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Predicting Fluid Flow Regime, Permeability, and Diffusivity in Mudrocks from Multiscale Pore Characterisation

Journal Article · · Transport in Porous Media
 [1];  [2];  [1];  [3];  [4];  [5];  [6];  [1]
  1. Heriot-Watt Univ., Edinburgh (United Kingdom)
  2. Forschungszentrum Jülich GmbH, Garching (Germany)
  3. Imperial College, London (United Kingdom)
  4. RWTH Aachen Univ. (Germany)
  5. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  6. Forschungszentrum Jülich GmbH, Garching (Germany); Australian Synchrotron, Clayton (Australia)
In geoenergy applications, mudrocks prevent fluids to leak from temporary (H2, CH4) or permanent (CO2, radioactive waste) storage/disposal sites and serve as a source and reservoir for unconventional oil and gas. Understanding transport properties integrated with dominant fluid flow mechanisms in mudrocks is essential to better predict the performance of mudrocks within these applications. In this study, small-angle neutron scattering (SANS) experiments were conducted on 71 samples from 13 different sets of mudrocks across the globe to capture the pore structure of nearly the full pore size spectrum (2 nm–5 μm). We develop fractal models to predict transport properties (permeability and diffusivity) based on the SANS-derived pore size distributions. The results indicate that transport phenomena in mudrocks are intrinsically pore size-dependent. Depending on hydrostatic pore pressures, transition flow develops in micropores, slip flow in meso- and macropores, and continuum flow in larger macropores. Fluid flow regimes progress towards larger pore sizes during reservoir depletion or smaller pore sizes during fluid storage, so when pressure is decreased or increased, respectively. Capturing the heterogeneity of mudrocks by considering fractal dimension and tortuosity fractal dimension for defined pore size ranges, fractal models integrate apparent permeability with slip flow, Darcy permeability with continuum flow, and gas diffusivity with diffusion flow in the matrix. This new model of pore size-dependent transport and integrated transport properties using fractal models yields a systematic approach that can also inform multiscale multi-physics models to better understand fluid flow and transport phenomena in mudrocks on the reservoir and basin scale.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Chemical Sciences, Geosciences & Biosciences Division
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1835205
Journal Information:
Transport in Porous Media, Journal Name: Transport in Porous Media Journal Issue: 1 Vol. 141; ISSN 0169-3913
Publisher:
SpringerCopyright Statement
Country of Publication:
United States
Language:
English

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