Estimation of Shale Intrinsic Permeability with Process-Based Pore Network Modeling Approach

Estimation of Shale Intrinsic Permeability with Process-Based Pore Network Modeling Approach Transp Porous Med https://doi.org/10.1007/s11242-018-1091-5 Estimation of Shale Intrinsic Permeability with Process-Based Pore Network Modeling Approach 1 2 Shanshan Yao · Xiangzeng Wang · 3 1 Qingwang Yuan · Fanhua Zeng Received: 30 October 2017 / Accepted: 18 May 2018 © Springer Science+Business Media B.V., part of Springer Nature 2018 Abstract A multi-scale pore network model is developed for shale with the process-based method (PBM). The pore network comprises three types of sub-networks: the µm-scale sub- network, the nm-scale pore sub-network in organic matter (OM) particles and the nm-scale pore sub-network in clay aggregates. Process-based simulations mimic shale-forming geo- logical processes and generate a µm-scale sub-network which connects interparticle pores, OM particles and clay aggregates. The nm-scale pore sub-networks in OM and clay are extracted from monodisperse sphere packing. Nm-scale throats in OM and clay are simpli- fied to be cylindrical and cuboid-shaped, respectively. The nm-scale pore sub-networks are inserted into selected OM particles and clay aggregates in the µm-scale sub-network to form an integrated multi-scale pore network. No-slip permeability is evaluated on multi-scale pore networks. Permeability calculations verify that shales permeability keeps decreasing when nm-scale pores and throats replace µm-scale pores. Soft shales may have higher porosity but similar http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Transport in Porous Media Springer Journals

Estimation of Shale Intrinsic Permeability with Process-Based Pore Network Modeling Approach

Loading next page...
 
/lp/springer_journal/estimation-of-shale-intrinsic-permeability-with-process-based-pore-r0LvbiEK1M
Publisher
Springer Netherlands
Copyright
Copyright © 2018 by Springer Science+Business Media B.V., part of Springer Nature
Subject
Earth Sciences; Geotechnical Engineering & Applied Earth Sciences; Industrial Chemistry/Chemical Engineering; Hydrology/Water Resources; Civil Engineering; Hydrogeology; Classical and Continuum Physics
ISSN
0169-3913
eISSN
1573-1634
D.O.I.
10.1007/s11242-018-1091-5
Publisher site
See Article on Publisher Site

Abstract

Transp Porous Med https://doi.org/10.1007/s11242-018-1091-5 Estimation of Shale Intrinsic Permeability with Process-Based Pore Network Modeling Approach 1 2 Shanshan Yao · Xiangzeng Wang · 3 1 Qingwang Yuan · Fanhua Zeng Received: 30 October 2017 / Accepted: 18 May 2018 © Springer Science+Business Media B.V., part of Springer Nature 2018 Abstract A multi-scale pore network model is developed for shale with the process-based method (PBM). The pore network comprises three types of sub-networks: the µm-scale sub- network, the nm-scale pore sub-network in organic matter (OM) particles and the nm-scale pore sub-network in clay aggregates. Process-based simulations mimic shale-forming geo- logical processes and generate a µm-scale sub-network which connects interparticle pores, OM particles and clay aggregates. The nm-scale pore sub-networks in OM and clay are extracted from monodisperse sphere packing. Nm-scale throats in OM and clay are simpli- fied to be cylindrical and cuboid-shaped, respectively. The nm-scale pore sub-networks are inserted into selected OM particles and clay aggregates in the µm-scale sub-network to form an integrated multi-scale pore network. No-slip permeability is evaluated on multi-scale pore networks. Permeability calculations verify that shales permeability keeps decreasing when nm-scale pores and throats replace µm-scale pores. Soft shales may have higher porosity but similar

Journal

Transport in Porous MediaSpringer Journals

Published: May 28, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off