Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 312

The DOI matches its Crossref record.

A permeability–porosity relationship for mudstones

Open access
Yang, Yunlai, Aplin, Andrew C.·2010·Marine and Petroleum Geology

Abstract

Abstract The relationship between permeability and porosity for fine-grained clastic sediments (“mudstones”) is a key constitutive equation for modelling subsurface fluid flow and is fundamental to the quantification of a range of geological processes. For a given porosity, mudstone permeability varies over a range of 2–5 orders of magnitude. We show here that much of the range can be explained by variations in lithology, which we define simply and pragmatically by clay content (mass fraction of particles less than 2 microns in diameter). Using clay content as the quantitative lithology descriptor, we have used a dataset (clay content range of 12–97%; porosity range of 0.04–0.78; six orders of magnitude permeability range) comprising 376 data points to derive a new bedding perpendicular permeability (K, m2) – void ratio (e = porosity/(1-porosity)) relationship as a function of clay content (CF): ln ( K ) = − 69.59 − 26.79 ⋅ C F + 44.07 ⋅ C F 0.5 + ( − 53.61 − 80.03 ⋅ C F + 132.78 ⋅ C F 0.5 ) ⋅ ⅇ + ( 86.61 + 81.91 ⋅ C F − 163.61 ⋅ C F 0.5 ) ⋅ ⅇ 0.5 The coefficient of regression (r2) = 0.93. At a given porosity, the inclusion of the quantitative lithological descriptor, clay content reduces the predicted range of permeability from 2 to 5 orders of magnitude to one order.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.marpetgeo.2009.07.001

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 312

Metadata

Authors
Yang, Y., & Aplin, A. C.
Venue
Marine and Petroleum Geology
Publisher
Elsevier BV
Published
2010-09
Volume
27
Issue
8
Pages
1692-1697
ISSN
0264-8172 (ISSN-L)
OpenAlex
W1995654536
Cited by
312
References
0
FWCI
14.81
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A permeability–porosity relationship for mudstones. https://app.cochat.ai/papers/10.1016/j.marpetgeo.2009.07.001
The paper
Yang, Y., & Aplin, A. C. (2010). A permeability–porosity relationship for mudstones. Marine and Petroleum Geology. https://doi.org/10.1016/j.marpetgeo.2009.07.001

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.