[风中感伤]

The Texture Profile program is similar to the Facies Profile program (MRGC) in that it
uses the clustering technique (Shin-Ju Ye technical paper) to statistically analyze the
data. The objective is to partition the formation into zones of different “electro”-textures
from the image log rather than different electro-facies from conventional logs.
Texture Profile works independently of conventional log data and operates on the image
data itself. The input to Texture Profile is the EMIP curve and that is all. The output is a
series of Texture curves (TXT_1, TXT_2, TXT_3) which must be broken up like the
Facies Profile curves into individual textures for plotting in DPP. Other outputs include
the TNEMI curve, which provides a filtered image revealing the high frequency detail,
contained in the image.
The texture parameters are extracted from the TNEMI image, because the texture
information is imbeded in the high frequency band. On the other hand, the lithology
information is mostly carried in the low frequency band which gives the background of
the image. For example, sands are high resistivity in light color background and shales
are low resistivity in dark color background. On the same image, high frequency signals,
the small changes overlap on the background, give us texture information such as
lamination, vugs, nodules, bioturbation, etc.