In this case study, the potential usefulness of NMR well-logging data is tested in a cherty dolomite reservoir of Arbuckle #1-32, southern Kansas. The capability of recognizing lithology from ratio is first tested by comparing matrix-identification method (MIM) with principle component analysis (PCA). Crossplot of MIM results versus ratio reveals the capability of which in elucidating the relative quartz-dolomite content in this case. PCA results also confirmed the uniqueness of ratio in recognizing electrofacies and electrobeds. Furthermore, attempts are conducted to improve permeability estimation from NMR data by assigning specific value in existing models from the difference among sonic porosity and NMR porosity.

Presentation Date: Tuesday, September 26, 2017

Start Time: 2:15 PM

Location: Exhibit Hall C/D

Presentation Type: POSTER

This content is only available via PDF.
You can access this article if you purchase or spend a download.