PhD student Weiwei Zhu made the latest presentation of ANPERC research earlier this month at the fourth EAGE conference on petroleum geostatistics in Florence. Here is the abstract of the paper Zhu presented:
3D intensity parameters of fracture networks cannot be measured directly and are usually correlated with the lower
dimensionality intensity parameters, such as P21, P10. A comprehensive correlation analysis between lower
dimensionality measures, P10, P20, P21, I2D (total number of intersections per unit area) and higher
dimensionality ones, P30, P32, I3D (total number of intersections per unit volume) are investigated. We also
correlate small cube samples and underlying fracture networks that represent cores or tunnels. The fracture
networks are constrained by geomechanics principles and outcrop data to make them geologically meaningful.
We show that orientation of fracture samples impacts correlations between the 2D and 3D parameters and samples
parallel to the principal stresses yield better correlations. 3D intensity parameters, P30, I3D, and P32 can be
predicted from 2D or small cube samples. However, 1D intensity P10 doesn’t have a strong correlation with 3D
intensity parameters. The size of cube samples should be larger than 10 percent of the original size to capture
main structural information. Furthermore, the minimum number of samples to reach a good correlation from 2D
and cube samples are 20 and 60 respectively.