loading full text...

Full text loading...

References

  1. Jiang, W., Zhang, J. and Bell, L.
    [2019]. 3D seismic geometry quality control and correction by applying machine learning.Geophysics, 84(6), 87.
    [Google Scholar]
  2. Khudorozhkov, R., Illarionov, E., Broilovskiy, A., Kalashnikov, N., Podvyaznikov, D., Arefina, A. and Kuvaev, A.
    [2019]. SeismicPro library for seismic data processing and ML models training and inference.
    [Google Scholar]
  3. Kalashnikov, N.
    [2020]. Convolutional neural networks for first break picking in land seismic surveys.Conference Proceedings, EAGE 2020 Annual Conference & Exhibition Online, Dec 2020, Volume 2020, p.1–5.
    [Google Scholar]
  4. RonnebergerO., FischerP., BroxT.
    [2015]. U-Net: Convolutional Networks for Biomedical Image Segmentation. arXiv:1505.04597 [cs.CV].
    [Google Scholar]
  5. He, K., Zhang, X., Ren, S. and Sun, J.
    [2015]. Deep Residual Learning for Image Recognition. arXiv:1512.03385 [cs.CV].
    [Google Scholar]
  6. Roy, A.G., Navab, N. and Wachinger, C.
    [2018]. Recalibrating Fully Convolutional Networks with Spatial and Channel ‘Squeeze & Excitation’ Blocks. arXiv:1808.08127 [cs.CV].
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journals/10.3997/1365-2397.fb2021093
Loading
/content/journals/10.3997/1365-2397.fb2021093
Loading

Data & Media loading...

  • Article Type: Research Article
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