An An Accurate Estimation of Shear Wave Velocity Using Well Logging Data for Khasib Carbonate Reservoir - Amara Oil Field

  • Rwaida K. AbdulMajeed College of Engineering - University of Baghdad
  • Ayad A. Alhaleem College of Engineering - University of Baghdad
Keywords: shear velocity, compressional velocity, well log data, dynamic modules, multiple regression, geomechanic.

Abstract

   

Shear and compressional wave velocities, coupled with other petrophysical data, are vital in determining the dynamic modules magnitude in geomechanical studies and hydrocarbon reservoir characterization. But, due to field practices and high running cost, shear wave velocity may not available in all wells. In this paper, a statistical multivariate regression method is presented to predict the shear wave velocity for Khasib formation - Amara oil fields located in South- East of Iraq using well log compressional wave velocity, neutron porosity and density. The accuracy of the proposed correlation have been compared to other correlations. The results show that, the presented model provides accurate estimates of shear wave velocity with correlation coefficient of about unity than other currently available methods.

 

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Published
2020-06-01
How to Cite
AbdulMajeed, R. and Alhaleem, A. (2020) “An An Accurate Estimation of Shear Wave Velocity Using Well Logging Data for Khasib Carbonate Reservoir - Amara Oil Field”, Journal of Engineering, 26(6), pp. 107-120. doi: 10.31026/j.eng.2020.06.09.