A new logging-while-drilling azimuthal electromagnetic measurement for highly resistive coal mines

Abstract Logging-while-drilling (LWD) azimuthal electromagnetic measurement (AEM), capable of detecting and imaging formation structures around the wellbore, has become a vital tool for navigating complex reservoirs. However, this technology faces challenges such as weakened signals, significant noise interference, and reduced detection scope in highly resistive formations. To address these challenges, this paper presents a new LWD AEM method for highly resistive coal mines. The key distinctions from current AEM tools are the utilization of higher frequencies and extended coil spacing to ensure proper electromagnetic (EM) wave decay in resistive media. First, by stretching the distance between receivers to 10 and 20 inches (25.4 and 50.8 cm), a notable expansion of the upper limit of resistivity range is obtained. Additionally, the operating frequency has been increased to 5 MHz to boost the strength of phase-shift (PS) signal and reduce the noise effect. A boundary detection method based on high-frequency PS in highly resistive coal mines is then established, significantly improving signal strength and depth of detection. Various operating frequencies are also optimized to increase the effective curves in highly resistive formations. Finally, a coal mine LWD AEM tool design is designed, providing five effective resistivity curves and 12 effective geological signal curves for highly resistive formations. With a resistivity detection limit of 5000 Ω·m and a depth of detection limit of 4 m, this instrument serves as a solid foundation for advancing research and development in coal mine geosteering and instrumentation.

Authors

Institutions

Publication Details

Journal
Journal of Geophysics and Engineering
Published
2025-05-05
DOI
https://doi.org/10.1093/jge/gxaf056
Citations
3
Primary Topic
Geophysical Methods and Applications
Type
article
Field-Weighted Citation Impact
3.44

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A new logging-while-drilling azimuthal electromagnetic measurement for highly resistive coal mines

Weiping Ai, Zhenzhong Zeng, Nan Wang, Kailin Yang et al.
3 citations
Journal of Geophysics and Engineering
Geophysical Methods and Applications
3.44
article

A new logging-while-drilling azimuthal electromagnetic measurement for highly resistive coal mines

Weiping Ai, Zhenzhong Zeng, Nan Wang, Kailin Yang, Lei Wang, Hui Fang
article en
3 citations

Abstract

Abstract Logging-while-drilling (LWD) azimuthal electromagnetic measurement (AEM), capable of detecting and imaging formation structures around the wellbore, has become a vital tool for navigating complex reservoirs. However, this technology faces challenges such as weakened signals, significant noise interference, and reduced detection scope in highly resistive formations. To address these challenges, this paper presents a new LWD AEM method for highly resistive coal mines. The key distinctions from current AEM tools are the utilization of higher frequencies and extended coil spacing to ensure proper electromagnetic (EM) wave decay in resistive media. First, by stretching the distance between receivers to 10 and 20 inches (25.4 and 50.8 cm), a notable expansion of the upper limit of resistivity range is obtained. Additionally, the operating frequency has been increased to 5 MHz to boost the strength of phase-shift (PS) signal and reduce the noise effect. A boundary detection method based on high-frequency PS in highly resistive coal mines is then established, significantly improving signal strength and depth of detection. Various operating frequencies are also optimized to increase the effective curves in highly resistive formations. Finally, a coal mine LWD AEM tool design is designed, providing five effective resistivity curves and 12 effective geological signal curves for highly resistive formations. With a resistivity detection limit of 5000 Ω·m and a depth of detection limit of 4 m, this instrument serves as a solid foundation for advancing research and development in coal mine geosteering and instrumentation.

Journal of Geophysics and EngineeringVol. 22(4)
China Electronics Technology Group Corporation (CN), China University of Petroleum, East China (CN), China National Petroleum Corporation (China) (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 8%
Geophysical Methods and Applications
3.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.