Research on pulse signal identification algorithms based on adaptive filter and adaptive generalized cross-correlation
Author:
Affiliation:
1. College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, People’s Republic of China
2. Research Institute of Petroleum Engineering, Sinopec Shengli Oilfield, Dongying, People’s Republic of China
Funder
ShanDong Natural Science Foundation
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Control and Optimization,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/21642583.2018.1542357
Reference12 articles.
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2. Cooper, P. & Santos, L. S. B. (2015, October 26). New mud-pulse telemetry system delivers improved drilling dynamics and formation evaluation data. Society of Petroleum Engineers. doi:10.2118/176543-MS.
3. Emmerich, W., Akimov, O., Brahim, I. B. & Greten, A. (2015, March 17). Reliable high-speed Mud pulse telemetry. Society of Petroleum Engineers. doi:10.2118/173032-MS.
4. Emmerich, W., Akimov, O., Brahim, I. B. & Greten, A. (2016, March 1). Field performance of automated high-speed Mud pulse telemetry system. Society of Petroleum Engineers. doi:10.2118/178871-MS.
5. Gao, C. H., Rajeswaran, R. T. & Nakagawa, E. Y. (2007, January 1). A literature review on smart well technology. Society of Petroleum Engineers. doi:10.2118/106011-MS.
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