This is fairly close to −1 which suggests good correlation between Young's modulus and both compressional and shear transit times.
P-wave velocity and AI are measured from post-stacked seismic data and its inversion, from which the saturated rock density and compressional modulus (M) are calculated.
Using this information, saturated rock density and compressional modulus are inverted for fluid velocity and density, respectively, to identify the pore fluid.
We used R-project to produce a multiple linear regression analysis of the training data with Young's modulus as a dependent variable and compressional and shear transit times and bulk density as the independent variables.
In this study, physical tests such as porosity, moisture, and density of rocks, and mechanical tests such as uniaxial compressive strength (UCS), point load index, elastic modulus (Es), punch strength index and compressional wave velocities were performed on 142 specimens from limestone, shale, marl, and mudrock.
The relative importance (dependence of Young's modulus on the parameter) between the static Young's modulus and the log parameters (compressional and shear times and bulk density).
Correlation analysis shows association among Young's modulus and log parameters such as compressional and shear transit times and bulk density of the rock.
Therefore, dynamic Young's modulus (Ed) determined from open hole log data such as density and compressional and shear wave velocities could results in continuous estimation of elastic properties of the well length.
Well log-based brittleness index prediction conventionally relies on Young's modulus and Poisson's ratio, but sometimes shear compressional velocity is not available to derive elastic inputs for the brittleness index calculation.
The existing correlations that determine the static Young's modulus either depend on the dynamic Young's modulus or compressional shear velocity.
