Prediction of the Shear Wave Velocity from Compressional Wave Velocity for Gachsaran Formation

Saeed Parvizi, Riyaz Kharrat, Mohammad R. Asef, Bijan Jahangiry, Abdolnabi Hashemi

Research output: Contribution to journalArticleResearchpeer-review

11 Citations (Scopus)


Shear and compressional wave velocities, coupled with other petrophysical data, are very important for hydrocarbon reservoir characterization. In situ shear wave velocity (Vs) is measured by some sonic logging tools. Shear velocity coupled with compressional velocity is vitally important in determining geomechanical parameters, identifying the lithology, mud weight design, hydraulic fracturing, geophysical studies such as VSP, etc. In this paper, a correlation between compressional and shear wave velocity is obtained for Gachsaran formation in Maroon oil field. Real data were used to examine the accuracy of the prediction equation. Moreover, the genetic algorithm was used to obtain the optimal value for constants of the suggested equation. Furthermore, artificial neural network was used to inspect the reliability of this method. These investigations verify the notion that the suggested equation could be considered as an efficient, fast, and cost-effective method for predicting Vs from Vp.
Original languageEnglish
Pages (from-to)1231-1243
Number of pages13
JournalActa Geophysica
Issue number5
Publication statusPublished - 17 Dec 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2015 Parvizi et al.


  • compressional wave velocity
  • DSI log
  • MATLAB software
  • shear wave velocity
  • sonic log

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