3D Seismic Sedimentology of Nearshore Subaqueous Fans – A Case Study from Dongying Depression, Eastern China - Advances in Data, Methods, Models and Their Applications in Geoscience - page 130

Fig. 4. Statistical analysis between the different lithology, logging parameters of gr and sp
and effective reservoir with a thicknesses of > 6 m in wells f1,f2,f3,f8.
2. The standardization of the characteristic curve
In order to eliminate the systematic error caused by different measuring apparatuses and
time, the characteristic curves need to be standardized by depth correction, environment
correction, mudstone baseline correction, outliers removal, wave filtering and so on.
3. Normalization and the creation of the pseudo-acoustic curve
In order to avoid the systematic error caused by differences in dimension and value range,
the characteristic curves need to be normalized before creating the pseudo-acoustic curve.
Firstly, the natural gamma (gr) and spontaneous potential (sp) logs will be normalized by
regulating the numerical range to the [0 ,1] ,and conducting the [0 ,100] amplification
process before summing them for a GS (gr+sp) curve. Then, the asonic logging curve (ac) is
processed for the treatment filter values that exceed 100 in order to remain the low-
frequency information and eliminate high-frequency information of ac. Finally, the pseudo-
acoustic curve GS is obtained by adding the characteristic curve (GS) to the filtered ac. It is
clear that the pseudo-acoustic curve GS contain not only the high frequency information of
both gr and sp, but also the low frequency information of ac, thus the ability to identify
lithologies and strata is greatly improved.