Articles | Volume 11, issue 6
https://doi.org/10.5194/se-11-2535-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/se-11-2535-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Dec 2020
Research article |
| 23 Dec 2020
| 23 Dec 2020
On a new robust workflow for the statistical and spatial analysis of fracture data collected with scanlines (or the importance of stationarity)
Andrea Bistacchi
CORRESPONDING AUTHOR
Dipartimento di Scienze dell'Ambiente e della Terra, Università
degli Studi di Milano Bicocca, Piazza della Scienza, 4, 20126 Milan, Italy
Silvia Mittempergher
Dipartimento di Scienze Chimiche e Geologiche, Università degli
Studi di Modena e Reggio Emilia, Via G. Campi 106, 41125 Modena, Italy
Mattia Martinelli
Dipartimento di Scienze dell'Ambiente e della Terra, Università
degli Studi di Milano Bicocca, Piazza della Scienza, 4, 20126 Milan, Italy
Fabrizio Storti
NEXT – Natural and Experimental Tectonics Research Group, Dipartimento
di Scienze Chimiche, della Vita e della Sostenibilità Ambientale,
Università degli Studi di Parma, Parco Area delle Scienze 157/A, 43124
Parma, Italy
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- Fracture-pattern growth in the deep, chemically reactive subsurface J. Hooker et al. 10.1016/j.jsg.2023.104915
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- Slope-Scale Remote Mapping of Rock Mass Fracturing by Modeling Cooling Trends Derived from Infrared Thermography F. Franzosi et al. 10.3390/rs15184525
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- Deep and ultra-deep basin brittle deformation with focus on China S. Laubach et al. 10.1016/j.jsg.2023.104938
- Fractal characteristics of fractures in crystalline basement rocks: Insights from depth-dependent correlation analyses to 5 km depth M. Afshari Moein et al. 10.1016/j.ijrmms.2022.105138
- Investigating spatial heterogeneity within fracture networks using hierarchical clustering and graph distance metrics R. Prabhakaran et al. 10.5194/se-12-2159-2021
- Quantitative characterization of fracture spatial arrangement and intensity in a reservoir anticline using horizontal wellbore image logs and an outcrop analogue Q. Wang et al. 10.1016/j.marpetgeo.2023.106238
- Permeability modeling of a basin-bounding fault damage zone in the Rio do Peixe Basin, Brazil M. Silva et al. 10.1016/j.marpetgeo.2021.105409
- Analysis of spatial arrangement of fractures in two dimensions using point process statistics R. Corrêa et al. 10.1016/j.jsg.2022.104726
- Quantitative Characterization of Fracture Spatial Arrangement and Intensity in a Reservoir Anticline Using Horizontal Wellbore Image Logs and an Outcrop Analogue Q. Wang et al. 10.2139/ssrn.4349414
- Formation of multi-stage and clustered fractures at 3.6–4.9 km in the Shizigou structure, SW Qaidam basin J. Wu et al. 10.1016/j.jsg.2023.104845
- Scanline intersection similarity: A similarity metric for joint trace maps J. Kim et al. 10.1016/j.cageo.2023.105358
- Rigorizing the use of the coefficient of variation to diagnose fracture periodicity and clustering J. Hooker et al. 10.1016/j.jsg.2023.104830
- Sedimentary facies control on fracture and mechanical stratigraphy in siliciclastics: Marnoso-arenacea formation, Northern Apennines, Italy A. Lucca et al. 10.1016/j.marpetgeo.2024.106927
- Multiscale spatial analysis of fracture nodes in two dimensions M. Shakiba et al. 10.1016/j.marpetgeo.2022.106093
- Complexity analysis of three-dimensional stochastic discrete fracture networks with fractal and multifractal techniques W. Zhu et al. 10.1016/j.jsg.2022.104690
- Directional Pair‐Correlation Analysis of Fracture Networks F. Bonneau & D. Stoyan 10.1029/2022JB024424
- Rheological and Mechanical Layering of the Crust Underneath Thumbprint Terrains in Arcadia Planitia, Mars B. De Toffoli et al. 10.1029/2021JE007007
22 citations as recorded by crossref.
- Spatial and spacing distribution of joints at (over-) saturation in the turbidite sandstones of the Marnoso-Arenacea Fm. (Northern Apennines, Italy) F. Storti et al. 10.1016/j.jsg.2022.104551
- Fracture-pattern growth in the deep, chemically reactive subsurface J. Hooker et al. 10.1016/j.jsg.2023.104915
- A survey on short text similarity measurement methods A. Rabiei Zadeh & H. Amirkhani 10.61186/jsdp.20.3.103
- Prediction of Mean Sea Level with GNSS-VLM Correction Using a Hybrid Deep Learning Model in Australia N. Raj & J. Brown 10.3390/rs15112881
- Episodic reactivation of carbonate fault zones with implications for permeability – An example from Provence, Southeast France R. Corrêa et al. 10.1016/j.marpetgeo.2022.105905
- Multiscale lineament analysis and permeability heterogeneity of fractured crystalline basement blocks A. Ceccato et al. 10.5194/se-13-1431-2022
- Subsurface fracture characterization in a folded ultra-deep tight-gas sandstone reservoir: A case study from the Keshen gas field, Tarim Basin, China J. Wang et al. 10.1016/j.jsg.2023.104867
- Slope-Scale Remote Mapping of Rock Mass Fracturing by Modeling Cooling Trends Derived from Infrared Thermography F. Franzosi et al. 10.3390/rs15184525
- Multiscale spatial analysis of fracture arrangement and pattern reconstruction using Ripley's K-function M. Shakiba et al. 10.1016/j.jsg.2022.104531
- Deep and ultra-deep basin brittle deformation with focus on China S. Laubach et al. 10.1016/j.jsg.2023.104938
- Fractal characteristics of fractures in crystalline basement rocks: Insights from depth-dependent correlation analyses to 5 km depth M. Afshari Moein et al. 10.1016/j.ijrmms.2022.105138
- Investigating spatial heterogeneity within fracture networks using hierarchical clustering and graph distance metrics R. Prabhakaran et al. 10.5194/se-12-2159-2021
- Quantitative characterization of fracture spatial arrangement and intensity in a reservoir anticline using horizontal wellbore image logs and an outcrop analogue Q. Wang et al. 10.1016/j.marpetgeo.2023.106238
- Permeability modeling of a basin-bounding fault damage zone in the Rio do Peixe Basin, Brazil M. Silva et al. 10.1016/j.marpetgeo.2021.105409
- Analysis of spatial arrangement of fractures in two dimensions using point process statistics R. Corrêa et al. 10.1016/j.jsg.2022.104726
- Quantitative Characterization of Fracture Spatial Arrangement and Intensity in a Reservoir Anticline Using Horizontal Wellbore Image Logs and an Outcrop Analogue Q. Wang et al. 10.2139/ssrn.4349414
- Formation of multi-stage and clustered fractures at 3.6–4.9 km in the Shizigou structure, SW Qaidam basin J. Wu et al. 10.1016/j.jsg.2023.104845
- Scanline intersection similarity: A similarity metric for joint trace maps J. Kim et al. 10.1016/j.cageo.2023.105358
- Rigorizing the use of the coefficient of variation to diagnose fracture periodicity and clustering J. Hooker et al. 10.1016/j.jsg.2023.104830
- Sedimentary facies control on fracture and mechanical stratigraphy in siliciclastics: Marnoso-arenacea formation, Northern Apennines, Italy A. Lucca et al. 10.1016/j.marpetgeo.2024.106927
- Multiscale spatial analysis of fracture nodes in two dimensions M. Shakiba et al. 10.1016/j.marpetgeo.2022.106093
- Complexity analysis of three-dimensional stochastic discrete fracture networks with fractal and multifractal techniques W. Zhu et al. 10.1016/j.jsg.2022.104690
Latest update: 07 Nov 2024
Short summary
We present an innovative workflow for the statistical analysis of fracture data collected along scanlines. Our methodology is based on performing non-parametric statistical tests, which allow detection of important features of the spatial distribution of fractures, and on the analysis of the cumulative spacing function (CSF) and cumulative spacing derivative (CSD), which allows the boundaries of stationary domains to be defined in an objective way.
We present an innovative workflow for the statistical analysis of fracture data collected along...
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