Prediction of the Shear Wave Velocity from Compressional Wave Velocity for Gachsaran Formation
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in: Acta Geophysica, Jahrgang 63.2015, Nr. 5, 17.12.2016, S. 1231-1243.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
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TY - JOUR
T1 - Prediction of the Shear Wave Velocity from Compressional Wave Velocity for Gachsaran Formation
AU - Parvizi, Saeed
AU - Kharrat, Riyaz
AU - Asef, Mohammad R.
AU - Jahangiry, Bijan
AU - Hashemi, Abdolnabi
N1 - Publisher Copyright: © 2015 Parvizi et al.
PY - 2016/12/17
Y1 - 2016/12/17
N2 - 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.
AB - 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.
KW - compressional wave velocity
KW - DSI log
KW - MATLAB software
KW - shear wave velocity
KW - sonic log
UR - http://www.scopus.com/inward/record.url?scp=84947265338&partnerID=8YFLogxK
U2 - 10.1515/acgeo-2015-0048
DO - 10.1515/acgeo-2015-0048
M3 - Article
AN - SCOPUS:84947265338
VL - 63.2015
SP - 1231
EP - 1243
JO - Acta Geophysica
JF - Acta Geophysica
SN - 1895-6572
IS - 5
ER -