Abstract
Lithology identification during drilling has become a crucial foundation for assessing instability risks of mine roadways and optimizing support design. This study aims to improve the accuracy of lithological identification by constructing more effective comprehensive indicators. To achieve this, the analytical relationship between drilling parameters and rock strength was established, and the method was proposed to construct comprehensive indicators including Modulation Specific Energy (SEM) and Rock Drillability Assessment (RDA) based on drilling parameters. The effectiveness, stability, and correlation of the comprehensive indicators in lithological identification applications were investigated. A decoupling model based on regression analysis of the rate of penetration (v) and SEM was proposed. Finally, the superiority of decoupled comprehensive indicators in lithological prediction was validated using Fitcsvm. The results demonstrate that the accuracy of lithological prediction using comprehensive indicators can be improved to 84% by eliminating the influence of v on SEM. This study contributes to the improved accuracy and wider application of lithological identification models during drilling under different experimental conditions.
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Abbreviations
- b :
-
Contact length of the virtual base (mm)
- c mn(t):
-
N-th IMF component of the original signal
- c n(t):
-
The mean value of M IMFn
- d :
-
Cutting depth of the drill teeth (mm)
- EEMD:
-
Ensemble Empirical Mode Decomposition
- EMD:
-
Empirical Mode Decomposition
- F :
-
Thrust (N)
- F 1 :
-
The resultant force of indentation load and friction (N/unit width)
- F 2 :
-
Cutting force on the rake surface of the bit (N/unit width)
- g :
-
Axial vibration (m/s2)
- h :
-
Indentation depth of a drilling cycle (mm)
- ∆h :
-
Change in indentation depth (mm)
- IS :
-
Indentation strength (MPa/mm)
- IMF:
-
Intrinsic Mode Function
- l :
-
Distance from the bottom of the drill bit to any point on the failure surface
- m :
-
M-th order IMF obtained from the original signal
- M :
-
The number of EMD decomposition
- MWD:
-
Measurement while drilling
- M20 ~ M40:
-
Cement mortar specimens with a strength grade of 20 ~ 40 MPa.
- n :
-
N-th IMF component of the original signal
- N :
-
The number of IMF obtained by each EMD decomposition
- p :
-
Stress distribution at any point on the failure surface
- p 0 :
-
A constant determined from the equilibrium of forces
- p max :
-
Maximum stress load at the bottom of the drill bit
- P 1 :
-
Indentation friction (N/unit width)
- P 2 :
-
Main cutting force on the rake surface of the drill bit (N/unit width)
- PDC:
-
Polycrystalline diamond compact
- q :
-
The stress distribution coefficient of the failure plane
- Q 1 :
-
Indentation load (N/unit width)
- Q 2 :
-
Back cutting force on the rake surface of the bit (N/unit width)
- ∆Q 1 :
-
Change in indentation load (N)
- r :
-
Radius of bit blade (m)
- r 1 :
-
The outer radius of the bit (m)
- r 2 :
-
Inner radius of the bit (m)
- R :
-
Radius of drilling bit (m)
- R c :
-
Unconfined compressive strength (MPa)
- RDA:
-
Rock Drillability Assessment
- s :
-
Step length of a drilling cycle (mm)
- SEM:
-
Modulation specific energy
- SED:
-
Drilling specific energy (MJ/m3)
- T 0 :
-
Torque generated from the idle running of the drill bit (N·m)
- T :
-
Total torque when drilling (N·m)
- v :
-
Rate of penetration(m/s)
- x m(t):
-
Resulting signal after adding Gaussian white noise
- δ :
-
Changing rate of comprehensive indicators
- s 2 :
-
Variance
- ρ :
-
Correlation coefficient
- θ:
-
Blade angle of the bit (°)
- σ :
-
Normal stress on the failure plane (Pa/unit width)
- τ :
-
Shear stress on the failure plane (Pa/unit width)
- α:
-
The angle between the free plane and failure surface (°)
- γ :
-
The angle of shear crack development direction (°)
- φ i :
-
Internal friction angle of the rock (°)
- ω :
-
Rotational speed(1/s)
- \({\varepsilon }_{SEM}^{2}\) :
-
A new indicator that mitigates the impact of the rate of penetration on SEM
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Acknowledgements
The work was supported by the Natural Science Foundation of China (Grant Numbers 52274102) and the Postgraduate Research & Practice Innovation Program of Jiangsu Province (Grant Numbers KYCX23_2794).
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Highlights
The research mainly includes the following highlights
• We establish an analytical model between drilling parameters and rock strength.
• We optimally constructed comprehensive indicators for lithology identification while drilling.
• Analyzing the performance of comprehensive indicators in lithology recognition.
• We propose the decoupling method between control parameters and comprehensive indicators.
• Decoupling improves the accuracy and universality of lithology detection using comprehensive indicators.
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Xin, S., Jingyi, C., Zhijun, W. et al. Comprehensive indicators optimization construction and lithology measurement while drilling based on drilling parameters. Bull Eng Geol Environ 83, 222 (2024). https://doi.org/10.1007/s10064-024-03695-w
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DOI: https://doi.org/10.1007/s10064-024-03695-w