1887
Volume 41, Issue 1
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397

Abstract

Abstract

Whilst designing an onshore seismic survey the geophysicist is principally concerned with geophysical parameters, such as the point and line spacing. The survey cost, however, cannot be ignored during this initial stage. In particular, weather can add significant cost to a survey. In this paper we show how the weather-related risk for seismic surveys in the Bowen Basin, Queensland, Australia, can be quantified using historical weather data. As well as allowing quantifiable risk determinations, such analyses can also be used to identify the most appropriate time of the year to acquire data. In the specific example given here we were principally impacted by rain. It is easily conceivable, however, that such analyses could be applied to areas where other weather impacts (e.g., snow) are important.

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2023-01-01
2024-04-18
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References

  1. Dean, T., Grant, M. and Pavlova, M. [2021a]. The efficient acquisition of high-resolution 3D seismic surveys for shallow open-cut mining. First Break, 39, 43–49.
    [Google Scholar]
  2. Dean, T., Grant, M. and Pavlova, M. [2021b]. A brief history of 3D seismic acquisition in BHP Coal and some predictions for the future. Proceedings of the 3rd Australasian Exploration Geoscience Conference.
    [Google Scholar]
  3. Morrice, D.J., Kenyon, A.S. and Beckett, C.J. [2001]. Optimizing operations in 3-D land seismic surveys. Geophysics, 66, 1818–1826.
    [Google Scholar]
  4. Steadman, R.G. [1975]. The Assessment of Sultriness. Part I: A Temperature-Humidity Index Based on Human Physiology and Clothing Science. Journal of Applied Meteorology, 18, 861–873.
    [Google Scholar]
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  • Article Type: Research Article
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