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In this project, we will devleop various demodulation and encoding techniques to enhance the performance of receiving data in the EM telemetry process. In EM Telemetry process, a ‘measuring information and data while drilling’ application, transmit and communicate wirelessly from downhole to the surface. Due to the challenge of the earth behavior, low frequency communication needs to be used in this process, therefore mixing the data and noise in the low frequency and low SNR (signal to noise ration) is the main issue. In our work, a classical and intelligence noise cancellation method besides a channel frequency model will be studied. To develop a suitable modulation/demodulation method, a multiphysics, precise model will be designed and implemented. The entire electrical circuits, mechanical structure and the noise behavior will be investigated in the model and once finalized it would be applied to the real system.
Bruce Forster;Paul Schaffer
MWDPlanet and Lumen Corp.;ARTMS
Engineering
Manufacturing; Mining
The University of British Columbia; University of Calgary
Accelerate
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