Volume 39 Number 6
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397
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New node design enabling higher density seismic acquisition could be a game changer, Page 1 of 1

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  1. Brooks, C., Ourabah, A., Crosby, A., Manning, T., Naranjo, J., Ablyazina, D., Zhuzhel, V., Holst, E., and Husom, V.
    [2018]. 3D field trial using a new nimble node: West Siberia, Russia.SEG Technical Program, Expanded Abstracts, 6–10.
    [Google Scholar]
  2. Crosby, A., Manning, T., Ourabah, A., Brooks, C., Dieulangard, D., Quigley, J., Vasile, C., and Ablyazina, D.
    [2020]. In-field quality control of very high channel count autonomous nodal systems.SEG Technical Program Expanded Abstracts: 46–50. https://doi.org/10.1190/segam2020-3425467.1
    [Google Scholar]
  3. Curtis, A., Gerstoft, P. , Sato, H., Snieder, R. and Wapenaar, K.
    [2006]. Seismic interferometry—turning noise into signal.The Leading Edge, 25, 1082–1092. https://doi.org/10.1190/1.2349814
    [Google Scholar]
  4. Davies, D.M. and Ibram, M.
    [2015]. Evaluating the Impact of ISS HD-OBC Acquisition on 4D Data:77th Conference & Exhibition, EAGE, Extended Abstracts.
    [Google Scholar]
  5. Dvorak, M., Howe, D., Allen, T., Buddery, D., Foster, M., Manning, T. and Pfister, M
    [2013]. EAGE Conference Proceedings, 75th EAGE Conference & Exhibition incorporating SPE EUROPEC 2013, Jun 2013, cp-348–00584. DOI: https://doi.org/10.3997/2214-4609.20130086.
    [Google Scholar]
  6. Dean, T., Tulett, J. and Barnwell, R.
    [2018]. Nodal land seismic acquisition: The next generation, First Break, 36, 47–52
    [Google Scholar]
  7. Howe, D., Foster, M., Allen, T., Taylor, B. and Jack, I.
    [2008]. Independent Simultaneous Sweeping – a method to increase the productivity of land seismic crews.SEG Annual Meeting, Technical Program Expanded Abstracts 2008, 2826–2830.
    [Google Scholar]
  8. Manning, T., Brooks, C., Ourabah, A., Crosby, A., Popham, M., Ablyazina, D., Zhuzhel, V., Holst, E., and Goujon, N.
    [2018]. The case for a nimble node, towards a new land seismic receiver system with unlimited channels.SEG Technical Program, Expanded Abstracts, 21–25.
    [Google Scholar]
  9. Ourabah, A., Grimshaw, M., Keggin, J., Kowalczyk-Kedzierska, M., Stone, J., Murray, E., Cooper, S. and Shaw, L.
    [2014]. Acquiring and imaging Ultra High Density land seismic data – Practical challenges and the impact of spatial sampling.EAGE 2014 Conference & Exhibition, Abstract
    [Google Scholar]
  10. Ourabah, A., Crosby, A., Brooks, C., Manning, T., Lythgoe, K., Ablyazina, D., Zhuzhel, V., Holst, E. and Knutsen, T.
    [2019]. A comparative field trial of a new nimble node and cabled systems in a desert environment.81st Conference & Exhibition, EAGE, Expanded Abstracts.
    [Google Scholar]
  11. Ourabah, A., Bradley, J., Hance, T., Kowalczyk-Kedzierska, M., Grimshaw, M. and Murray, E.
    [2015]. Impact of acquisition geometry on AVO/AVOA attributes quality – A decimation study onshore Jordan:77th Conference & Exhibition, EAGE, Extended Abstracts.
    [Google Scholar]
  12. Ourabah, A. and Crosby, A.
    [2020]. A 184 million traces per km2 seismic survey with nodes – Acquisition and processing:SEG International Exposition and 90th Annual Meeting, Extended Abstracts
    [Google Scholar]
  13. Poulain, G., Garceran, K., Grimshaw, M., Le Meur, D., Murray, E., Kowalczyk-Kedzierska, M., Cooper, S. and Ourabah, A.
    [2014]. Surface Consistent Processing of a full-azimuth dataset: the challenges and solutions.EAGE 2014 Conference & Exhibition, Abstract.
    [Google Scholar]
  14. YitaoPu and XueliZhang
    [2018]. Application of deep learning in first break picking of seismic data. SEG Global Meeting Abstracts: 19–21. https://doi.org/10.1190/AIML2018-05.1
    [Google Scholar]
  15. YorkZheng, QieZhang, AnarYusifov and YunzhiShi
    [2019]. Applications of supervised deep learning for seismic interpretation and inversion.The Leading Edge, 38, 526–533.https://doi.org/10.1190/tle38070526.1
    [Google Scholar]

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