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Data Analytics for Drilling Engineering pp 247–278Cite as

Signal Processing in Logging While Drilling

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

Abstract

Logging while drilling (LWD) technology can be roughly divided into three generations. Correlation with construction and formation evaluation; logging while drilling ensures that the logging data required to determine capacity and economy and reduce drilling risks can be collected. The target location is found in conjunction with wellbore imaging, formation dip and density data. These advances have led to high success rates for drilling of many types of wells, especially high-angle, super-long and horizontal wells. So far, serialized and complete sets of logging while drilling equipment have been developed, including electric logging while drilling, sonic logging while drilling, nuclear logging while drilling, formation pressure logging while drilling, NMR logging while drilling and seismic logging while drilling, etc.

Contributions by Zizhen Wang, China University of Petroleum (East) and Qilong Xue, China University of Geosciences (Beijing).

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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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Cite this chapter

Xue, Q. (2020). Signal Processing in Logging 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_7

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  • DOI: https://doi.org/10.1007/978-3-030-34035-3_7

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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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