Distinguishing Carbonate Reservoir Pore Facies with Nuclear Magnetic Resonance Measurements |
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Authors: | Coralie Genty Jerry L Jensen Wayne M Ahr |
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Institution: | (1) ExxonMobil Production Company, 12450 Greenspoint Dr, Houston, TX 77060, USA;(2) Department of Chemical and Petroleum Engineering, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada;(3) Department of Geology and Geophysics, Texas A&M University, College Station, TX 77843-3115, USA |
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Abstract: | Characterization of carbonate rocks may involve identifying the important pore types which are present. In the past, this
task has required detailed petrographic analysis of many core samples. Here, we describe a method which uses nuclear magnetic
resonance (NMR) measurements to reduce the amount of petrographic analysis needed for porosity typing of carbonate reservoir
rocks.
For a rock sample which has been measured with NMR, our method decomposes the log(T2) spectrum into at most three Gaussian-shaped components and gives a set of nine parameters. Two characteristic quantities
having geological significance are extracted from the nine parameters. Values of the two quantities are compared with a reference
set, established from samples having both NMR and petrographic evaluations of porosity types. We use a Bayesian approach to
the classification of the dominant porosity type.
Tests of our method on 103 samples show a correct prediction in 60 to 90 percent of the samples. The lower success rate was
obtained for samples with five porosity types from three fields; the higher success rate obtained with samples with three
porosity types from one well. The use of geologically significant quantities extracted from the decomposition gives comparable
success rate to those obtained using a standard, non-geological approach such as canonical variates. |
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Keywords: | Canonical variates leave one out spectral decomposition |
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