Abstract
In practice, the near-bit signals are usually accompanied by noises generated by drilling tool vibration and high-speed rotary. This study introduces discrete wavelet transform to a well drilling area and presents a new weal signal extraction algorithm, which can eliminate the vibration and rotary noises effectively and obtain the useful gravity attitude signals based on the discrete wavelet transform through a hard threshold method. The effectiveness and usefulness of our method are verified via Matlab simulation and actual drilling data.
Funder
National Natural Science Foundation of China Enterprise Innovation and Development Joint Fund
Subject
Control and Optimization,Control and Systems Engineering
Cited by
2 articles.
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