Geology · 1999 · 197 citations · 9 references
EngineeringEarth SciencesGeologyEngineering GeologyRock MechanicsStructural GeologyFracture GeometryFracture MechanicsFracture PropagationRock FailureRock FractureRock PhysicsFracture AnalysisFracture Scale AnalysisFracture Scaling LawsFracturesPower-law DistributionsPower-law ModelScaling Of Fracture Properties
Research Article| September 01, 1999 Extent of power-law scaling for natural fractures in rock Randall Marrett; Randall Marrett 1Department of Geological Sciences, University of Texas, Austin, Texas 78712-1101, USA Search for other works by this author on: GSW Google Scholar Orlando J. Ortega; Orlando J. Ortega 1Department of Geological Sciences, University of Texas, Austin, Texas 78712-1101, USA Search for other works by this author on: GSW Google Scholar Celinda M. Kelsey Celinda M. Kelsey 1Department of Geological Sciences, University of Texas, Austin, Texas 78712-1101, USA Search for other works by this author on: GSW Google Scholar Geology (1999) 27 (9): 799–802. https://doi.org/10.1130/0091-7613(1999)027<0799:EOPLSF>2.3.CO;2 Article history first online: 02 Jun 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Randall Marrett, Orlando J. Ortega, Celinda M. Kelsey; Extent of power-law scaling for natural fractures in rock. Geology 1999;; 27 (9): 799–802. doi: https://doi.org/10.1130/0091-7613(1999)027<0799:EOPLSF>2.3.CO;2 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGeology Search Advanced Search Abstract New data sets from natural faults and extension fractures exhibit simple power-law scaling across 3.4–4.9 orders of magnitude, regardless of rock type or movement mode. The data show no evidence of natural gaps or scaling changes. Each data set consists of independent measurements made at different observational scales; a power-law regression to the subset of smaller fractures in each case provides an extrapolation that accurately predicts associated larger fractures. Consequently, data representing a limited range of fracture sizes may be used to characterize a much broader spectrum of fracture sizes. This content is PDF only. Please click on the PDF icon to access. First Page Preview Close Modal You do not have access to this content, please speak to your institutional administrator if you feel you should have access.
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