The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
A scale-independent approach to fracture intensity and average spacing measurement
Abstract
Abstract Fracture intensity, the number of fractures per unit length along a sample line, is an important attribute of fracture systems that can be problematic to establish in the subsurface. Lack of adequate constraints on fracture intensity may limit the economic exploitation of fractured reservoirs because intensity describes the abundance of fractures potentially available for fluid flow and the probability of encountering fractures in a borehole. Traditional methods of fracture-intensity measurement are inadequate because they ignore the wide spectrum of fracture sizes found in many fracture systems and the consequent scale dependence of fracture intensity. An alternative approach makes use of fracture-size distributions, which allow more meaningful comparisons between different locations and allow microfractures in subsurface samples to be used for fracture-intensity measurement. Comparisons are more meaningful because sampling artifacts can be recognized and avoided, and because common thresholds of fracture size can be enforced for counting in different locations. Additionally, quantification of the fracture-size distribution provides a mechanism for evaluation of uncertainties. Estimates of fracture intensity using this approach for two carbonate beds in the Sierra Madre Oriental, Mexico, illustrate how size-cognizant measurements cast new light on widely accepted interpretation of geologic controls of fracture intensity.
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.
Integrity signals
Registry
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.
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
Cites
Scaling of fracture systems in geological media
Bonnet, E., Bour, O., Odling, N. E., Davy, P., Main, I., Cowie, P., & Berkowitz, B. (2001) · Reviews of Geophysics · doi:10.1029/1999rg000074 · Cited by 1,461
Geologic Analysis of Naturally Fractured Reservoirs
(2001) · Elsevier eBooks · doi:10.1016/b978-0-88415-317-7.x5000-3 · Cited by 1,367
Discontinuity spacings in rock
Priest, S. D., & Hudson, J. A. (1976) · International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts · doi:10.1016/0148-9062(76)90818-4 · Cited by 698
Joint spacing in sedimentary rocks
Narr, W., & Suppe, J. (1991) · Journal of Structural Geology · doi:10.1016/0191-8141(91)90055-n · Cited by 552
Practical approaches to identifying sealed and open fractures
Laubach, S. E. (2003) · AAPG Bulletin · doi:10.1306/11060201106 · Cited by 382
Self-citationOlson, J. E. (2004) · Geological Society, London, Special Publications · doi:10.1144/gsl.sp.2004.231.01.05 · Cited by 352
Sublinear scaling of fracture aperture versus length: An exception or the rule?
Olson, J. E. (2003) · Journal of Geophysical Research: Solid Earth · doi:10.1029/2001jb000419 · Cited by 339
Relationship between fracture spacing and bed thickness
Ladeira, F. L., & Price, N. J. (1981) · Journal of Structural Geology · doi:10.1016/0191-8141(81)90013-4 · Cited by 327
Sampling power-law distributions
Pickering, G., Bull, J. M., & Sanderson, D. J. (1995) · Tectonophysics · doi:10.1016/0040-1951(95)00030-q · Cited by 286
Laubach, S. E., Reed, R. M., Olson, J. E., Lander, R. H., & Bonnell, L. M. (2004) · Journal of Structural Geology · doi:10.1016/j.jsg.2003.08.019 · Cited by 221
Self-citation
Cited by
Sturzenegger, M., & Stead, D. (2009) · Engineering Geology · doi:10.1016/j.enggeo.2009.03.004 · Cited by 468
Laubach, S. E., Lander, R. H., Criscenti, L. J., Anovitz, L. M., Urai, J. L., Pollyea, R. M., Hooker, J. N., Narr, W., Evans, M. A., Kerisit, S. N., et al. (2019) · Reviews of Geophysics · doi:10.1029/2019rg000671 · Cited by 349
Self-citation
Metadata
- Authors
- Ortega, O. J., Marrett, R. A., & Laubach, S. E.
- Venue
- AAPG Bulletin
- Published
- 2006-02
- Volume
- 90
- Issue
- 2
- Pages
- 193-208
- ISSN
- 0149-1423 (ISSN-L)
- OpenAlex
- W2102855159
- Cited by
- 431
- References
- 21
- FWCI
- 17.98
- Type
- journal article
- Language
- en
- Open access
- closed
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 scale-independent approach to fracture intensity and average spacing measurement. https://app.cochat.ai/papers/10.1306/08250505059
- The paper
- Ortega, O. J., Marrett, R. A., & Laubach, S. E. (2006). A scale-independent approach to fracture intensity and average spacing measurement. AAPG Bulletin. https://doi.org/10.1306/08250505059
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.