Investigation of sensitivity of shale elastic properties to rock components based on a digital core technology and finite element method

Investigation of sensitivity of shale elastic properties to rock components based on a digital... Elastic properties of rock are being used to help evaluate reservoir properties. Distinctive properties of shale, such as low porosity and permeability, anisotropy, and complicated mineral components, limit the application of traditional petrophysical experimental method. The elastic properties of shale are not easy to obtain. In this work, we proposed a workflow and used an advanced Markov Chain Monte Carlo (MCMC) method to reconstruct 3D digital cores of rocks in a shale reservoir. Then, we used a finite element method (FEM) to calculate the equivalent static elastic moduli of shale of the 3D digital cores. This method overcomes the limitation of the direct elastic property measurement. The equivalent bulk and shear moduli of cores with different compositions are obtained. The result reveals that the moduli are anisotropic and have different sensitivities to different components. Equivalent moduli linearly decrease in three cases, namely (a) with the increase of clays, (b) with the increase of porosity, and (c) with the increase of organic matter content. On the other hand, equivalent moduli linearly increase in three cases, namely (a) with the increase of plagioclase content, (b) with the increase of calcite content, and (c) with the increase of pyrite content. For different clays, the equivalent moduli of the rocks vary with the elastic moduli of the clay in the form of power functions. Meanwhile, the bulk modulus can be affected by the type of pore fluid and the shear modulus is insensitive. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Arabian Journal of Geosciences Springer Journals

Investigation of sensitivity of shale elastic properties to rock components based on a digital core technology and finite element method

Loading next page...
1
 
/lp/springer_journal/investigation-of-sensitivity-of-shale-elastic-properties-to-rock-DW9jYHclZw
Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2018 by Saudi Society for Geosciences
Subject
Earth Sciences; Earth Sciences, general
ISSN
1866-7511
eISSN
1866-7538
D.O.I.
10.1007/s12517-018-3576-5
Publisher site
See Article on Publisher Site

Abstract

Elastic properties of rock are being used to help evaluate reservoir properties. Distinctive properties of shale, such as low porosity and permeability, anisotropy, and complicated mineral components, limit the application of traditional petrophysical experimental method. The elastic properties of shale are not easy to obtain. In this work, we proposed a workflow and used an advanced Markov Chain Monte Carlo (MCMC) method to reconstruct 3D digital cores of rocks in a shale reservoir. Then, we used a finite element method (FEM) to calculate the equivalent static elastic moduli of shale of the 3D digital cores. This method overcomes the limitation of the direct elastic property measurement. The equivalent bulk and shear moduli of cores with different compositions are obtained. The result reveals that the moduli are anisotropic and have different sensitivities to different components. Equivalent moduli linearly decrease in three cases, namely (a) with the increase of clays, (b) with the increase of porosity, and (c) with the increase of organic matter content. On the other hand, equivalent moduli linearly increase in three cases, namely (a) with the increase of plagioclase content, (b) with the increase of calcite content, and (c) with the increase of pyrite content. For different clays, the equivalent moduli of the rocks vary with the elastic moduli of the clay in the form of power functions. Meanwhile, the bulk modulus can be affected by the type of pore fluid and the shear modulus is insensitive.

Journal

Arabian Journal of GeosciencesSpringer Journals

Published: May 11, 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