Title: Application of signal envelope classification to estimate shear slowness from conventional cement bonding logging tools

Authors: Hamid Heydari Gholanlo; Majid Nikkhah

Addresses: Faculty of Mining, Petroleum, and Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran ' Faculty of Mining, Petroleum, and Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran

Abstract: The shear wave velocity is crucial for characterising geomechanical reservoirs and analysing wellbore stability in oil and gas wells drilled into the crust. In many cases, the use of dipole sonic logging tools, which are equipped with the latest acoustic measuring technology and can provide shear slowness, is avoided. Conventional acoustic tools that offer compressional wave slowness are not adequately developed for geomechanical reservoir modelling. This paper proposes a novel method for generating a shear slowness profile along the depth using conventional cement bonding tools. To achieve this, an algorithm based on signal envelope classification has been developed. A well in southwestern Iran was selected to evaluate the proposed model's performance. The comparison between the dipole sonic shear slowness and the shear slowness obtained from cement bonding tools indicates that the proposed model is highly accurate in measuring shear wave slowness in well-cemented intervals. [Received: April 5, 2024; Accepted: October 23, 2024]

Keywords: monopole logging tools; shear wave slowness; dipole logging tools; signal processing; wave envelope.

DOI: 10.1504/IJOGCT.2025.149835

International Journal of Oil, Gas and Coal Technology, 2025 Vol.38 No.4, pp.417 - 428

Received: 24 Mar 2024
Accepted: 23 Oct 2024
Published online: 14 Nov 2025 *

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