Petrophysical properties of greensand as predicted from NMR measurements

Z. Hossain, C. A. Grattoni, M. Solymar, I. L. Fabricius
2011 Petroleum Geoscience  
23 24 Nuclear magnetic resonance (NMR) is a useful tool in reservoir evaluation. The objective 25 of this study is to predict petrophysical properties from NMR T 2 distributions. A series of 26 laboratory experiments including core analysis, capillary pressure measurements, NMR 27 T 2 measurements and image analysis were done on sixteen greensand samples from two 28 formations in the Nini field of the North Sea. Hermod Formation is weakly cemented, 29 whereas Ty Formation is characterized by
more » ... characterized by microcrystalline quartz cement. The surface 30 area measured by BET method and the NMR derived surface relaxivity are associated 31 with the micro-porous glauconite grains. The effective specific surface area as calculated 32 from Kozeny's equation and as derived from petrographic image analysis of 33 Backscattered Electron Micrograph's (BSE), as well as the estimated effective surface 34 relaxivity is associated with macro-pores. Permeability may be predicted from NMR by 35 using Kozeny's equation when surface relaxivity is known. Capillary pressure drainage 36 curves may be predicted from NMR T 2 distribution when pore size distribution within a 37 sample is homogeneous. 38 39
doi:10.1144/1354-079309-038 fatcat:yfw6ob4lazdqhf4pxigecmd7ca