Image analytical sandstone plug poro-perm prediction using angle measure technique (AMT) and chemometrics – A feasibility study

Maths Halstensen, Knut Kvaal, Kim H. Esbensen

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2 Citationer (Scopus)

Resumé

This feasibility study evaluates an approach for prediction of sandstone plug porosity and permeability based on low-angle illumination imaging, the Angle Measure Technique (AMT) and chemometric multivariate calibration/validation. The AMT approach transforms 2-D texture images of drill core plug ends into 1-D ‘complexity spectra’ in which inherent porosity- and permeability-correlated features are subsequently extracted and subjected to multivariate calibration modelling. A training data set was selected because of its wide-spanning porosity and permeability ranges allowing evaluation of realistic prediction performance for typical North Sea/Scandinavian sandstone oil/gas reservoir rocks. This first study makes use of sand stone plugs from a single drill core from the Danish underground. Contingent upon proper test set validation (deliberately not deleting a few small, potential outliers), prediction performance assessment were for porosity [%] slope: 0.86; RMSEP: 2.2%; R2 = 0.90 and for permeability [mDarcy]: slope: 0.91; RMSEP: 458 mDarcy; R2 = 0.87, which translates into RMSEPrel of 12% and 19% respectively. These results pertain to a typical, well-spanning training data set (18 sandstone plugs); it is therefore concluded that the AMT approach to poro-perm prediction from images is feasible, but further, extended calibrations must be based on a more comprehensive training data sets covering the full geological regime of reservoir sandstones. We discuss possible application potentials and limitations of this approach.

OriginalsprogEngelsk
Artikelnummer103847
Antal sider9
TidsskriftChemometrics and Intelligent Laboratory Systems
Vol/bind193
DOI
StatusUdgivet - 15 okt. 2019

Programområde

  • Programområde 3: Energiressourcer

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