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Philosophy of Advanced Interpretations

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Safety in Offshore Drilling
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Abstract

The interpretation of high resolution seismic plays a crucial role in shallow gas operating procedures. The results and reliability of the shallow gas investigation however rely on the input to the seismic interpretation. In practice, this input varies, depending on the amount of additional seismic and geological information which is consulted to support the interpretation, and depending on the method of computer-based techniques which are employed to enhance quantitative aspects of the seismic data analysis.

The standard approach in shallow gas data interpretation is considered to include the use of exploration seismic and well data, and the use of interpretation programs that offer the facilities to interactively digitise, depth-convert and contour seismic horizon data. This standard approach should be complemented by employing more advanced interpretation tools. A primary requirement are interactive workstations which thereby are substantially enhancing the efficiency and accuracy of the seismic analysis by providing the ability to interactively interpret the data and measure seismic horizon attributes.

Our aim to improve the reliability of the shallow gas prediction can only be achieved by choosing an integrated approach which uses modem seismic processing and interpretation techniques, which is embedded in a seismic and geologic frame provided by exploration data. This will ultimately contribute to minimising the risks associated with shallow gas in offshore drilling.

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References

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© 1990 Society for Underwater Technology

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Meier, B.P. (1990). Philosophy of Advanced Interpretations. In: Ardus, D.A., Green, C.D. (eds) Safety in Offshore Drilling. Advances in Underwater Technology, Ocean Science and Offshore Engineering, vol 25. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0669-3_9

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  • DOI: https://doi.org/10.1007/978-94-009-0669-3_9

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6785-0

  • Online ISBN: 978-94-009-0669-3

  • eBook Packages: Springer Book Archive

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