Preprint Article Version 1 This version is not peer-reviewed

Fracture Reconstruction and Analysis of Low Permeability Carbonates using x-ray Tomography for Comparison with Outcrop Data

Version 1 : Received: 10 May 2018 / Approved: 10 May 2018 / Online: 10 May 2018 (16:24:06 CEST)

How to cite: Zihms, S.G.; Lewis, H.; Siqueira de Miranda, T.; Hall, S.A.; Somerville, J.M. Fracture Reconstruction and Analysis of Low Permeability Carbonates using x-ray Tomography for Comparison with Outcrop Data. Preprints 2018, 2018050171 (doi: 10.20944/preprints201805.0171.v1). Zihms, S.G.; Lewis, H.; Siqueira de Miranda, T.; Hall, S.A.; Somerville, J.M. Fracture Reconstruction and Analysis of Low Permeability Carbonates using x-ray Tomography for Comparison with Outcrop Data. Preprints 2018, 2018050171 (doi: 10.20944/preprints201805.0171.v1).

Abstract

Abstract: Comparing outcrop data to laboratory results is important to verify and validate experiments of analogue and reservoir materials especially regarding conditions for deformation experiments. This is important better understand highly complex carbonate reservoir strata and their response to changes in subsurface conditions, reducing subsurface uncertainty. This study develops methods to allow for a more straightforward comparison of outcrop data (m-scale) with experimentally created fracture arrays developed in cylindrical samples (cm-scale). The main objective is to assess usefulness of experimentally-produced fracture networks as analogues for subsurface structures, typically at the meter and above scale by developing new techniques to use the lab deformation. It analyses key characteristics of laboratory-induced fracture networks by adapting scanline methods to use with x-ray tomography (XRT) images to allow for comparison with outcrop and field data. To test and verify these new methods two low permeability carbonate samples were used for deformation testing and analysis. Applying the different scanline methods we show that they can be used to analyse lab induced fractures (mm to cm-scale) identified in XRT images for comparison with outcrop data (m-scale). In addition, these methods also allow for quantification of fracture network attributes e.g. fracture spacing, fracture apertures, orientation. This new data bridges the gap between micro-scanlines using thin sections and outcrop scanlines.

Subject Areas

geomechanics; fractures; multi-scale; x-ray tomography; carbonates

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