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Reading Room :: Theses 1999

Elizabeth Zuluaga's thesis A Simulation Approach to Validate Petrophysical Data from Nuclear Magnetic Resonance Imaging

by
Elizabeth Zuluaga, MSE

University of Texas at Austin, 1999
Supervisor: Ekwere J. Peters

Measurement of basic petrophysical properties of rocks in situ has always been a challenge in the well logging petroleum industry. Many logging tools are available to measure porosity in situ such as Resistivity, Sonic, Neutron, and Density tools. However, quantitative measurement of absolute permeability of the formation in situ has represented a major challenge. There has been some development of NMR imaging techniques to derive quantitative values for porosity and absolute permeability. The literature shows validations of different relationships used to derive petrophysical properties of rocks from NMR techniques. These validations have only been performed for single, average values of porosity and permeability by comparison with bulk laboratory measurements. In this research, two practical and quantitative NMR techniques: T1-Saturation Recovery Technique and Carr-Purcell-Meiboom-Gill (CPMG) multi-spin-echo NMR technique were used to derive three-dimensional porosity and permeability distributions of three layered heterogeneous Antolini sandstone cores.

Once porosity and permeability were calculated for small voxels within the sample, first-contact miscible displacements were performed in the sample and imaged. For further validation of the petrophysical properties obtained by NMRI, these miscible displacements were then numerically simulated using the porosity and permeability information obtained by NMRI. A powerful, three-dimensional numerical simulator was used to simulate the first-contact miscible displacements.

Results show that the NMR imaging techniques and algorithms used to derive the 3D porosity and permeability distributions of the cores are effective tools for obtaining the petrophysical properties of highly heterogeneous porous media.

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