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Addressing Random Variations in MWD Penetration Rate with the DPM Algorithm

Author

Listed:
  • Siyuan Wu

    (Department of Civil Engineering, The University of Hong Kong, Hong Kong, China)

  • Xuefan Wang

    (Department of Civil Engineering, The University of Hong Kong, Hong Kong, China)

  • Zhongqi Quentin Yue

    (Department of Civil Engineering, The University of Hong Kong, Hong Kong, China)

Abstract

Measurement While Drilling (MWD) is an in situ technique for the assessment of ground conditions. It records the drilling parameters of a drilling machine when its drill bit is penetrating into new geomaterials below the bottom of a drill hole. Its penetration rate along drill hole depth, however, has various random variations. Such random variations are inconsistent with the fact that the geomaterials in the ground have piece-wise homogeneity. Many methods have been adopted to filter and normalize the random variations in penetration rate for ground characterization. However, they have not completely resolved the issue and obtained the piece-wise homogeneous distribution of geomaterials in the ground. This paper uses the time-series algorithm of the Drilling Process Monitoring (DPM) technique to remove the random variations in MWD penetration rate. It further obtains the piece-wise constant variations in the newly addressed DPM penetration rate along the drill hole depth. With this algorithm, the DPM penetration rate is consistent with the fact that ground geomaterials have the property of piece-wise homogeneous distribution. Consequently, the piece-wise constant variations in DPM penetration rate can be used to characterize the strength variations in geomaterials along the drill hole depth to substantially upgrade the MWD technique for ground investigation.

Suggested Citation

  • Siyuan Wu & Xuefan Wang & Zhongqi Quentin Yue, 2022. "Addressing Random Variations in MWD Penetration Rate with the DPM Algorithm," Sustainability, MDPI, vol. 14(20), pages 1-15, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13456-:d:946332
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