DocumentCode
1165654
Title
Attenuation predictions at extremely low frequencies for measurement-while-drilling electromagnetic telemetry system
Author
Xia, M.Y. ; Chen, Z.Y.
Author_Institution
Inst. of Electron., Acad. Sinica, Beijing, China
Volume
31
Issue
6
fYear
1993
fDate
11/1/1993 12:00:00 AM
Firstpage
1222
Lastpage
1228
Abstract
Extremely low frequencies (ELFs) are employed to transmit data from underground to the ground surface in the measurement-while-drilling electromagnetic (MWD-EM) telemetry system. Based on electromagnetic field theory, the present work is aimed at predicting the receivability of the signals at the surface. A unified analytic method that is suitable for vertical, directional, or horizontal wells is presented. Attenuation properties are examined for various parameters, including the Earth´s conductivity, operating frequency and the length of the drill string. The frequency dependence of the receivability in reference to a noise level is illustrated for different depths of well and different cases. It is also demonstrated that the electric field distributions at the surface have the same features for the three types of well, and that the measurements should be carried out near the well heads for any type of well. A scale model experiment is made to test the authors´ theoretical results. The measured data and the computed results are comparable
Keywords
geophysical prospecting; geophysical techniques; radio links; telemetering; terrestrial electricity; ELF; attenuation prediction; borehole method; data acquisition; data telemetry; electric field distribution; electromagnetic field theory; extremely low frequency; geoelectric; geophysical measurement technique; measurement-while-drilling electromagnetic telemetry system; radiowave propagation; receivability; terrestrial electricity; underground; well drilling; Attenuation; Conductivity; Earth; Electric variables measurement; Electromagnetic field theory; Electromagnetic measurements; Frequency dependence; Frequency measurement; Noise level; Telemetry;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.317441
Filename
317441
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