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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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 (6/6 displayed)

  • 2018Digital core laboratorycitations
  • 2012Qualitative and quantitative analysis of three-phase distributions of oil, water and gas in Bentheimer sandstone using micro-CT imagingcitations
  • 2010Tomographic image analysis and processing to simulate micro-petrophysical experiments5citations
  • 2008A comparison of pore structure analysis by NMR and Xray-CT techniquescitations
  • 2005Mechanical and transport properties of polymeric foams derived from 3D images40citations
  • 2004Polymeric foam properties derived from 3D images15citations

Places of action

Chart of shared publication
Pinczewski, W. V.
2 / 2 shared
Sok, R. M.
3 / 3 shared
Knackstedt, M. A.
5 / 6 shared
Sheppard, Adrian
4 / 13 shared
Averdunk, H.
1 / 1 shared
Sakellariou, A.
3 / 3 shared
Bauget, F.
1 / 1 shared
Knackstedt, M.
1 / 1 shared
Cinar, Y.
1 / 2 shared
Feali, M.
1 / 1 shared
Francois, N.
1 / 1 shared
Arns, Ji Youn
1 / 2 shared
Turner, M.
1 / 4 shared
Varslot, T. K.
1 / 1 shared
Meleán, Y.
1 / 1 shared
Saadatfar, Mohammad
2 / 6 shared
Schrof, W.
1 / 1 shared
Steininger, H.
1 / 2 shared
Chart of publication period
2018
2012
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2004

Co-Authors (by relevance)

  • Pinczewski, W. V.
  • Sok, R. M.
  • Knackstedt, M. A.
  • Sheppard, Adrian
  • Averdunk, H.
  • Sakellariou, A.
  • Bauget, F.
  • Knackstedt, M.
  • Cinar, Y.
  • Feali, M.
  • Francois, N.
  • Arns, Ji Youn
  • Turner, M.
  • Varslot, T. K.
  • Meleán, Y.
  • Saadatfar, Mohammad
  • Schrof, W.
  • Steininger, H.
OrganizationsLocationPeople

document

Digital core laboratory

  • Pinczewski, W. V.
  • Sok, R. M.
  • Knackstedt, M. A.
  • Sheppard, Adrian
  • Averdunk, H.
  • Arns, C. H.
  • Sakellariou, A.
  • Bauget, F.
Abstract

<p>Subsets of a number of core plugs have been analysed using a high resolution X-ray micro-computed tomography (micro-CT) facility. The facility includes a system capable of acquiring 3D images made up of 2000<sup>3</sup>voxels on core plugs up to 6 cm diameter with resolutions down to 2 µm. The cores analysed include a range of sandstone samples and one reservoir carbonate core. The cores exhibit a very broad range of pore and grain sizes, porosity, permeability and mineralogy. Computational results made directly on the digitized tomographic images are presented for the permeability and drainage capillary pressure across a range of φ. We show that data over a range of porosity can be computed from a single plug. Where available, we compare permeability and drainage capillary pressure computations to conventional laboratory measurements on the same core material. The results are in good agreement. The results demonstrate the potential to predict petrophysical properties from core material not suited for laboratory testing (e.g., sidewall or damaged core and drill cuttings) and the feasibility of combining digitized images with numerical calculations to predict properties and derive correlations for specific rock lithologies. The NMR relaxation response is computed on the digital images and the log mean relaxation time used to estimate the length scales associated with NMR response. We also directly measure sizes based on the pore volume-to-surface-area ratio and critical channel diameters associated with mercury porosimetry measurements. Differences between the resultant length scales are discussed. Formation factor is also calculated on the images. Empirical correlations linking fluid permeability to Formation factor and to a number of pore size parameters based on 3D digitized images of sedimentary rock are presented. All correlations perform well, with permeability estimates based on the capillary pressure measurements being the most reliable. We discuss the extension of the methodology to a wider range of petrophysical properties. In particular the need to calibrate the simulated data to parallel laboratory core measurements. This development should lead to a more systematic study of the assumptions, interpretations and analysis methods commonly applied within industry and lead to better correlations between petrophysical properties and log measurements.</p>

Topics
  • impedance spectroscopy
  • pore
  • surface
  • grain
  • grain size
  • tomography
  • permeability
  • porosity
  • Nuclear Magnetic Resonance spectroscopy
  • porosimetry
  • Mercury