Feasibility of a data-constrained prediction of shale microstructures

Y. S. Yang, T. Gureyev, Andrew M Tulloh, Michael Benedict Clennell, Marina Pervukhina

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

3 Citations (Scopus)

Abstract

The microstructures of hydrocarbon reservoir shales and sandstones are critical in determining their permeability, mechanical, electrical and other physical properties. However, the available experimental techniques in characterising shale 3D microstructures are time consuming and sample destructive. This paper outlines our effort investigating the feasibility of determining shale microstructures using multiple computedtomography (CT) data sets with different X-ray beam energies, together with a data-constrained microstructure (DCM) modelling approach. A sample composition data set was generated using an experimental tomography data set as a template for a shale rock sample with quartz, kaolinite and mica (illite). X-ray transmission through the sample was numerically simulated to produce X-ray projection images from the sample at multiple incident angles. This was repeated with several beam energies. The simulated projection images were used to reconstruct the 3D distribution of X-ray attenuation coefficient inside the sample for each energy. The compositional microstructures were predicted with our DCM software using the above 3D X-ray attenuation maps as constraints. Our preliminary comparisons indicate that the DCM-predicted compositional microstructure is qualitatively consistent with the known original microstructure. The accuracy of the prediction would depend on the CT reconstruction accuracy and the level of noise. Further work is in progress in quantitative evaluation of the predictions under various experimental conditions and rock microstructures.

Original languageEnglish
Title of host publication18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings
Pages342-347
Number of pages6
Publication statusPublished - 2009
Externally publishedYes
EventInternational Congress on Modelling and Simulation 2009: Interfacing Modelling and Simulation with Mathematical and Computational Sciences - Cairns Australia, Cairns, Australia
Duration: 13 Jul 200917 Jul 2009
Conference number: 18th

Conference

ConferenceInternational Congress on Modelling and Simulation 2009
Abbreviated titleMODSIM09
CountryAustralia
CityCairns
Period13/07/0917/07/09

Keywords

  • Computed tomography (CT)
  • Data-constrained microstructure (DCM)
  • Hydrocarbon reservoir
  • Microstructure
  • Sandstone
  • Shale

Cite this

Yang, Y. S., Gureyev, T., Tulloh, A. M., Clennell, M. B., & Pervukhina, M. (2009). Feasibility of a data-constrained prediction of shale microstructures. In 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings (pp. 342-347)