Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2011Petrophysical properties of greensand as predicted from NMR measurements52citations

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Hossain, Zakir
1 / 3 shared
Grattoni, Carlos A.
1 / 1 shared
Fabricius, Ida Lykke
1 / 12 shared
Chart of publication period
2011

Co-Authors (by relevance)

  • Hossain, Zakir
  • Grattoni, Carlos A.
  • Fabricius, Ida Lykke
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article

Petrophysical properties of greensand as predicted from NMR measurements

  • Hossain, Zakir
  • Solymar, Mikael
  • Grattoni, Carlos A.
  • Fabricius, Ida Lykke
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.

Topics
  • porous
  • impedance spectroscopy
  • pore
  • surface
  • grain
  • experiment
  • cement
  • permeability
  • Nuclear Magnetic Resonance spectroscopy