Reviews of Geophysics

Journal Information
ISSN / EISSN : 87551209 / 19449208
Current Publisher: American Geophysical Union (AGU) (10.1029)
Former Publisher: Wiley (10.1002)
Total articles ≅ 2,201
Google Scholar h5-index: 46
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Latest articles in this journal

J. Björklund, G. Arx, D. Nievergelt, R. Wilson, J. Van Den Bulcke, B. Günther, N.J. Loader, M. Rydval, P. Fonti, T. Scharnweber, et al.
Reviews of Geophysics; doi:10.1029/2019rg000642

The publisher has not yet granted permission to display this abstract.
S. E. Laubach, R. H. Lander, L. J. Criscenti, L. M. Anovitz, J. L. Urai, R. M. Pollyea, J. N. Hooker, W. Narr, M. A. Evans, S. N. Kerisit, et al.
Reviews of Geophysics; doi:10.1029/2019rg000671

Abstract:Fracture pattern development has been a challenging area of research in the earth sciences for more than 100 years. Much has been learned about the spatial and temporal complexity inherent to these systems but severe challenges remain. Future advances will require new approaches. Chemical processes play a larger role in opening‐mode fracture pattern development than has hitherto been appreciated. This review examines relationships between mechanical and geochemical processes that influence the fracture patterns recorded in natural settings. For fractures formed in diagenetic settings (ca. 50 to 200 °C), we review evidence of chemical reactions in fractures and show how a chemical perspective helps solve problems in fracture analysis. We also outline impediments to subsurface pattern measurement and interpretation, assess implications of discoveries in fracture history reconstruction for process‐based models, review models of fracture cementation and chemically assisted fracture growth, and discuss promising paths for future work. To accurately predict the mechanical and fluid‐flow properties of fracture systems, a processes‐based approach is needed. Progress is possible using observational, experimental, and modeling approaches that view fracture patterns and properties as the result of coupled mechanical and chemical processes. A critical area is reconstructing patterns through time. Such datasets are essential for developing and testing predictive models. Other topics that need work include models of crystal growth and dissolution rates under geological conditions, cement mechanical effects, and subcritical crack propagation. Advances in machine learning and 3D imaging present opportunities for a mechanistic understanding of fracture formation and development, enabling prediction of spatial and temporal complexity over geologic timescales. Geophysical research with a chemical perspective is needed to correctly identify and interpret fractures from geophysical measurements during site characterization and monitoring of subsurface engineering activities.
C.T. Russell, L.K. Jian, J.G. Luhmann
Reviews of Geophysics; doi:10.1029/2019rg000645

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Clare Eayrs, David Holland, Diana Francis, Till Wagner, Rajesh Kumar, Xichen Li
Reviews of Geophysics; doi:10.1029/2018rg000631

Martin J. Siegert, Jonny Kingslake, Neil Ross, Pippa L. Whitehouse, John Woodward, Stewart S.R. Jamieson, Michael J. Bentley, Kate Winter, Martin Wearing, Andrew S. Hein, et al.
Reviews of Geophysics; doi:10.1029/2019rg000651

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Gemma.L. Harvey, Alexander.J. Henshaw, James Brasington, Judy England
Reviews of Geophysics; doi:10.1029/2018rg000635

K. You, P.B. Flemings, A. Malinverno, T.S. Collett, K. Darnell
Reviews of Geophysics; doi:10.1029/2018rg000638

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Harrison J. Gray, Mayank Jain, Andre O. Sawakuchi, Shannon A. Mahan, Gregory E. Tucker
Reviews of Geophysics; doi:10.1029/2019rg000646

Scott Jasechko
Reviews of Geophysics; doi:10.1029/2018rg000627

The publisher has not yet granted permission to display this abstract.