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Title: Nanoscale simulation of shale transport properties using the lattice Boltzmann method: Permeability and diffusivity

Journal Article · · Scientific Reports
DOI:https://doi.org/10.1038/srep08089· OSTI ID:1259292
 [1];  [2];  [3];  [3];  [2];  [4]
  1. Xi'an Jiaotong Univ., Shaanxi (China); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. China Univ. of Petroleum, Shandong (China)
  3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  4. Xi'an Jiaotong Univ., Shaanxi (China)

Here, porous structures of shales are reconstructed using the markov chain monte carlo (MCMC) method based on scanning electron microscopy (SEM) images of shale samples from Sichuan Basin, China. Characterization analysis of the reconstructed shales is performed, including porosity, pore size distribution, specific surface area and pore connectivity. The lattice Boltzmann method (LBM) is adopted to simulate fluid flow and Knudsen diffusion within the reconstructed shales. Simulation results reveal that the tortuosity of the shales is much higher than that commonly employed in the Bruggeman equation, and such high tortuosity leads to extremely low intrinsic permeability. Correction of the intrinsic permeability is performed based on the dusty gas model (DGM) by considering the contribution of Knudsen diffusion to the total flow flux, resulting in apparent permeability. The correction factor over a range of Knudsen number and pressure is estimated and compared with empirical correlations in the literature. We find that for the wide pressure range investigated, the correction factor is always greater than 1, indicating Knudsen diffusion always plays a role on shale gas transport mechanisms in the reconstructed shales. Specifically, we found that most of the values of correction factor fall in the slip and transition regime, with no Darcy flow regime observed.

Research Organization:
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE; National Nature Science Foundation of China
Grant/Contract Number:
51406145; 51136004; 51320105004
OSTI ID:
1259292
Journal Information:
Scientific Reports, Vol. 5; ISSN 2045-2322
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 229 works
Citation information provided by
Web of Science

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Cited By (20)

Prediction of diffusive transport through polymer films from characteristics of the pore geometry journal October 2018
An Object-Based Shale Permeability Model: Non-Darcy Gas Flow, Sorption, and Surface Diffusion Effects journal January 2018
Pore Network Modeling of Shale Gas Reservoirs: Gas Desorption and Slip Flow Effects journal September 2018
Flow Mechanism and Simulation Approaches for Shale Gas Reservoirs: A Review journal September 2018
How Hydraulic Properties of Organic Matter Control Effective Liquid Permeability of Mudrocks journal June 2019
Deciphering pore-level precipitation mechanisms journal October 2017
Predicting Effective Diffusivity of Porous Media from Images by Deep Learning journal December 2019
Micro/Nano-pore Network Analysis of Gas Flow in Shale Matrix journal August 2015
Study of Gas Flow Characteristics in Tight Porous Media with a Microscale Lattice Boltzmann Model journal September 2016
Channel-width dependent pressure-driven flow characteristics of shale gas in nanopores journal April 2017
Features of photothermal transformation in porous silicon based multilayered structures journal July 2019
Study on the effects of natural gas hydrate cementation mode on the physical properties of rocks journal April 2018
Lattice Boltzmann simulation of the gas-solid adsorption process in reconstructed random porous media journal April 2016
Grayscale lattice Boltzmann model for multiphase heterogeneous flow through porous media journal June 2016
Using BIB-SEM Imaging for Permeability Prediction in Heterogeneous Shales journal January 2017
Applicability Analysis of Klinkenberg Slip Theory in the Measurement of Tight Core Permeability journal June 2019
Deciphering pore-level precipitation mechanisms text January 2017
Using BIB-SEM Imaging for Permeability Prediction in Heterogeneous Shales text January 2017
Predicting Effective Diffusivity of Porous Media from Images by Deep Learning preprint January 2019
Quantifying the anisotropy and tortuosity of permeable pathways in clay-rich mudstones using models based on X-ray tomography journal November 2017