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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Fabricius, Ida Lykke
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (12/12 displayed)
- 2022Strain modeling in a marly chalk reservoir
- 2022Effect of Pyrite in Water Saturation Evaluation of Clay-Rich Carbonatecitations
- 2020Porosity in chalk – roles of elastic strain and plastic straincitations
- 2019Influence of temperature cycling and pore fluid on tensile strength of chalkcitations
- 2017Low-Field NMR Spectrometry of Chalk and Argillaceous Sandstones: Rock-Fluid Affinity Assessed from T-1/T-2 Ratio
- 2016Wettability of Chalk and Argillaceous Sandstones Assessed from T1/T2 Ratio
- 2014Burial stress and elastic strain of carbonate rockscitations
- 2011Petrophysical properties of greensand as predicted from NMR measurementscitations
- 2010Biot Critical Frequency Applied to Description of Failure and Yield of Highly Porous Chalk with Different Pore Fluidscitations
- 2008Chalk porosity and sonic velocity versus burial depthcitations
- 2007Elastic behaviour of North Sea chalkcitations
- 2000BET measurements: Outgassing of mineralscitations
Places of action
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article
Petrophysical properties of greensand as predicted from NMR measurements
Abstract
ABSTRACT: Nuclear magnetic resonance (NMR) is a useful tool in reservoir evaluation. The objective of this study is to predict petrophysical properties from NMR T2 distributions. A series of laboratory experiments including core analysis, capillary pressure measurements, NMR T2 measurements and image analysis were carried out on sixteen greensand samples from two formations in the Nini field of the North Sea. Hermod Formation is weakly cemented, whereas Ty Formation is characterized by microcrystalline quartz cement. The surface area measured by the BET method and the NMR derived surface relaxivity are associated with the micro-porous glauconite grains. The effective specific surface area as calculated from Kozeny's equation and as derived from petrographic image analysis of backscattered electron micrograph's (BSE), as well as the estimated effective surface relaxivity, is associated with macro-pores. Permeability may be predicted from NMR by using Kozeny's equation when surface relaxivity is known. Capillary pressure drainage curves may be predicted from NMR T2 distribution when pore size distribution within a sample is homogeneous.