1887

Abstract

Summary

Logging-while-drilling (LWD) resistivity measurements are valuable for coal mine formations, but commercial instruments are limited to resistivities below 500 Ω•m, whereas coal mines often have resistivities between 10 and 10,000 Ω•m. Horizontal well logging in coal mines is challenging due to non-homogeneous environments caused by low-resistivity drilling fluid and instruments operating near the borehole base, leading to calibration errors. The LWD resistivity measurement relies on electromagnetic (EM) wave propagation, but in highly resistive formations, the slow EM wave attenuation results in minimal differences between coaxial receivers, inaccurately reflecting resistivity variations. Additionally, factors like instrument eccentricity and borehole size disrupt EM field symmetry, introducing signal uncertainty. This paper optimizes LWD resistivity instrument parameters for high-resistivity detection in coal mines and models the effects of borehole size and drilling fluid resistivity on measurements in horizontal wells, providing insights into resistivity calibration in challenging environments.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.2025101055
2025-06-02
2026-02-10
Loading full text...

Full text loading...

References

  1. Bargach, S.R., Falconer, I.G., Maeso, C. and Rasmus, J.C. [2000] Real-Time LWD: Logging for Drilling. Oilfield Review, 12, 57–78.
    [Google Scholar]
  2. Chen, G., Li, Q.X., Liu, Z.Y., Chen, L. and Zhang, Y. [2023] Detection method of coal-rock interface and low-resistivity anomalous body based on azimuth electromagnetic wave. Applied Geophysics, 20, 157–166.
    [Google Scholar]
  3. Dupuis, C. and Denichou, J.M. [2015] Automatic inversion of deep-directional-resistivity measurements for well placement and reservoir description. Leading edge, 34, 504–512.
    [Google Scholar]
  4. Gorbatenko, AA. and Sukhorukova, K.V. [2016] High-frequncy induction logging in deviated and horizontal wells: Geosteering and inversion. Rssian Geology and Geophysics, 57, 1111–1117.
    [Google Scholar]
  5. Hu, Y.Y. and Sun, Q.T. [2021] Modeling of triaxial induction logging responses in multi-layered anisotropic formations. Geophysics, 86, E305–E314.
    [Google Scholar]
  6. Kang, Z.M., Ke, S.Z., Li, X., Mi, J.T., Ni, W.N. and Li, MY. [2018] 3D FEM simulation of responses of LWD multi-mode resistivity imaging sonde. Applied Geophysics, 15, 401–412.
    [Google Scholar]
  7. Shahriari, M. and Pardo, D. [2020] Borehole resistivity simulations of oil-water transition zones with a 1.5D numerical solver. Comput Geosci, 24, 1285–1299.
    [Google Scholar]
  8. Wang, L. and Fan, Y.R. [2019] Fast inversion of logging-while-drilling azimuthal resistivity measurements for geosteering and formation evaluation. Journal of Petroleum Science & Engineering, 176, 342–351.
    [Google Scholar]
  9. Wu, Z.G., Li, H., Han, Y.J., Zhang, R.R., Zhao, J. and Lai, Q. [2022] Effects of formation structure on directional electromagnetic logging while drilling measurements. Journal of Petroleum Science and Engineering, 211, 110118.
    [Google Scholar]
  10. Xu, W., Ke, S.Z., Li, A.Z., Chen, P., Zhu, J. and Zhang, W. [2014] Response simulation and theoretical calibration of a dual-induction resistivity LWD tool. Applied Geophysics, 11, 31–40.
    [Google Scholar]
/content/papers/10.3997/2214-4609.2025101055
Loading
/content/papers/10.3997/2214-4609.2025101055
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error