A downhole localization algorithms incorporating improved wavelet denoising and T-Taylor

doi:10.13474/j.cnki.11-2246.2023.0039

Abstract

Abstract: A downhole localisation algorithm that incorporates improved wavelet denoising and the T-Taylor algorithm is proposed to address the problem that the signal is susceptible to non line of sight (NLOS) errors in the ultra wide band downhole localisation method, resulting in poor accuracy and environmental adaptability of the localisation algorithm. Noise reduction is applied to the original range values to suppress the influence of NLOS errors on localisation, while the three-ball rendezvous algorithm is introduced as the initial algorithm of the Taylor algorithm to ensure the convergence of the Taylor algorithm while enhancing the localisation accuracy and environmental adaptability of the localisation algorithm in complex downhole environments. The results show that the fusion algorithm can reduce the ranging error to a certain extent, enhance the adaptability of the algorithm to the complex environment, improve the positioning accuracy, and have higher positioning accuracy and noise immunity than the C-Taylor algorithm in the NLOS environment. The average positioning accuracy of the fusion algorithm is improved by 37.3% compared to the C-Taylor algorithm, as verified by field positioning experiments.

Key words: ultra wide band, downhole localization, NLOS, improved wavelet denoising, T-Taylor algorithm, accuracy analysis

CLC Number:

P228

HU Rongming, SU Ruipeng, JING Xia, MI Xiaomei, ZHENG Jiangle. A downhole localization algorithms incorporating improved wavelet denoising and T-Taylor[J]. Bulletin of Surveying and Mapping, 2023, 0(2): 46-51.

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