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Data Processing and Mining in Seismic While Drilling

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Data Analytics for Drilling Engineering

Part of the book series: Information Fusion and Data Science ((IFDS))

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Abstract

Seismic While Drilling (SWD) is a well seismic method developed in recent years which is based on reverse vertical seismic logging. It is a newly-developed well seismic technology which combines the seismic exploration technology with petroleum drilling engineering technology. Compared to conventional VSP, SWD has its own characteristics and unique advantages in that it uses bit vibration in the process of drilling as the source for seismic measurement, without interfering with the drilling or occupying drilling time, and without any risk to the hole, especially the bit can be predicted in real-time structure details of the formation in front of the bit through the field seismic imaging processing, with the main purpose of reducing drilling risks. The key of this technology is how to collect and recover the weak bit reflection signal under strong disturbance noise and make it the equivalent formation impulse response.

Contributions by Fangtao Li, Jin Wang and Qilong Xue.

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Authors and Affiliations

  1. China University of Geosciences, Beijing, China

    Qilong Xue

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  1. Qilong Xue
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Xue, Q. (2020). Data Processing and Mining in Seismic While Drilling. In: Data Analytics for Drilling Engineering. Information Fusion and Data Science. Springer, Cham. https://doi.org/10.1007/978-3-030-34035-3_6

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  • DOI: https://doi.org/10.1007/978-3-030-34035-3_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34034-6

  • Online ISBN: 978-3-030-34035-3

  • eBook Packages: EngineeringEngineering (R0)

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