{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T22:49:40Z","timestamp":1776811780188,"version":"3.51.2"},"reference-count":17,"publisher":"European Society of Computational Methods in Sciences and Engineering","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"published-print":{"date-parts":[[2023,12,15]]},"abstract":"<jats:p>For signal transmission of mud pressure waves in logging-while-drilling systems, as more measurement parameters are adopted, the conventional signal transmission rate of approximately 1 bps cannot meet the requirements of parameter uploading. Transmission rates greater than 10 bps are widely used by current Chinese and international enterprises in their continuous wave transmission systems. Due to the increasing transmission rates, a conventional single-channel pressure sensor cannot effectively identify the key features of an original signal with a low signal-to-noise ratio at a high transmission rate. This issue results in a low success rate for pressure wave recognition and decoding. This paper addresses a method for the collection of pressure wave signals using multi-channel pressure sensors through the analysis of the signal transmission changes of mud pressure waves with well depths and echo interference caused by drilling rod reflection. In this research, numerical simulation and experimental verification were used to calculate the cross-correlations of the multi-channel signals to effectively remove interference noises such as reflective waves and improve the signal-to-noise ratio of the original signal. The results showed that this method could effectively improve the SNR after the wave filtering of the original pressure wave. The characteristics of the continuous mud pressure wave signals were analysed using a circulation test. A corresponding band-pass filter was designed to remove pump noises to restore the sinusoidal pressure wave signal required by the original transmission rules.<\/jats:p>","DOI":"10.3233\/jcm-226986","type":"journal-article","created":{"date-parts":[[2023,12,19]],"date-time":"2023-12-19T12:23:28Z","timestamp":1702988608000},"page":"3027-3035","source":"Crossref","is-referenced-by-count":0,"title":["A signal processing method for continuous mud pressure wave signals in logging-while-drilling systems"],"prefix":"10.66113","volume":"23","author":[{"given":"Yao","family":"Liang","sequence":"first","affiliation":[{"name":"Research Institute of Logging Technology, China National Logging Corporation, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guanghong","family":"Du","sequence":"additional","affiliation":[{"name":"Exploration and Development Research Institute of Chang Qing Oil Field, Xi\u2019an, Shaanxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anzong","family":"Li","sequence":"additional","affiliation":[{"name":"Research Institute of Logging Technology, China National Logging Corporation, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenhui","family":"Chen","sequence":"additional","affiliation":[{"name":"Research Institute of Logging Technology, China National Logging Corporation, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaojun","family":"Li","sequence":"additional","affiliation":[{"name":"Research Institute of Logging Technology, China National Logging Corporation, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yixiao","family":"Guo","sequence":"additional","affiliation":[{"name":"Research Institute of Logging Technology, China National Logging Corporation, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiguang","family":"Li","sequence":"additional","affiliation":[{"name":"Research Institute of Logging Technology, China National Logging Corporation, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","reference":[{"issue":"1","key":"10.3233\/JCM-226986_ref1","first-page":"232","article-title":"Continuous wavelet transformation: A novel approach for better detection of mud pulses","volume":"110","author":"Bernstein","year":"2013","journal-title":"Journal of Petroleum Science & Engineering."},{"key":"10.3233\/JCM-226986_ref2","doi-asserted-by":"crossref","unstructured":"Liang Y, Ju X, Li A, et al. The Process of High-Data-Rate Mud Pulse Signal in Logging While Drilling System. 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A continuous phase-frequency modulation technique and adaptive pump noise cancellation method of continuous-wave signal over mud telemetry channel. Digital Signal Processing. 2021; 117: 114.","DOI":"10.1016\/j.dsp.2021.103147"},{"issue":"7","key":"10.3233\/JCM-226986_ref9","first-page":"147","article-title":"Adaptive filtering algorithm for cancelling the pump noise in the mud pulse signal","volume":"37","author":"Qiao","year":"2016","journal-title":"Chinese Journal of Scientific Instrument."},{"key":"10.3233\/JCM-226986_ref10","doi-asserted-by":"crossref","unstructured":"Hutin R, Tennent RW, Kashikar SV. New Mud Pulse Telemetry Techniques for Deepwater Applications and Improved Real-Time Data Capabilities. SPE\/IADC Drilling Conference. 2001; 2: 73-82.","DOI":"10.2118\/67762-MS"},{"key":"10.3233\/JCM-226986_ref11","doi-asserted-by":"crossref","unstructured":"Liang Y, Ju X, Wang M, et al. The Design of Logging while Drilling\u2019s Data Acquisition & Processing System based on High Data Rate Miller code. 2020 International Symposium on Networks, Computers and Communications (ISNCC), 2020; 10: 15.","DOI":"10.1109\/ISNCC49221.2020.9297347"},{"key":"10.3233\/JCM-226986_ref12","unstructured":"Desbrandes R. 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